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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Ochoa, X. and Ternier, S. Technology Enhanced Learning 2017 , pp. 145-156  inbook URL 
BibTeX:
@inbook{Ochoa2017,
  author = {Ochoa, Xavier and Ternier, Stefaan},
  title = {Technology Enhanced Learning},
  publisher = {Springer},
  year = {2017},
  pages = {145-156},
  note = {978-3-319-02600-8},
  url = {https://link.springer.com/chapter/10.1007/978-3-319-02600-8_14}
}
Ochoa, X. Handbook of Learning Analytics 2017 , pp. 129-141  inbook DOI URL 
BibTeX:
@inbook{Ochoa2017a,
  author = {Ochoa, Xavier},
  title = {Handbook of Learning Analytics},
  publisher = {Society for Learning Analytics Research (SoLAR)},
  year = {2017},
  pages = {129-141},
  note = {978-0-9952408-0-3},
  url = {https://solaresearch.org/hla-17/hla17-chapter11/},
  doi = {http://doi.org/10.18608/hla17}
}
Spikol, D., Prieto, L.P., Rodr\iguez-Triana, M.J., Worsley, M., Ochoa, X., Cukurova, M., Vogel, B., Ruffaldi, E. and Ringtved, U.L. Current and Future Multimodal Learning Analytics Data Challenges 2017 Proceedings of the Seventh International Learning Analytics & Knowledge Conference, pp. 518-519  inproceedings DOI URL 
BibTeX:
@inproceedings{Spikol:2017:CFM:3027385.3029437,
  author = {Spikol, Daniel and Prieto, Luis P. and Rodr\iguez-Triana, M. J. and Worsley, Marcelo and Ochoa, Xavier and Cukurova, Mutlu and Vogel, Bahtijar and Ruffaldi, Emanuele and Ringtved, Ulla Lunde},
  title = {Current and Future Multimodal Learning Analytics Data Challenges},
  booktitle = {Proceedings of the Seventh International Learning Analytics & Knowledge Conference},
  publisher = {ACM},
  year = {2017},
  pages = {518--519},
  url = {http://doi.acm.org/10.1145/3027385.3029437},
  doi = {http://doi.org/10.1145/3027385.3029437}
}
Casali, A., Cechinel, C. and Ochoa, X. Special Issue on Strategies to Improve the Usability of Learning Object Repositories 2016 IEEE Revista Iberoamericana de Tecnologias del Aprendizaje
Vol. 11(2), pp. 71-72 
article DOI URL 
BibTeX:
@article{7452577,
  author = {A. Casali and C. Cechinel and X. Ochoa},
  title = {Special Issue on Strategies to Improve the Usability of Learning Object Repositories},
  journal = {IEEE Revista Iberoamericana de Tecnologias del Aprendizaje},
  year = {2016},
  volume = {11},
  number = {2},
  pages = {71-72},
  url = {http://ieeexplore.ieee.org/document/7452577/},
  doi = {http://doi.org/10.1109/RITA.2016.2553999}
}
Ochoa, X. Adaptive multilevel clustering model for the prediction of academic risk 2016 2016 XI Latin American Conference on Learning Objects and Technology (LACLO), pp. 1-8  inproceedings DOI  
BibTeX:
@inproceedings{7751800,
  author = {X. Ochoa},
  title = {Adaptive multilevel clustering model for the prediction of academic risk},
  booktitle = {2016 XI Latin American Conference on Learning Objects and Technology (LACLO)},
  year = {2016},
  pages = {1-8},
  doi = {http://doi.org/10.1109/LACLO.2016.7751800}
}
Brusilovsky, P., Sharples, M., Alves, G., Barnes, T., Chen, S., Chu, C., Drachsler, H., Isotani, S., Lindsay, E., Ochoa, X., Pechenizkiy, M., Rodrigo, M., Romero, C., Sosnovsky, S., Ternier, S. and Verbert, K. Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue 2016 IEEE Transactions on Learning Technologies
Vol. 9(1), pp. 1-4 
article DOI URL 
BibTeX:
@article{Brusilovsky20161,
  author = {Brusilovsky, P. and Sharples, M. and Alves, G.R. and Barnes, T. and Chen, S.Y. and Chu, C.H.C. and Drachsler, H. and Isotani, S. and Lindsay, E. and Ochoa, X. and Pechenizkiy, M. and Rodrigo, M.M.T. and Romero, C. and Sosnovsky, S. and Ternier, S. and Verbert, K.},
  title = {Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue},
  journal = {IEEE Transactions on Learning Technologies},
  year = {2016},
  volume = {9},
  number = {1},
  pages = {1-4},
  note = {cited By 0},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964344332&partnerID=40&md5=5b0c91cfe2685cd3396071edcb782eda},
  doi = {http://doi.org/10.1109/TLT.2016.2537399}
}
Greer, J., Molinaro, M., Ochoa, X. and McKay, T. Learning analytics for curriculum and program quality improvement (PCLA 2016) 2016 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp. 494-495  inproceedings  
BibTeX:
@inproceedings{greer2016learning,
  author = {Greer, Jim and Molinaro, Marco and Ochoa, Xavier and McKay, Timothy},
  title = {Learning analytics for curriculum and program quality improvement (PCLA 2016)},
  booktitle = {Proceedings of the Sixth International Conference on Learning Analytics & Knowledge},
  year = {2016},
  pages = {494--495}
}
Seipp, K., Ochoa, X., Gutiérrez, F. and Verbert, K. A Research Agenda for Managing Uncertainty in Visual Analytics 2016 Mensch und Computer 2016 – Workshopband  inproceedings URL 
BibTeX:
@inproceedings{mci/seipp2016,
  author = {Seipp, Karsten AND Ochoa, Xavier AND Gutiérrez, Francisco AND Verbert, Katrien},
  title = {A Research Agenda for Managing Uncertainty in Visual Analytics},
  booktitle = {Mensch und Computer 2016 – Workshopband},
  publisher = {Gesellschaft für Informatik e.V.},
  year = {2016},
  url = {http://dl.mensch-und-computer.de/handle/123456789/5125}
}
Ochoa, X. Simple Metrics for Curriculum Analytics 2016
Vol. 1590Proceedings of the 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop (PCLA), pp. 20-26 
inproceedings URL 
BibTeX:
@inproceedings{Ochoa:PCLA2016,
  author = {Xavier Ochoa},
  title = {Simple Metrics for Curriculum Analytics},
  booktitle = {Proceedings of the 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop (PCLA)},
  year = {2016},
  volume = {1590},
  pages = {20--26},
  url = {http://ceur-ws.org/Vol-1590/#paper-04}
}
Ochoa, X., Worsley, M., Weibel, N. and Oviatt, S. Multimodal learning analytics data challenges 2016 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp. 498-499  inproceedings  
BibTeX:
@inproceedings{ochoa2016multimodal,
  author = {Ochoa, Xavier and Worsley, Marcelo and Weibel, Nadir and Oviatt, Sharon},
  title = {Multimodal learning analytics data challenges},
  booktitle = {Proceedings of the Sixth International Conference on Learning Analytics & Knowledge},
  year = {2016},
  pages = {498--499}
}
Ochoa, X. and Worsley, M. Augmenting Learning Analytics with Multimodal Sensory Data 2016 Journal of Learning Analytics
Vol. 3(2), pp. 213-219 
article URL 
BibTeX:
@article{ochoajla2016,
  author = {Xavier Ochoa and Marcelo Worsley},
  title = {Augmenting Learning Analytics with Multimodal Sensory Data},
  journal = {Journal of Learning Analytics},
  year = {2016},
  volume = {3},
  number = {2},
  pages = {213-219},
  url = {http://learning-analytics.info/journals/index.php/JLA/article/view/5081/5595}
}
Sosnovsky, S., Santos, O.C. and Ochoa, X. Keynotes: Scaling up adaptive educational systems 2016 Learning Objects and Technology (LACLO), Latin American Conference on, pp. xiv-xvi  inproceedings  
BibTeX:
@inproceedings{sosnovsky2016keynotes,
  author = {Sosnovsky, Sergey and Santos, Olga C and Ochoa, Xavier},
  title = {Keynotes: Scaling up adaptive educational systems},
  booktitle = {Learning Objects and Technology (LACLO), Latin American Conference on},
  year = {2016},
  pages = {xiv--xvi}
}
Dom\inguez, F., Chiluiza, K., Echeverria, V. and Ochoa, X. Multimodal Selfies: Designing a Multimodal Recording Device for Students in Traditional Classrooms 2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pp. 567-574  inproceedings  
BibTeX:
@inproceedings{dominguez2015multimodal,
  author = {Dom\inguez, Federico and Chiluiza, Katherine and Echeverria, Vanessa and Ochoa, Xavier},
  title = {Multimodal Selfies: Designing a Multimodal Recording Device for Students in Traditional Classrooms},
  booktitle = {Proceedings of the 2015 ACM on International Conference on Multimodal Interaction},
  year = {2015},
  pages = {567--574}
}
Duval, E., Verbert, K., Klerkx, J., Wolpers, M., Pardo, A., Govaerts, S., Gillet, D., Ochoa, X. and Parra, D. VISLA: visual aspects of learning analytics 2015 Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, pp. 394-395  inproceedings URL 
BibTeX:
@inproceedings{duval2015visla,
  author = {Duval, Erik and Verbert, Katrien and Klerkx, Joris and Wolpers, Martin and Pardo, Abelardo and Govaerts, Sten and Gillet, Denis and Ochoa, Xavier and Parra, Denis},
  title = {VISLA: visual aspects of learning analytics},
  booktitle = {Proceedings of the Fifth International Conference on Learning Analytics And Knowledge},
  year = {2015},
  pages = {394--395},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Duval-LAK2015.pdf}
}
Ochoa, X. Visualizing Uncertainty in the Prediction of Academic Risk 2015 VISLA15: VISual Approaches to Learning Analytics Workshop  inproceedings URL 
BibTeX:
@inproceedings{Ochoa2015,
  author = {Ochoa, Xavier},
  title = {Visualizing Uncertainty in the Prediction of Academic Risk},
  booktitle = {VISLA15: VISual Approaches to Learning Analytics Workshop},
  year = {2015},
  url = {https://visla15.files.wordpress.com/2015/03/visla15_submission_6-3.pdf}
}
Podetti, M., Rodés, V., Ochoa, X., Silveira, I.F. and Casas, A.P. Creación Colaborativa de Recursos Educativos Abiertos: Experiencias de la Iniciativa LATIn 2015
Vol. 4(1)Anais dos Workshops do Congresso Brasileiro de Informática na Educação, pp. 951 
inproceedings  
BibTeX:
@inproceedings{podetti2015creacion,
  author = {Podetti, Manuel and Rodés, Virginia and Ochoa, Xavier and Silveira, Ismar Frango and Casas, Alén Pérez},
  title = {Creación Colaborativa de Recursos Educativos Abiertos: Experiencias de la Iniciativa LATIn},
  booktitle = {Anais dos Workshops do Congresso Brasileiro de Informática na Educação},
  year = {2015},
  volume = {4},
  number = {1},
  pages = {951}
}
Vásquez, A., Peláez, E. and Ochoa, X. Predictor basado en prototipos difusos y clasificación no-supervisada 2015 XI Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento, JIISIC 2015XI Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento, JIISIC 2015, pp. 197-206  inproceedings URL 
BibTeX:
@inproceedings{Vásquez2015197,
  author = {Vásquez, A. and Peláez, E. and Ochoa, X.},
  title = {Predictor basado en prototipos difusos y clasificación no-supervisada},
  booktitle = {XI Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento, JIISIC 2015},
  journal = {XI Jornadas Iberoamericanas de Ingenieria de Software e Ingenieria del Conocimiento, JIISIC 2015},
  year = {2015},
  pages = {197-206},
  note = {cited By 0},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84935102854&partnerID=40&md5=81a6968b66d8fa4a265be21f81628c3c}
}
Worsley, M., Chiluiza, K., Grafsgaard, J.F. and Ochoa, X. 2015 Multimodal Learning and Analytics Grand Challenge 2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pp. 525-529  inproceedings  
BibTeX:
@inproceedings{worsley20152015,
  author = {Worsley, Marcelo and Chiluiza, Katherine and Grafsgaard, Joseph F and Ochoa, Xavier},
  title = {2015 Multimodal Learning and Analytics Grand Challenge},
  booktitle = {Proceedings of the 2015 ACM on International Conference on Multimodal Interaction},
  year = {2015},
  pages = {525--529}
}
dos Santos, H.L., Carrillo, G., Cechinel, C. and Ochoa, X. Towards the use of Semantic Learning Object Repositories: Evaluating Queries Performance in two Different RDF Implementations 2014 Bulletin of the IEEE Technical Committee on Learning Technology
Vol. 16(4), pp. 6-9 
article URL 
BibTeX:
@article{2014,
  author = {Henrique L. dos Santos and Gladys Carrillo and Cristian Cechinel and Xavier Ochoa},
  title = {Towards the use of Semantic Learning Object Repositories: Evaluating Queries Performance in two Different RDF Implementations},
  journal = {Bulletin of the IEEE Technical Committee on Learning Technology},
  year = {2014},
  volume = {16},
  number = {4},
  pages = {6-9},
  url = {http://www.ieeetclt.org/issues/december2014/2-Santos.pdf}
}
Amiel, T., Soares, T. and Ochoa, X. Creating a map for OER initiatives in Latin America 2014
Vol. 5(1)Proceedings of the IX Latin American Conference in Learning Objects and Technologies (LACLO) 2014 
inproceedings URL 
BibTeX:
@inproceedings{amiel2015creating,
  author = {Amiel, Tel and Soares, Tiago and Ochoa, Xavier},
  title = {Creating a map for OER initiatives in Latin America},
  booktitle = {Proceedings of the IX Latin American Conference in Learning Objects and Technologies (LACLO) 2014},
  year = {2014},
  volume = {5},
  number = {1},
  url = {Amiel-LACLO2014.pdf http://ariadne.cti.espol.edu.ec/xavier/papers/Amiel-LACLO2014.pdf}
}
Cechinel, C. and Ochoa, X. A brief overview of quality inside learning object repositories. 2014 Proceedings of the XV International Conference on Human Computer Interaction, pp. 473-480  inproceedings URL 
BibTeX:
@inproceedings{Cechinel2014,
  author = {Cristian Cechinel and Xavier Ochoa},
  title = {A brief overview of quality inside learning object repositories.},
  booktitle = {Proceedings of the XV International Conference on Human Computer Interaction},
  year = {2014},
  pages = {473-480},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Cechinel-Interaccion2014.pdf}
}
Echeverr\ia, V., Avenda no, A., Chiluiza, K., Vásquez, A. and Ochoa, X. Presentation Skills Estimation Based on Video and Kinect Data Analysis 2014 Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge, pp. 53-60  inproceedings DOI URL 
BibTeX:
@inproceedings{Echeverria:2014:PSE:2666633.2666641,
  author = {Echeverr\ia, Vanessa and Avendaño, Allan and Chiluiza, Katherine and Vásquez, An\ibal and Ochoa, Xavier},
  title = {Presentation Skills Estimation Based on Video and Kinect Data Analysis},
  booktitle = {Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge},
  publisher = {ACM},
  year = {2014},
  pages = {53--60},
  url = {http://doi.acm.org/10.1145/2666633.2666641},
  doi = {http://doi.org/10.1145/2666633.2666641}
}
Mendez, G., Ochoa, X., Chiluiza, K. and de Wever, B. Curricular Design Analysis: A Data-Driven Perspective 2014 Journal of Learning Analytics
Vol. 1(3), pp. 84-119 
article URL 
BibTeX:
@article{GonzaloMendez2015,
  author = {Gonzalo Mendez and Xavier Ochoa and Katherine Chiluiza and Bram de Wever},
  title = {Curricular Design Analysis: A Data-Driven Perspective},
  journal = {Journal of Learning Analytics},
  year = {2014},
  volume = {1},
  number = {3},
  pages = {84-119},
  url = {http://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/4079}
}
Luzardo, G., Guamán, B., Chiluiza, K., Castells, J. and Ochoa, X. Estimation of Presentations Skills Based on Slides and Audio Features 2014 Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge, pp. 37-44  inproceedings DOI URL 
BibTeX:
@inproceedings{Luzardo:2014:EPS:2666633.2666639,
  author = {Luzardo, Gonzalo and Guamán, Bruno and Chiluiza, Katherine and Castells, Jaime and Ochoa, Xavier},
  title = {Estimation of Presentations Skills Based on Slides and Audio Features},
  booktitle = {Proceedings of the 2014 ACM Workshop on Multimodal Learning Analytics Workshop and Grand Challenge},
  publisher = {ACM},
  year = {2014},
  pages = {37--44},
  url = {http://doi.acm.org/10.1145/2666633.2666639},
  doi = {http://doi.org/10.1145/2666633.2666639}
}
Méndez, G., Ochoa, X. and Chiluiza, K. Techniques for Data-driven Curriculum Analysis 2014 Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, pp. 148-157  inproceedings DOI URL 
Abstract: One of the key promises of Learning Analytics research is to create
tools that could help educational institutions to gain a better insight
of the inner workings of their programs, in order to tune or correct
them. This work presents a set of simple techniques that applied
to readily available historical academic data could provide such
insights. The techniques described are real course difficulty estimation,
dependance estimation, curriculum coherence, dropout paths and load/performance
graph. The description of these techniques is accompanied by its
application to real academic data from a Computer Science program.
The results of the analysis are used to obtain recommendations for
curriculum re-design.
BibTeX:
@inproceedings{Mendez:2014:TDC:2567574.2567591,
  author = {Méndez, Gonzalo and Ochoa, Xavier and Chiluiza, Katherine},
  title = {Techniques for Data-driven Curriculum Analysis},
  booktitle = {Proceedings of the Fourth International Conference on Learning Analytics And Knowledge},
  publisher = {ACM},
  year = {2014},
  pages = {148--157},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Mendez-LAK2014.pdf},
  doi = {http://doi.org/10.1145/2567574.2567591}
}
Ochoa, X., Worsley, M., Chiluiza, K. and Luz, S. MLA'14: Third Multimodal Learning Analytics Workshop and Grand Challenges 2014 Proceedings of the 16th International Conference on Multimodal Interaction, pp. 531-532  inproceedings DOI URL 
BibTeX:
@inproceedings{Ochoa:2014:MTM:2663204.2668318,
  author = {Ochoa, Xavier and Worsley, Marcelo and Chiluiza, Katherine and Luz, Saturnino},
  title = {MLA'14: Third Multimodal Learning Analytics Workshop and Grand Challenges},
  booktitle = {Proceedings of the 16th International Conference on Multimodal Interaction},
  publisher = {ACM},
  year = {2014},
  pages = {531--532},
  url = {http://doi.acm.org/10.1145/2663204.2668318},
  doi = {http://doi.org/10.1145/2663204.2668318}
}
Ochoa, X., Suther, D., Verbert, K. and Duval, E. Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013) 2014 Journal of Learning Analytics
Vol. 1(2), pp. 5-22 
article URL 
BibTeX:
@article{Ochoa2014,
  author = {Xavier Ochoa and Dan Suther and Katrien Verbert and Erik Duval},
  title = {Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013)},
  journal = {Journal of Learning Analytics},
  year = {2014},
  volume = {1},
  number = {2},
  pages = {5-22},
  url = {http://epress.lib.uts.edu.au/journals/index.php/JLA/article/viewFile/4080/4155}
}
Ochoa, X., Carrillo, G. and Cechinel., C. Use of a Semantic Learning Repository to Facilitate the Creation of Modern e-Learning Systems. 2014 Proceedings of the XV International Conference on Human Computer Interaction, pp. 535-542  inproceedings URL 
BibTeX:
@inproceedings{Ochoa2014a,
  author = {Xavier Ochoa and Gladys Carrillo and Cristian Cechinel.},
  title = {Use of a Semantic Learning Repository to Facilitate the Creation of Modern e-Learning Systems.},
  booktitle = {Proceedings of the XV International Conference on Human Computer Interaction},
  year = {2014},
  pages = {535-542},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-Interaccion2014.pdf}
}
Silveira, I.F., Mustaro, P., Rodés, V., Omar, N. and Ochoa., X. Modelos de Diseño Instruccional con soporte a Libros Abiertos Colaborativos para Educación Abierta. 2014 Proceedings of the XV International Conference on Human Computer Interaction, pp. 543-548  inproceedings  
BibTeX:
@inproceedings{Silveira2014,
  author = {Ismar Frango Silveira and Pollyana Mustaro and Virginia Rodés and Nizam Omar and Xavier Ochoa.},
  title = {Modelos de Diseño Instruccional con soporte a Libros Abiertos Colaborativos para Educación Abierta.},
  booktitle = {Proceedings of the XV International Conference on Human Computer Interaction},
  year = {2014},
  pages = {543-548}
}
Duval, E. and Ochoa, X. LAK 2013 chairs' welcome 2013 ACM International Conference Proceeding Series, pp. iii  inproceedings URL 
BibTeX:
@inproceedings{Duval2013,
  author = {Duval, E. and Ochoa, X.},
  title = {LAK 2013 chairs' welcome},
  journal = {ACM International Conference Proceeding Series},
  year = {2013},
  pages = {iii},
  note = {cited By (since 1996)0},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84876466094&partnerID=40&md5=2842d5e898b4cf665c1ed1d1c0c3dbf4}
}
Ochoa, X., Casali, A., Deco, C., Gerling, V., Frango, I., Fager, J., Carrillo, G., Parra, G., Muñoz-Arteaga, J., Maturana, J., Araya, E. and Motz, R. Analysis of Existing Technological Platforms for the Collaborative Production of Open Textbooks 2013 Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 1106-1115  inproceedings URL 
BibTeX:
@inproceedings{Ochoa2013,
  author = {Ochoa, Xavier and Casali, Ana and Deco, Claudia and Gerling, Valeria and Frango, Ismar and Fager, Jose and Carrillo, Gladys and Parra, Gonzalo and Muñoz-Arteaga, Jaime and Maturana, Jorge and Araya, Erick and Motz, Regina},
  title = {Analysis of Existing Technological Platforms for the Collaborative Production of Open Textbooks},
  booktitle = {Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications},
  publisher = {AACE},
  year = {2013},
  pages = {1106-1115},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMEDIA2013.pdf}
}
Ochoa, X. Handbook of Metadata, Semantics And Ontologies 2013 , pp. 63-88  inbook URL 
BibTeX:
@inbook{Ochoa2013a,
  author = {Ochoa, Xavier},
  title = {Handbook of Metadata, Semantics And Ontologies},
  publisher = {World Scientific},
  year = {2013},
  pages = {63-88},
  url = {http://www.worldscientific.com/worldscibooks/10.1142/7077}
}
Ochoa, X., Chiluiza, K., Méndez, G., Luzardo, G., Guamán, B. and Castells, J. Expertise estimation based on simple multimodal features 2013 Proceedings of the 15th ACM on International conference on multimodal interaction, pp. 583-590  inproceedings URL 
BibTeX:
@inproceedings{ochoa2013expertise,
  author = {Ochoa, Xavier and Chiluiza, Katherine and Méndez, Gonzalo and Luzardo, Gonzalo and Guamán, Bruno and Castells, James},
  title = {Expertise estimation based on simple multimodal features},
  booktitle = {Proceedings of the 15th ACM on International conference on multimodal interaction},
  year = {2013},
  pages = {583--590},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ICMI2013.pdf}
}
Palavitsinis, N., Klerkx, J. and Ochoa, X. Editorial 2013 International Journal of Metadata, Semantics and Ontologies
Vol. 8(1), pp. 1-2 
article URL 
BibTeX:
@article{Palavitsinis20131,
  author = {Palavitsinis, N. and Klerkx, J. and Ochoa, X.},
  title = {Editorial},
  journal = {International Journal of Metadata, Semantics and Ontologies},
  year = {2013},
  volume = {8},
  number = {1},
  pages = {1-2},
  note = {cited By (since 1996)0},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84878722486&partnerID=40&md5=1bff52ca676c81dc4ac474735553336a}
}
Pincay, J. and Ochoa, X. Automatic Classification of Answers to Discussion Forums According to the Cognitive Domain of Bloom’s Taxonomy using Text Mining and a Bayesian Classifier 2013 Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 626-634  inproceedings URL 
BibTeX:
@inproceedings{Pincay2013,
  author = {Pincay, Jhonny and Ochoa, Xavier},
  title = {Automatic Classification of Answers to Discussion Forums According to the Cognitive Domain of Bloom’s Taxonomy using Text Mining and a Bayesian Classifier},
  booktitle = {Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications},
  publisher = {AACE},
  year = {2013},
  pages = {626-634},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Pincay-EDMEDIA2013.pdf}
}
Sicilia, M.-A., Ochoa, X., Stoitsis, G. and Klerkx, J. Learning Object Analytics for Collections, Repositories &38; Federations 2013 Proceedings of the Third International Conference on Learning Analytics and Knowledge, pp. 285-286  inproceedings DOI URL 
BibTeX:
@inproceedings{Sicilia:2013:LOA:2460296.2460359,
  author = {Sicilia, Miguel-Angel and Ochoa, Xavier and Stoitsis, Giannis and Klerkx, Joris},
  title = {Learning Object Analytics for Collections, Repositories &38; Federations},
  booktitle = {Proceedings of the Third International Conference on Learning Analytics and Knowledge},
  publisher = {ACM},
  year = {2013},
  pages = {285--286},
  url = {http://doi.acm.org/10.1145/2460296.2460359},
  doi = {http://doi.org/10.1145/2460296.2460359}
}
Silveira, I.F., Ochoa, X., Cuadros-Vargas, A., Casas, A.P., Casali, A., Ortega, A., Sprock, A.S., Alves, C.H., Collazos, C.A., Deco, C., Cuadros-Vargas, E., Knihs, E., Parra, G., Muñoz-Arteaga, J., dos Santos, J.G., Broisin, J., Omar, N., Motz, R., Rodés, V. and Bieliukas, Y.H.C. A Digital Ecosystem for the Collaborative Production of Open Textbooks: The LATIn Methodology 2013 Journal of Information Technology Education: Research
Vol. 12, pp. 225-249 
article URL 
BibTeX:
@article{Silveira2013,
  author = {Ismar Frango Silveira and Xavier Ochoa and Alex Cuadros-Vargas and Alén Pérez Casas and Ana Casali and Andre Ortega and Antonio Silva Sprock and Carlos Henrique Alves and Cesar Alberto Collazos and Claudia Deco and Ernesto Cuadros-Vargas and Everton Knihs and Gonzalo Parra and Jaime Muñoz-Arteaga and Jéssica Gomes dos Santos and Julien Broisin and Nizam Omar and Regina Motz and Virginia Rodés and Yosly Hernández C. Bieliukas},
  title = {A Digital Ecosystem for the Collaborative Production of Open Textbooks: The LATIn Methodology},
  journal = {Journal of Information Technology Education: Research},
  year = {2013},
  volume = {12},
  pages = {225-249},
  url = {http://www.jite.org/documents/Vol12/JITEv12ResearchP225-246SilveiraFT89.pdf}
}
Ochoa, X. and Carrillo, G. Recomendación de Objetos de Aprendizaje basado en el Perfil del Usuario y la Información de Atención Contextualizada 2013 Memorias de la 7ma. Conferencia Latinoamericana de Tecnologías y Objetos de Aprendizaje (LACLO 2013)  inproceedings  
BibTeX:
@inproceedings{,
  author = {Xavier Ochoa and Gladys Carrillo},
  title = {Recomendación de Objetos de Aprendizaje basado en el Perfil del Usuario y la Información de Atención Contextualizada},
  booktitle = {Memorias de la 7ma. Conferencia Latinoamericana de Tecnologías y Objetos de Aprendizaje (LACLO 2013)},
  year = {2013}
}
Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I. and Duval, E. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges 2012 IEEE Transactions on Learning Technologies
Vol. 99(PrePrints), pp. 318 - 335 
article DOI  
Abstract: Recommender systems have been researched extensively by the Technology
Enhanced Learning (TEL) community in the last decade. By identifying
suitable resources from a potentially overwhelming variety of choices,
such systems offer a promising approach to facilitate both learning
and teaching tasks. As learning is taking place in extremely diverse
and rich environments, the incorporation of contextual information
about the user in the recommendation process has attracted major
interest. Such contextualization is researched as a paradigm for
building intelligent systems that can better predict and anticipate
the needs of users, and act more efficiently in response to their
behavior. In this paper, we try to assess the degree to which current
work in TEL recommender systems has achieved this, as well as outline
areas in which further work is needed. First, we present a context
framework that identifies relevant context dimensions for TEL applications.
Then, we present an analysis of existing TEL recommender systems
along these dimensions. Finally, based on our survey results, we
outline topics on which further research is needed.
BibTeX:
@article{10.1109/TLT.2012.11,
  author = {Katrien Verbert and Nikos Manouselis and Xavier Ochoa and Martin Wolpers and Hendrik Drachsler and Ivana Bosnic and Erik Duval},
  title = {Context-Aware Recommender Systems for Learning: A Survey and Future Challenges},
  journal = {IEEE Transactions on Learning Technologies},
  publisher = {IEEE Computer Society},
  year = {2012},
  volume = {99},
  number = {PrePrints},
  pages = {318 - 335},
  doi = {http://doi.org/10.1109/TLT.2012.11}
}
Casali, A., Silva Sprock, A., Alves, C., Deco, C., Frango Silveira, I., Muñoz-Arteaga, J., Gomes dos Santos, J., Broisin, J., Morales, R., C Hernández Bieliuskas, Y. and others Collaborative Methodologies for Writing Open Educational Textbooks: a State-of art Review 2012
Vol. 1(1)Anais dos Workshops do Congresso Brasileiro de Informática na Educação 
inproceedings URL 
BibTeX:
@inproceedings{casali2012collaborative,
  author = {Casali, A. and Silva Sprock, A. and Alves, C.H. and Deco, C. and Frango Silveira, I. and Muñoz-Arteaga, J. and Gomes dos Santos, J. and Broisin, J. and Morales, R. and C Hernández Bieliuskas, Y. and others},
  title = {Collaborative Methodologies for Writing Open Educational Textbooks: a State-of art Review},
  booktitle = {Anais dos Workshops do Congresso Brasileiro de Informática na Educação},
  year = {2012},
  volume = {1},
  number = {1},
  url = {http://ceie-sbc.tempsite.ws/pub/index.php/wcbie/article/view/1896/1659}
}
Cechinel, C., da Silva Camargo, S., Ochoa, X., Sicilia, M.-A. and Sanchez-Alonso, S. Populating Learning Object Repositories with Hidden Internal Quality Information 2012 Recommender Systems in Technology Enhanced Learning. RecSysTEL-2012, pp. 11-22  inproceedings URL 
Abstract: It is known that current Learning Object Repositories adopt

strategies for quality assessment of their resources that rely on
the impressions

of quality given by the members of the repository community. Although
this

strategy can be considered effective at some extent, the number of
resources

inside repositories tends to increase more rapidly than the number
of

evaluations given by this community, thus leaving several resources
of the

repository without any quality assessment. The present work describes
the

results of an experiment for automatically generate quality information
about

learning resources inside repositories through the use of Artificial
Neural

Networks models. We were able to generate models for classifying resources

between good and not-good with accuracies that vary from 50% to 80%

depending on the given subset. The preliminary results found here
point out the

feasibility of such approach and can be used as a starting point for
the pursuit

of automatically generation of internal quality information about
resources

inside repositories.
BibTeX:
@inproceedings{Cechinel2012,
  author = {Cristian Cechinel and Sandro da Silva Camargo and Xavier Ochoa and Miguel-Angel Sicilia and Salvador Sanchez-Alonso},
  title = {Populating Learning Object Repositories with Hidden Internal Quality Information},
  booktitle = {Recommender Systems in Technology Enhanced Learning. RecSysTEL-2012},
  year = {2012},
  pages = {11-22},
  url = {http://ceur-ws.org/Vol-896/paper1.pdf}
}
Ochoa, X., Ortega, A., Carrillo, G. and Villavicencio, C. Large-Scale storage and retrieval of educational metadata using an RDF Store 2012 Workshop on Open Learning Technologies Transfer, pp. 60-68  inproceedings URL 
Abstract: There is a long tradition of the use of metadata stores in the

educational setting. These stores usually present a mismatch problem

between the structure of the metadata, usually some form of XML, and

the structure of the repository itself, for example relational

databases, or document-oriented stores. This mismatch lead to reduced

functionality of the metadata store. This work presents a different

alternative, using RDF as the internal representation of educational

repositories. The architecture and actual implementation of such a

system is also discussed. The use of a semantic representation of
the

educational metadata opens the door for novel functionalities that

could provide a more intelligent repository to the final user.
BibTeX:
@inproceedings{Ochoa2012,
  author = {Xavier Ochoa and Andre Ortega and Gladys Carrillo and Carlos Villavicencio},
  title = {Large-Scale storage and retrieval of educational metadata using an RDF Store},
  booktitle = {Workshop on Open Learning Technologies Transfer},
  year = {2012},
  pages = {60-68},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IGUAL2012.pdf}
}
Rodés, V., Pérez Casas, A., Ochoa, X. and Frango da Silveira, I. Percepciones, actitudes y prácticas respecto a los libros de texto, digitales y en formatos abiertos por parte de estudiantes de universidades de América Latina 2012
Vol. 1(1)Anais dos Workshops do Congresso Brasileiro de Informática na Educação 
inproceedings URL 
BibTeX:
@inproceedings{rodes2012percepciones,
  author = {Rodés, V. and Pérez Casas, A. and Ochoa, X. and Frango da Silveira, I.},
  title = {Percepciones, actitudes y prácticas respecto a los libros de texto, digitales y en formatos abiertos por parte de estudiantes de universidades de América Latina},
  booktitle = {Anais dos Workshops do Congresso Brasileiro de Informática na Educação},
  year = {2012},
  volume = {1},
  number = {1},
  url = {http://br-ie.org/pub/index.php/wcbie/article/view/1893/1656}
}
Verbert, K., Ochoa, X., Pardo, A. and Duval, E. Semi-automatic Assembly of Learning Resources 2012 Computers and Education
Vol. 59(4), pp. 1257–1272 
article DOI  
Abstract: Technology Enhanced Learning is a research field that has matured
considerably over the last decade. Many technical solutions to support
design, authoring and use of learning activities and resources have
been developed. The first datasets that reflect the tracking of actual
use of these tools in real-life settings are beginning to become
available. In this article, we present an exploratory study that
relies on these datasets to support semi-automatic assembly of learning
activities and resources for specific contexts. Starting from learning
designs and other online sources that describe well designed learning
experiences as they were used in practice, we derive sequencing patterns
that capture re-occurring patterns of activities. A semi-automatic
assembly framework uses these patterns to support teachers in the
design and authoring of course activities. We present a case study
that integrates recommendation support for sequencing activities
as well as associated resources in the LAMS learning activity environment.
Results indicate that the perceived usefulness is high: both teachers
with expertise in the use of learning design tools as well as teachers
with no background knowledge in the area indicate that the recommendations
helped them in the authoring process. In addition, they feel more
confident using learning design tools when support is provided that
is driven by best practice knowledge.
BibTeX:
@article{Verbert2012,
  author = {Katrien Verbert and Xavier Ochoa and Abelardo Pardo and Erik Duval},
  title = {Semi-automatic Assembly of Learning Resources},
  journal = {Computers and Education},
  year = {2012},
  volume = {59},
  number = {4},
  pages = {1257–1272},
  note = {Accepted},
  doi = {http://doi.org/10.1016/j.compedu.2012.06.005}
}
Ochoa, X. Learnometrics: metrics for learning objects 2011 Proceedings of the 1st International Conference on Learning Analytics and Knowledge, pp. 1-8  inproceedings DOI URL 
Abstract: The field of Technology Enhanced Learning (TEL) in general, has the
potential to solve one of the most important challenges of our time:
enable everyone to learn anything, anytime, anywhere. However, if
we look back at more than 50 years of research in TEL, it is not
clear where we are in terms of reaching our goal and whether we are,
indeed, moving forward. The pace at which technology and new ideas
evolve have created a rapid, even exponential, rate of change. This
rapid change, together with the natural difficulty to measure the
impact of technology in something as complex as learning, has lead
to a field with abundance of new, good ideas and scarcity of evaluation
studies. This lack of evaluation has resulted into the duplication
of efforts and a sense of no "ground truth" or "basic theory' of
TEL. This article is an attempt to stop, look back and measure, if
not the impact, at least the status of a small fraction of TEL, Learning
Object Technologies, in the real world. The measured apparent inexistence
of the reuse paradox, the two phase linear growth of repositories
or the ineffective metadata quality assessment of humans are clear
reminders that even bright theoretical discussions do not compensate
the lack of experimentation and measurement. Both theoretical and
empirical studies should go hand in hand in order to advance the
status of the field. This article is an invitation to other researchers
in the field to apply Informetric techniques to measure, understand
and apply in their tools the vast amount of information generated
by the usage of Technology Enhanced Learning systems.
BibTeX:
@inproceedings{Ochoa:2011:LML:2090116.2090117,
  author = {Ochoa, Xavier},
  title = {Learnometrics: metrics for learning objects},
  booktitle = {Proceedings of the 1st International Conference on Learning Analytics and Knowledge},
  publisher = {ACM},
  year = {2011},
  pages = {1--8},
  url = {http://doi.acm.org/10.1145/2090116.2090117},
  doi = {http://doi.org/10.1145/2090116.2090117}
}
Ochoa, X. Modeling the Macro-Behavior of Learning Object Repositories 2011 Interdisciplinary Journal of E-Learning and Learning Objects
Vol. 7, pp. 25-35 
article URL 
Abstract: Learning Object Repositories (LOR) are the result of the activity
of hundreds or thousands of contributing individuals. It has been
shown in a previous work by the author (Ochoa & Duval, 2008) that
LORs have an interesting macro-behavior, mostly governed by long-tailed
distribu- tions. The shape of these distributions provides valuable
information for the management and operation of LORs. However, the
reason why these distributions appear is not known. This work proposes
a simple model to explain this macro-behavior as the consequence
of very simple micro- behavior of individual contributors, more specifically
their number, production rate, and lifetime in the repository. This
model is formally presented and successfully validated against data
from existing LORs. While simple, this model seems to explain most
of the large-scale measurements in function of the small-scale interactions.
Finally, this work discusses the implications that this model has
in the planning and maintenance of new and existing LORs.
BibTeX:
@article{Ochoa2011,
  author = {Xavier Ochoa},
  title = {Modeling the Macro-Behavior of Learning Object Repositories},
  journal = {Interdisciplinary Journal of E-Learning and Learning Objects},
  year = {2011},
  volume = {7},
  pages = {25-35},
  url = {http://www.ijello.org/Volume7/IJELLOv7p025-035Ochoa739.pdf}
}
Santos, J.L., Ochoa, X., Parra, G. and Duval, E. La Experiencia de ARIADNE: Creando una Red de Reutilización de Objetos de Aprendizaje a través de Estándares y Especificaciones 2011 IEEE-RITA: Latin-American Learning Technologies Journal
Vol. 6(3), pp. 112-117 
article URL 
Abstract: ARIADNE is a European foundation that aims to foster “Share and Reuse”
of learning resources. To support this goal, ARIADNE has created
an infrastructure for managing learning objects in an open and scalable
way. This paper describes the technical approach behind our open,
standards based infrastructure, how content providers can connect
to it, and the value they can derive from doing so. As such, the
abundance that we help to unlock will act as a platform for innovation
by tool developers, trainers and teachers and learners themselves.
BibTeX:
@article{Santos2011,
  author = {Jose Luis Santos and Xavier Ochoa and Gonzalo Parra and Erik Duval},
  title = {La Experiencia de ARIADNE: Creando una Red de Reutilización de Objetos de Aprendizaje a través de Estándares y Especificaciones},
  journal = {IEEE-RITA: Latin-American Learning Technologies Journal},
  year = {2011},
  volume = {6},
  number = {3},
  pages = {112-117},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Santos-RITA.pdf}
}
Ochoa, X., Klerkx, J., Vandeputte, B. and Duval, E. On the use of Learning Object Metadata: the GLOBE experience 2011 Proceedings of the European Conference on Technology Enhanced Learning (ECTEL) 2011  inproceedings URL 
BibTeX:
@inproceedings{XavierOchoa2011,
  author = {Ochoa, X and Klerkx, J. and Vandeputte, B. and Duval, E.},
  title = {On the use of Learning Object Metadata: the GLOBE experience},
  booktitle = {Proceedings of the European Conference on Technology Enhanced Learning (ECTEL) 2011},
  year = {2011},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ECTEL2011.pdf}
}
Ochoa, X., Frango, I. and Silva, A. Collaborative Open Textbooks for Latin America – the LATIn Project 2011 Information Society (i-Society), 2011 International Conference on, pp. 398 - 403  inproceedings DOI URL 
Abstract: This paper presents the Latin American Open Textbook Initiative, which
aims to help to solve the problem of the high cost of textbooks for
higher education in Latin America. The main goal is the creation
of a supporting architecture, methodologies and policies for the
dissemination of cooperative open textbooks aimed for higher education,
customized specifically for the region.
BibTeX:
@inproceedings{,
  author = {Ochoa, X and Frango, I. and Silva, A.},
  title = {Collaborative Open Textbooks for Latin America – the LATIn Project},
  booktitle = {Information Society (i-Society), 2011 International Conference on},
  year = {2011},
  pages = {398 - 403},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-iSociety2011.pdf},
  doi = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5978479}
}
Silveira, I.F., Ochoa, X., Sprock, A.S., Mustaro, P.N. and Bieluskas, Y.C.H. Towards New Computational Architectures for Mass-Collaborative Open Educational Resources 2011 International Journal of Digital Information and Wireless Communications (IJDIWC)
Vol. 1(2), pp. 526-539 
article URL 
Abstract: Open Educational Resources offer several

benefits mostly in education and training.

Being potentially reusable, their use can

reduce time and cost of developing

educational programs, so that these savings

could be transferred directly to students

through the production of a large range of

open, freely available content, which vary

from hypermedia to digital textbooks. This

paper discuss this issue and presents a

project and a research network that, in spite

of being directed to Latin America's reality

and need, search for answers that would help

to solve some educational questions that go

beyond countries' boundaries.
BibTeX:
@article{,
  author = {Ismar Frango Silveira and Xavier Ochoa and Antonio Silva Sprock and Pollyana Notargiacomo Mustaro and Yosly C. Hernandez Bieluskas},
  title = {Towards New Computational Architectures for Mass-Collaborative Open Educational Resources},
  journal = {International Journal of Digital Information and Wireless Communications (IJDIWC)},
  year = {2011},
  volume = {1},
  number = {2},
  pages = {526-539},
  url = {http://www.sdiwc.net/noahjohn/web-admin/upload-pdf/00000131.pdf}
}
Ochoa, X. Connexions: a Social and Successful Anomaly among Learning Object Repositories 2010 Journal of Emerging Technologies in Web Intelligence
Vol. 2(1), pp. 11-22 
article URL 
Abstract: Connexions is a Learning Object Repository that has gained notoriety
as a successful example of collaborative creation of learning materials.
In a previous quantitative study about the characteristics of learning
material repositories, Connexions presented some anomalies that prevented
it to be classified together with other Learning Object Repositories.
This paper, working with updated data, finds that those anomalies
are not errors of the previous study, but that the anomalies have
increased and are more strongly expressed. Moreover, those anomalies,
namely the exponential growth in the number of contributors and content,
seem to be the reason behind the success of Connexions. It is concluded
in this work that Connexions strategy of “release early, release
often”, together with the openness of its core community, that welcome
and support newcomers and sporadic contributors, offer a reasonable
explanation for the exponential growth trends found in Connection,
that can be classified now as a Social Learning Object Repository.
BibTeX:
@article{Ochoa2010,
  author = {Ochoa, Xavier},
  title = {Connexions: a Social and Successful Anomaly among Learning Object Repositories},
  journal = {Journal of Emerging Technologies in Web Intelligence},
  year = {2010},
  volume = {2},
  number = {1},
  pages = {11-22},
  url = {http://academypublisher.com/ojs/index.php/jetwi/article/view/02011122}
}
Ochoa, X. Modeling the Macro-Behavior of Learning Object Repositories 2010 Proceedings of the Fifth Latin American Conference on Learning Objects  inproceedings URL 
Abstract: Learning Object Repositories (LOR) are the result of the activity
of hundreds or thousands of contributing individuals. It has been
shown in Ochoa & Duval, 2009 that LOR have an interesting macro-behavior,
mostly governed by long-tailed distributions. The shape of these
distributions provides valuable information for the management and
operation of LORs. However, the reason why these distributions appear
is not known. This work proposes a simple model to explain this macro-behavior
the consequence of the very simple micro-behavior of individual contributors,
more specifically their number, production rate and lifetime in the
repository. This model is formally presented and successfully validated
against data from existing LORs. While simple, this model seems to
explain most of the large-scale measurements in function of the small-scale
interactions. Finally, this work discusses the implications that
this model has in the planning and maintenance of new and existing
LORs.
BibTeX:
@inproceedings{Ochoa2010a,
  author = {Ochoa, Xavier},
  title = {Modeling the Macro-Behavior of Learning Object Repositories},
  booktitle = {Proceedings of the Fifth Latin American Conference on Learning Objects},
  year = {2010},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-LACLO2010.pdf}
}
Ternier, S., Verbert, K., Parra, G., Vandeputte, B., Klerkx, J., Duval, E., Ordóñez, V. and Ochoa, X. The Ariadne Infrastructure for Managing and Storing Metadata 2009 IEEE Internet Computing
Vol. 13(4), pp. 18-25 
article DOI  
BibTeX:
@article{10.1109/MIC.2009.90,
  author = {Stefaan Ternier and Katrien Verbert and Gonzalo Parra and Bram Vandeputte and Joris Klerkx and Erik Duval and Vicente Ordóñez and Xavier Ochoa},
  title = {The Ariadne Infrastructure for Managing and Storing Metadata},
  journal = {IEEE Internet Computing},
  publisher = {IEEE Computer Society},
  year = {2009},
  volume = {13},
  number = {4},
  pages = {18-25},
  doi = {http://doi.org/10.1109/MIC.2009.90}
}
Duval, E., Verbert, K., Ochoa, X. and Hodgins, W. The Snowflake Number. 2009 Proceedings of the WebSci'09: Society On-Line,  inproceedings URL 
BibTeX:
@inproceedings{Duval2009,
  author = {Duval, Erik and Verbert, Katrien and Ochoa, Xavier and Hodgins, Wayne},
  title = {The Snowflake Number.},
  booktitle = {Proceedings of the WebSci'09: Society On-Line,},
  year = {2009},
  url = {http://www2.computer.org/portal/web/csdl/doi/10.1109/MIC.2009.90}
}
Morales, R., Ochoa, X., Sanchez, V. and Ordonez, V. LA FLOR - Repositorio Latinoamericano de Objetos de Aprendizaje 2009 Recursos Digitales para el Aprendizaje, pp. 308-317  inproceedings  
BibTeX:
@inproceedings{Morales2009,
  author = {Rafael Morales and Xavier Ochoa and Victor Sanchez and Vicente Ordonez},
  title = {LA FLOR - Repositorio Latinoamericano de Objetos de Aprendizaje},
  booktitle = {Recursos Digitales para el Aprendizaje},
  year = {2009},
  pages = {308-317}
}
Ochoa, X. Learnometrica: Métricas para Objetos de Aprendizaje 2009 Recursos Digitales para el Aprendizaje - CcITA 2009, pp. 34-37  inproceedings  
BibTeX:
@inproceedings{Ochoa2009,
  author = {Xavier Ochoa},
  title = {Learnometrica: Métricas para Objetos de Aprendizaje},
  booktitle = {Recursos Digitales para el Aprendizaje - CcITA 2009},
  year = {2009},
  pages = {34-37}
}
Ochoa, X., Mendez, G. and Duval, E. Who we are: Analysis of 10 years of the ED-Media Conference 2009 Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2009, pp. 189-200  inproceedings URL 
BibTeX:
@inproceedings{Ochoa2009a,
  author = {Xavier Ochoa and Gonzalo Mendez and Erik Duval},
  title = {Who we are: Analysis of 10 years of the ED-Media Conference},
  booktitle = {Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2009},
  year = {2009},
  pages = {189-200},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2009.pdf}
}
Ochoa, X. and Duval, E. Quantitative Analysis of Learning Object Repositories 2009 IEEE Transactions on Learning Technologies
Vol. 2(3), pp. 226-238 
article URL 
BibTeX:
@article{Ochoa2009b,
  author = {Ochoa, Xavier and Duval, Erik},
  title = {Quantitative Analysis of Learning Object Repositories},
  journal = {IEEE Transactions on Learning Technologies},
  year = {2009},
  volume = {2},
  number = {3},
  pages = {226-238},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-TLT2009b.pdf}
}
Ochoa, X. and Duval, E. Automatic Evaluation of Metadata Quality in Digital Libraries 2009 International Journal of Digital Libraries
Vol. 10(2), pp. 67-91 
article DOI URL 
BibTeX:
@article{Ochoa2009c,
  author = {Xavier Ochoa and Erik Duval},
  title = {Automatic Evaluation of Metadata Quality in Digital Libraries},
  journal = {International Journal of Digital Libraries},
  year = {2009},
  volume = {10},
  number = {2},
  pages = {67-91},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IJDL2009.pdf},
  doi = {http://doi.org/10.1007/s00799-009-0054-4}
}
Vourikari, R. and Ochoa, X. Exploratory Analysis of the Main Characteristics of Tags and Tagging of Educational Resources in a Multi-lingual Context 2009 Journal of Digital Information
Vol. 10(2), pp. 10 
article URL 
Abstract: Although social, collaborative classification through tagging has
been the focus of recent research, the effect of multi-linguality
is often overlooked. This work presents an exploratory study of the
production and use of tags in multiple languages in a context of
European Learning Resources Exchange. We describe a tagging tool
used by teachers from 6 countries and study the main characteristics
of tags and how users tag when multiple languages are presented.
We find early indication that tags and bookmarks could be used to
facilitate the discovery of educational resources across country
and language borders. “Hiding all but the right tags” becomes crucial
for the success of a multi-lingual collaborative tagging system.
BibTeX:
@article{RiinaVourikari2009,
  author = {Vourikari, Riina and Ochoa, Xavier},
  title = {Exploratory Analysis of the Main Characteristics of Tags and Tagging of Educational Resources in a Multi-lingual Context},
  journal = {Journal of Digital Information},
  year = {2009},
  volume = {10},
  number = {2},
  pages = {10},
  url = {http://journals.tdl.org/jodi/article/viewArticle/447}
}
Ochoa, X. and Duval, E. Relevance Ranking Metrics for Learning Objects 2008 IEEE Transactions on Learning Technologies
Vol. 1(1), pp. 34-48 
article DOI URL 
Abstract: The main objetive of this paper is to improve the current status of
learning object search. First, the current situation is analyzed
and a theretical solution, based on relevance ranking is pruposed.
To implement this solution, the paper develops the concept of relevance
in the context of learning object search. Based on this concept,
it proposes a set of metrics to estimate the topical, personal and
situational relevance dimensions. These metrics are calculated mainly
from usage and contextual information and do not require any explicit
information from users. An exploratory evaluation of the metrics
shows that even the simplest ones provide statistically significant
improvement in the ranking order over the most common algorithmic
relevance metric. Moreover, combining the metrics through learning
algorithms sorts the result list 50% better than the base-line ranking.
BibTeX:
@article{10.1109/TLT.2008.1,
  author = {Xavier Ochoa and Erik Duval},
  title = {Relevance Ranking Metrics for Learning Objects},
  journal = {IEEE Transactions on Learning Technologies},
  publisher = {IEEE Computer Society},
  year = {2008},
  volume = {1},
  number = {1},
  pages = {34-48},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-TLT2009a.pdf},
  doi = {http://doi.org/10.1109/TLT.2008.1}
}
Bayot, B., Sonnenholzner, S., Ochoa, X., Guerrerro, J., Vera, T., Calderon, J., de Blas, I., del Pilar Cornejo-Grunauer, M., Stern, S. and Ollevier, F. An online operational alert system for the early detection of shrimp epidemics at the regional level based on real-time production 2008 Aquaculture
Vol. 277(3-4), pp. 164-173 
article URL 
Abstract: Diseases are among the greatest threats affecting the sustainability
of shrimp aquaculture. In Ecuador, diseases of cultured shrimp have
been quickly transmitted from one region to another. Therefore, an
early detection system of impending epidemics could serve as an important
management tool for the aquaculture sector. We developed a system
for the early detection of shrimp epidemics for the largest shrimp
zone of Ecuador based on production surveillance. The system, called
Epidemiological Alert System and Aquaculture Management (SAEMA),
uses a geographical information system (GIS) with an imaginary grid
cartography (12,860 ha per grid) dividing the study area. A production
and management index is calculated with the harvest data of each
pond. A standardized deviation around the historical averages and
an alert level is calculated per grid and month. Normal conditions
of production and therefore the absence of disease are depicted in
green and yellow. While, orange and red colours express a disease
warning manifested through suboptimal production levels. As a result,
a map of the study area with grid divisions is displayed, with a
specific alert colour for each grid where information is available.
SAEMA was developed as a Web application (http://www.saema.espol.edu.ec)
that enables producers to record data via a worksheet format using
any web browser. Instantaneously, the applications perform a calculation
of the alert index and provide feedback to the alert levels displayed
in an interactive map. A feedback process was initiated in May 2006
with 19 participating shrimp farms. The objective of this research
is to develop a platform for an early detection of shrimp epidemics
on a regional scale. The detection of an epidemic, expressed as suboptimal
production in a specific region, can provide producers from other
zones and government authorities to engage in time preventive and
control measures in order to reduce the spread of diseases.
BibTeX:
@article{bayot_online_2008,
  author = {Bonny Bayot and Stanislaus Sonnenholzner and Xavier Ochoa and Johanna Guerrerro and Teresa Vera and Jorge Calderon and Ignacio de Blas and Maria del Pilar Cornejo-Grunauer and Sam Stern and Frans Ollevier},
  title = {An online operational alert system for the early detection of shrimp epidemics at the regional level based on real-time production},
  journal = {Aquaculture},
  year = {2008},
  volume = {277},
  number = {3-4},
  pages = {164-173},
  url = {http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T4D-4S0PK4X-1&_user=10&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=311f1ee6c0b257f20b9b68c5d9292e02}
}
Motz, R., Viola, A., de Oliveira, J.P., de Lima, J.V., Ochoa, X., Deco, C., Casali, A., Bender, C. and Alvarez, M.A.P. Project JARDIN: Just an Assistant for instructional DesIgN 2008 Proceedings of the Third Latin American Conference on Learning Objects, pp. 223-227  inproceedings  
BibTeX:
@inproceedings{Motz2008,
  author = {Regina Motz and Alfredo Viola and José Palazzo de Oliveira and José Valdení de Lima and Xavier Ochoa and Claudia Deco and Ana Casali and Cristina Bender and Miguel Angel Pérez Alvarez},
  title = {Project JARDIN: Just an Assistant for instructional DesIgN},
  booktitle = {Proceedings of the Third Latin American Conference on Learning Objects},
  year = {2008},
  pages = {223-227}
}
Ochoa, X. and Duval, E. Times of Convergence. Technologies Across Learning Contexts 2008 Times of Convergence. Technologies Across Learning Contexts, pp. 322-325  inbook URL 
Abstract: This paper presents a quantitative analysis of the reuse of learning
objects in real world settings. The data for this analysis was obtained
from three sources: Connexions’ modules, University courses and
Presentation components. They represent the reuse of learning objects
at different granularity levels. Data from other types of reusable
components, such as software libraries, Wikipedia images and Web
APIs, were used for comparison purposes. Finally, the paper discusses
the implications of the findings in the field of Learning Object
research.
BibTeX:
@inbook{ochoa_measuring_2008,
  author = {Xavier Ochoa and Erik Duval},
  title = {Times of Convergence. Technologies Across Learning Contexts},
  journal = {Times of Convergence. Technologies Across Learning Contexts},
  publisher = {Springer},
  year = {2008},
  pages = {322--325},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ECTEL2008.pdf}
}
Ochoa, X. and Duval, E. Quantitative Analysis of User-Generated Content on the Web 2008 Proceedings of the First International Workshop on Understanding Web Evolution (WebEvolve2008), pp. 19-26  inproceedings URL 
Abstract: User-generated content (UGC) is becoming the most popular and valuable
information available on the WWW. However, little serious research
has been conducted to measure the properties of its production process.
This paper presents an in-depth quantitative analysis of 9 popular
websites that are based on different UGC types. The Information Production
Process is used as a framework for the analysis. The findings provide
for first time strong scientific evidence for previously anecdotic
knowledge: UGC production follows “long-tail” distributions and it
is marked with a strong “participation inequality”. Also, the analysis
arrived to unexpected findings: not all the UGC types follow the
inverse power-law distribution, and large content collections could
be dominated by the presence of ultraproductive users. The analysis
results also have implications for the administration of UGC-based
websites.
BibTeX:
@inproceedings{ochoa_quantitative_2008,
  author = {Xavier Ochoa and Erik Duval},
  title = {Quantitative Analysis of User-Generated Content on the Web},
  booktitle = {Proceedings of the First International Workshop on Understanding Web Evolution (WebEvolve2008)},
  year = {2008},
  pages = {19-26},
  note = {ISBN: 978 085432885 7},
  url = {http://journal.webscience.org/34/}
}
Ochoa, X. and Duval, E. Quantitative Analysis of Learning Object Repositories 2008 Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2008, pp. 6031-6040  inproceedings URL 
Abstract: Learning Objects Repositories are the backbone of the Learning Object
Economy, however little is known

about their operation and much less on how that operation should be
measured. Some Learnometrics (metrics

for Learning Objects) need to be researched and implemented. This
paper is a first step in that direction,

performing a quantitative analysis of several aspects of Learning
Object Repositories and Referatories in

order to answer questions on their size, growth, contributor base
and popularity. The analysis is performed

on data from live repositories and referatories. The result of the
analysis provides confirmation to long held

belief, but also point out singular characteristics not previously
discussed. Some of the findings are that

LORs grow linearly, contribution distribution follows a power law
and popularity of objects follows a log-

normal distribution. The paper finalizes giving answer to the raised
questions as well as the implication that

these answer have in LOR community.
BibTeX:
@inproceedings{ochoa_quantitative_2008a,
  author = {Xavier Ochoa and Erik Duval},
  title = {Quantitative Analysis of Learning Object Repositories},
  booktitle = {Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2008},
  year = {2008},
  pages = {6031-6040},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2008.pdf}
}
Ochoa, X. Learnometrics: Metrics for Learning Objects 2008 School: Katholieke Universiteit Leuven  phdthesis URL 
Abstract: Information technology have been changing and improving the way in
which teaching and learning is conducted. One aspect where the Information
Technology is having profound impact is the creation and reuse of
digital learning materials or more commonly called Learning Objects.
Thanks to its digital nature, these objects are easy to copy, distribute
and adapt. This means that teachers and learners do not need to create
all their learning material, but they can share what they already
have and obtain and repurpose existing content made by their peers.
This economy based in sharing leads to considerable saving in time
and effort and provide learning materials of better quality to an
expanded population.

However useful this Learning Object Economy is, little is known about
how it works. How many learning objects are published and reused?
how many objects each teacher produce? what is the optimal size of
the objects? are basic questions that did not have an answer. Also,
the tools used to create, publish, search and reuse learning objects
are not smart enough and require a considerable amount of work from
the users. This dissertation study the inner workings of the Learning
Object Economy and propose small calculations (metrics) that can
be used to improve current tools.

The main findings of this research reveal that the Learning Object
Economy exist but it is still immature and that the application of
simple metrics could greatly improve the way in which learning objects
are shared and reused.
BibTeX:
@phdthesis{Ochoa2008,
  author = {Ochoa, X},
  title = {Learnometrics: Metrics for Learning Objects},
  school = {Katholieke Universiteit Leuven},
  year = {2008},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/ThesisFinal2.pdf}
}
Ordonez, V. and Ochoa, X. Diseno de la Arquitectura de Software para un Sistema de Recuperacion de Informacion de Audio 2008 Investigacion y Desarrollo
Vol. 15, pp. 42-47 
article  
BibTeX:
@article{ordonez_diseno_2008,
  author = {Vicente Ordonez and Xavier Ochoa},
  title = {Diseno de la Arquitectura de Software para un Sistema de Recuperacion de Informacion de Audio},
  journal = {Investigacion y Desarrollo},
  year = {2008},
  volume = {15},
  pages = {42-47}
}
Verbert, K., Ochoa, X. and Duval, E. The ALOCOM Framework: Towards Scalable Content Reuse 2008 Journal of Digital Information
Vol. 9(26), pp. 1-24 
article URL 
Abstract: This paper presents a framework that enables flexible content reuse.
Unlike the usual practice where document components, such as images,
definitions, text fragments, tables or diagrams, are assembled manually
through copy-and-paste, the framework enables on-the-fly access and
reuse. Retrieval of relevant components is enabled by automatic decomposition
of legacy documents and storage of individual components, enriched
with metadata. Furthermore, the automatic assembly of these components
in mainstream authoring tools is supported. The paper describes the
framework and its current support for re-assembling PowerPoint, Wikipedia
and SCORM components in authoring tools. In addition, an evaluation
is presented that aims to assess the effectiveness and efficiency
of such content reuse for presentations.
BibTeX:
@article{verbert_alocom_2008,
  author = {Verbert, Katrien and Ochoa, Xavier and Duval, Erik},
  title = {The ALOCOM Framework: Towards Scalable Content Reuse},
  journal = {Journal of Digital Information},
  year = {2008},
  volume = {9},
  number = {26},
  pages = {1-24},
  url = {http://journals.tdl.org/jodi/article/view/225/199}
}
Duval, E., Ternier, S., Wolpers, M., Najjar, J., Vandeputte, B., Verbert, K., Klerkx, J., Meire, M. and Ochoa, X. Open metadata for open educational resources in an open infrastructure 2007 Proceedings of the OpenLearn2007 conference: researching open content in education, pp. 36-38  inproceedings URL 
Abstract: We believe that the open educational resources movement focuses too
much on one

of the three important aspects for openness, i.e. open content. In
order to take full

advantage of the open educational resources, attention should also
be given to open

metadata and standards, so that a truly open infrastructure for learning
can be

developed. We are heavily involved in research around all three these
aspects, and in

the actual roll-out for diverse learning communities of this infrastructure.
BibTeX:
@inproceedings{Duval2007,
  author = {Duval, Erik and Ternier, Stefaan and Wolpers, Martin and Najjar, Jehad and Vandeputte, Bram and Verbert, Katrien and Klerkx, Joris and Meire, Michael and Ochoa, Xavier},
  title = {Open metadata for open educational resources in an open infrastructure},
  booktitle = {Proceedings of the OpenLearn2007 conference: researching open content in education},
  publisher = {Open University},
  year = {2007},
  pages = {36-38},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Duval-OpenLearn2007.pdf}
}
Meire, M., Ochoa, X. and Duval, E. SAmgI: Automatic Metadata Generation v2.0 2007 World Conference on Educational Multimedia, Hypermedia and Telecommunications 2007Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2007, pp. 1195-1204  inproceedings URL 
Abstract: Manual creation of metadata is tedious, error-prone and doesn?t scale.
As the amount of learning content continues to grow, it becomes less
and less feasible to describe all available content manually. Moreover,
the metadata humans create are not perfect. Therefore, we need a
change in approach, trying to automate this process as much as possible.
In this paper, we provide an overview of our work from the last three
years on how to achieve this automation. We also present a software
design and implementation that has been evaluated in practice and
that is being deployed at large scale. We detail the architectural
design goals that made us evolve from a first approach to the current
one.
BibTeX:
@inproceedings{meire_samgi:_2007,
  author = {Michael Meire and Xavier Ochoa and Erik Duval},
  title = {SAmgI: Automatic Metadata Generation v2.0},
  booktitle = {Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications ED-Media 2007},
  journal = {World Conference on Educational Multimedia, Hypermedia and Telecommunications 2007},
  publisher = {AACE},
  year = {2007},
  pages = {1195-1204},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Meire-EDMedia2007.pdf}
}
Munoz, J., Ochoa, X., Calvillo, E. and Parra, G. Integracion de REDOUAA a la Federacion Latinoamericana de Repositorios de Objetos de Aprendizaje 2007 Proceedings of the Second Latin American Conference on Learning Objects, pp. 91-96  inproceedings URL 
Abstract: Ofrecer cursos de educacion a distancia conformados por unidades de
conocimiento proveniente de una red de repositorios de objetos de
aprendizaje distribuidos actualmente ya es posible. Este articulo
presenta la experiencia de haber integrado el Repositorio de Objetos
De aprendizaje de la Universidad Autónoma de Aguascalientes (REDOUAA)
a la red de repositorios de objetos de aprendizaje latinoamericanos.
El principal objetivo es mitigar así la problematica de falta de
contenidos academicos portables y reutilizable aportados por las
instituciones de educacion superior en particular las que pertenecen
a la region de Latinoamerica.
BibTeX:
@inproceedings{munoz_integracion_2007,
  author = {Jaime Munoz and Xavier Ochoa and Edgar Calvillo and Gonzalo Parra},
  title = {Integracion de REDOUAA a la Federacion Latinoamericana de Repositorios de Objetos de Aprendizaje},
  booktitle = {Proceedings of the Second Latin American Conference on Learning Objects},
  year = {2007},
  pages = {91-96},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Munoz-LACLO2007.pdf}
}
Ochoa, X. and Duval, E. Relevance Ranking Metrics for Learning Objects 2007 Creating New Learning Experiences on a Global Scale
Vol. 4753, pp. 262-276 
inbook URL 
Abstract: Technologies that solve the scarce availability of learning objects
have created the opposite problem: abundance of choice. The solution
to that problem is relevance ranking. Unfortunately current techniques
used to rank learning objects are not able to present the user with
a meaningful ordering of the result list. This work interpret the
Information Retrieval concept of Relevance in the context of learning
object search and use that interpretation to propose a set of metrics
to estimate the Topical, Personal and Situational relevance. These
metrics are calculated mainly from usage and contextual information.
An exploratory evaluation of the metrics shows that even the simplest
ones provide statistically significant improvement in the ranking
order over the most common algorithmic relevance metric.
BibTeX:
@inbook{ochoa_relevance_2007,
  author = {Ochoa, Xavier and Duval, Erik},
  title = {Relevance Ranking Metrics for Learning Objects},
  journal = {Creating New Learning Experiences on a Global Scale},
  year = {2007},
  volume = {4753},
  pages = {262-276},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ECTEL2007.pdf}
}
Ochoa, X. and Duval, E. Relevance Ranking of Learning Objects based on Usage and Contextual Information 2007 Proceedings of the Second Latin American Conference on Learning ObjectsProceedings of the Second Latin American Conference on Learning Objects, pp. 149-156  inproceedings URL 
Abstract: Traditional mechanisms used to rank learning objects are not longer
viable thanks to the current abundance of resources. This work proposes
the construction of an improved relevance ranking function based
on contextualized attention data extracted from the interaction between
the users and the objects. A multidimensional approach to relevance
is followed. Beside the Algorithmic relevance, currently used in
most ranking functions for learning objects, another three more subjective
types of relevance are estimated: Topical, Pertinence and Situational.
These four types are linearly combined into a holistic relevance
ranking. This work also proposes how this combined function could
be efficiently calculated and implemented as a Ranked Search service
inside existing e-learning tools.
BibTeX:
@inproceedings{ochoa_relevance_2007a,
  author = {Xavier Ochoa and Erik Duval},
  title = {Relevance Ranking of Learning Objects based on Usage and Contextual Information},
  booktitle = {Proceedings of the Second Latin American Conference on Learning Objects},
  journal = {Proceedings of the Second Latin American Conference on Learning Objects},
  year = {2007},
  pages = {149-156},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-LACLO2007.pdf}
}
Vuorikari, R., Ochoa, X. and Duval, E. Analysis of User Behavior on Multilingual Tagging of Learning Objects 2007 Proceedings of the First Workshop on Social Information Retrival in Technology Enhanced Learning (SIRTEL 2007)  inproceedings URL 
Abstract: Although social, collaborative classification through tagging has

been the focus of recent research, the effect of multilingual tags
is often

overlooked. This work presents an early exploratory study of the production

and consumption of multilingual tags in a European educational K-12
context.

The data, produced by teachers bookmarking and tagging learning resources

during three month period, was analysed. Thereafter, a focus group
of teachers

evaluated a sample of learning resources with metadata records containing
both

thesaurus terms and multilingual tags. The results of this early study
suggest

that some tags are found as useful as thesaurus terms and that users
are divided

about the benefits of multilingual tags. As some tags are useful for
some users,

“hiding all but the right tags” becomes crucial for the success of
a multilingual

collaborative tagging system.
BibTeX:
@inproceedings{vuorikari_analysis_2007,
  author = {Riina Vuorikari and Xavier Ochoa and Erik Duval},
  title = {Analysis of User Behavior on Multilingual Tagging of Learning Objects},
  booktitle = {Proceedings of the First Workshop on Social Information Retrival in Technology Enhanced Learning (SIRTEL 2007)},
  year = {2007},
  url = {http://infolab-dev.aua.gr/sirtel2007/papers/Vuorikari_et_al.pdf}
}
Ochoa, X., Ternier, S., Parra, G. and Duval, E. A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects 2006 Innovative Approaches for Learning and Knowledge Sharing
Vol. 4227, pp. 697-702 
inbook URL 
Abstract: In this paper, we will propose a framework for finding, recommending
and inserting learning objects in a digital repository, exploiting
the user context that is captured from the Learning Management System
(LMS). The framework we propose builds on top of the ARIADNE service
oriented architecture for learning object repositories, abstracting
from the technicalities of low level metadata and resource management.
As a case study, the framework has been applied in a university learning
management system (SIDWeb). The intent is to exploit contextual information
from the learning management system in digital repositories. Keywords:
Service Oriented Architectures, Learning Management Systems, Recommender
services.
BibTeX:
@inbook{ochoa_context-aware_2006,
  author = {Xavier Ochoa and Stefaan Ternier and Gonzalo Parra and Erik Duval},
  title = {A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects},
  journal = {Innovative Approaches for Learning and Knowledge Sharing},
  publisher = {Springer},
  year = {2006},
  volume = {4227},
  pages = {697-702},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ECTEL2006.pdf}
}
Ochoa, X. and Duval, E. Quality Metrics for Learning Object Metadata 2006 World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006, pp. 1004-1011  inproceedings URL 
Abstract: The quality of the learning objects metadata records stored in a repository
is important its operation and interoperability. While several studies
have tried to define and measure quality for metadata, a scalable
and effective way to assess this quality is not currently available.
This work converts the fuzzy quality definitions found in those studies
into implementable measures (metrics). Several of these metrics are
proposed. They are based on the same quality parameters used for
human review of metadata: completeness, accuracy, provenance, conformance
to expectations, logical consistency and coherence, timeliness, and
accessibility. The information requirements to calculate the proposed
metrics are also detailed. Some of these metrics are implemented
and tested over to two collection of Learning Object Metadata, one
of mainly human generated metadata, the other generated by automated
means. Early results suggest that the metrics are indeed sensible
to quality features in the metadata. Finally, this work recommends
further work to validate and calibrate the proposed metrics.
BibTeX:
@inproceedings{ochoa_quality_2006,
  author = {Xavier Ochoa and Erik Duval},
  title = {Quality Metrics for Learning Object Metadata},
  journal = {World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006},
  publisher = {AACE},
  year = {2006},
  pages = {1004-1011},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2006.pdf}
}
Ochoa, X. and Duval, E. Towards Automatic Evaluation of Learning Object Metadata Quality 2006 Advances in Conceptual Modeling - Theory and Practice
Vol. 4231, pp. 372-381 
inbook URL 
Abstract: Thanks to recent developments on automatic generation of metadata
and interoperability between repositories, the production, management
and consumption of learning object metadata is vastly surpassing
the human capacity to review or process these metadata. However,
we need to make sure that the presence of some low quality metadata
does not compromise the performance of services that rely on that
information. Consequently, there is a need for automatic assessment
of the quality of metadata, so that tools or users can be alerted
about low quality instances. In this paper, we present several quality
metrics for learning object metadata. We applied these metrics to
a sample of records from a real repository and compared the results
with the quality assessment given to the same records by a group
of human reviewers. Through correlation and regression analysis,
we found that one of the metrics, the text information content, could
be used as a predictor of the human evaluation. While this metric
is not a definitive measurement of the ?real? quality of the metadata
record, we present several ways in which it can be used. We also
propose new research in other quality dimensions of the learning
object metadata.
BibTeX:
@inbook{ochoa_towards_2006,
  author = {Xavier Ochoa and Erik Duval},
  title = {Towards Automatic Evaluation of Learning Object Metadata Quality},
  journal = {Advances in Conceptual Modeling - Theory and Practice},
  publisher = {Springer},
  year = {2006},
  volume = {4231},
  pages = {372-381},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ER2006.pdf}
}
Ochoa, X. and Duval, E. Use of contextualized attention metadata for ranking and recommending learning objects 2006 CAMA '06: Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage informationCIKM 2006, pp. 9-16   inproceedings URL 
Abstract: The tools used to search and find Learning Objects in different systems
do not provide a meaningful and scalable way to rank or recommend
learning material. This work propose and detail the use of Contextual
Attention Metadata, gathered from the different tools used in the
lifecycle of the Learning Object, to create ranking and recommending
metrics to improve the user experience. Four types of metrics are
detailed: Link Analysis Ranking, Similarity Recommendation, Personalized
Ranking and Contextual Recommendation. While designed for Learning
Objects, it is shown that these metrics could also be applied to
rank and recommend other types of reusable components like software
libraries.
BibTeX:
@inproceedings{ochoa_use_2006,
  author = {Xavier Ochoa and Erik Duval},
  title = {Use of contextualized attention metadata for ranking and recommending learning objects},
  booktitle = {CIKM 2006},
  journal = {CAMA '06: Proceedings of the 1st international workshop on Contextualized attention metadata: collecting, managing and exploiting of rich usage information},
  publisher = {ACM Press},
  year = {2006},
  pages = {9-16 },
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-CIKM2006.pdf}
}
Ochoa, X., Cardinaels, K., Meire, M. and Duval, E. Frameworks for the Automatic Indexation of Learning Management Systems Content into Learning Object Repositories 2005 World Conference on Educational Multimedia, Hypermedia and Telecommunications 2005, pp. 1407-1414  inproceedings URL 
Abstract: Learning Management Systems generally offer big repositories of learning
material, but the lack of publicly available metadata to describe
the learning objects makes it very difficult to share and reuse these
objects. If metadata could be generated for these objects in order
to index them in Learning Object Repositories (LOR), the gained amount
of resources could solve the sub-critical mass problem of most existing
Learning Object Repositories. This work proposes two frameworks that
could facilitate the implementation of Automatic Indexers for LMS
content. Prototype implementations of Automatic Indexing Systems
following these frameworks for real LMSs (SIDWeb and Toledo-Blackboard)
show that the amount of effort needed to construct them was small
compared with the benefits that this kind of systems could have.
While the metadata seems to be good enough at first sight, further
research of the quality of automatically generated metadata is needed.
BibTeX:
@inproceedings{ochoa_frameworks_2005,
  author = {Xavier Ochoa and Kris Cardinaels and Michael Meire and Erik Duval},
  title = {Frameworks for the Automatic Indexation of Learning Management Systems Content into Learning Object Repositories},
  journal = {World Conference on Educational Multimedia, Hypermedia and Telecommunications 2005},
  publisher = {AACE},
  year = {2005},
  pages = {1407-1414},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-EDMedia2005.pdf}
}
Ochoa, X. Learning object repositories are useful, but are they usable? 2005 AC 2005, Proceedings of the IADIS International ConferenceIADIS AC, pp. 138-144  inproceedings URL 
Abstract: Reusable Learning Objects (RLO) Technology seems to be the solution
to have good quality e-learning in a economic viable way, nonetheless
they are not widespread used by faculty around the world, limiting
its usefulness. One of the reasons for the reluctance to use these
technologies seems to be the design of the tools used to manipulate
the RLO through all its lifecycle. This work analyzes the tools to
index, search and assemble Reusable Learning Objects with a usability
perspective. The effectiveness, efficiency and user-satisfaction
of each group of tools are evaluated. As general results this analysis
found that current implementation of tools are in an immature or,
even, nonexistence stage. Beside the analysis results, some recommendations
to emulate other tools in order to improve their acceptance among
teachers are made.
BibTeX:
@inproceedings{ochoa_learning_2005,
  author = {Xavier Ochoa},
  title = {Learning object repositories are useful, but are they usable?},
  booktitle = {IADIS AC},
  journal = {AC 2005, Proceedings of the IADIS International Conference},
  publisher = {IADIS},
  year = {2005},
  pages = {138-144},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-IADIS2005.pdf}
}
Ochoa, X. Sistema Experto para la Interpretacion Automatizada de Reflectogramas Utilizando una Estrategia de Generar, Probar y Depurar de Doble Nivel 2004 Tecnologica
Vol. 17, pp. 87-100 
article URL 
Abstract: Las nuevas tecnologías para la transmisión de datos a alta velocidad
sobre los cables de cobre de la red de telefónica (conocidas como
xDSL) fuerzan a las compañías telefónicas a tener un conocimiento
detallado de la configuración de los circuitos de cada suscriptor
para poder ofrecer estos servicios. Al trabajar a altas frecuencias,
este esquema de comunicación se ve gravemente por las características
del medio de transmisión y sus discontinuidades tales como: longitud,
grosor del cable, empates, líneas paralelas, entre otros. Para poder
brindar servicios xDSL, el sector de la telecomunicación necesita
un sistema de medida que tenga acceso automático a los circuitos
y obtenga exactamente las características de los cables que la constituyen.
En este artículo se describe el proceso del análisis, diseño e implementación
de un sistema experto basado en reglas para la interpretación automática
de los reflectogramas en el dominio de tiempo (TDR – Time Domain
Reflectograms). Con estos reflectogramas se puede medir las características
del circuito de cada suscriptor. Dos nuevas estrategias de diseño
se utilizan para poner este sistema experto en funcionamiento: Unidades
de conocimiento, llamadas "Vistas del Mundo", y un algoritmo Generar-Probar-Depurar
de Doble Nivel, una versión modificada del GPD normal. Se corren
una serie de pruebas contra un prototipo de esta implementación para
medir el funcionamiento de las ideas propuestas. Los resultados muestran
que aún con un nivel limitado de conocimiento, el sistema es capaz
de resolver con una alta tasa de exactitud las topologías simples
y tiene una calificación aceptable en casos más complejos.
BibTeX:
@article{ochoa_sistema_2004,
  author = {Xavier Ochoa},
  title = {Sistema Experto para la Interpretacion Automatizada de Reflectogramas Utilizando una Estrategia de Generar, Probar y Depurar de Doble Nivel},
  journal = {Tecnologica},
  year = {2004},
  volume = {17},
  pages = {87-100},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-ESPOLCiencia2004.pdf}
}
Sanchez, J. and Ochoa, X. Pantalla de Visualizacion en la ESPOL 2004 Tecnologica
Vol. 17(1), pp. 72-76 
article  
BibTeX:
@article{sanchez_pantalla_2004,
  author = {Jorge Sanchez and Xavier Ochoa},
  title = {Pantalla de Visualizacion en la ESPOL},
  journal = {Tecnologica},
  year = {2004},
  volume = {17},
  number = {1},
  pages = {72-76}
}
Sonnenholzner, S., Bayot, B., Apolo, I., Vera, T., Ochoa, X., Cisneros, Z., Biesen, L.V., Cornejo, M. and Calderon, J. Ecuador Develops GIS-ASSISTED Alert System For Shrimp Farming 2004 Global Aquaculture Advocate
Vol. 7(3) 
article  
BibTeX:
@article{sonnenholzner_ecuador_2004,
  author = {S. Sonnenholzner and B. Bayot and I. Apolo and T. Vera and X. Ochoa and Z. Cisneros and L. Van Biesen and M.P. Cornejo and J. Calderon},
  title = {Ecuador Develops GIS-ASSISTED Alert System For Shrimp Farming},
  journal = {Global Aquaculture Advocate},
  year = {2004},
  volume = {7},
  number = {3}
}
Vermeiren, T., Bostoen, T., Boets, P., Ochoa, X. and Louage, F. Subscriber Loop Classification by means of Time Domain Reflectometry 2003
Vol. 3Proceedings of IEEE International Conference on Communications, 2003. ICC '03., pp. 1998- 2002 
inproceedings URL 
Abstract: Qualifying a subscriber loop for xDSL transmission can be done in
many ways. Amongst all ways, methods that don't require an expensive
truck-roll to the customer are preferred. In this paper we provide
a method for an intelligent automated interpretation of reflectometric
1-port measurements at the central office. First, we focus on how
reflectograms can be characterised. Next, we build up intelligence
in the system to deal with the uncertainty on the characteristics
and to infer the topology by means of a belief network. Eventually,
we combine in an artificial intelligent way, by means of a rule-based
expert system all available knowledge and derive the basic loop properties
i.e. the topology and the delays of the individual line sections.
BibTeX:
@inproceedings{vermeiren_subscriber_2003,
  author = {Vermeiren, T. and Bostoen, T. and Boets, P. and Ochoa, X. and Louage, F.},
  title = {Subscriber Loop Classification by means of Time Domain Reflectometry},
  booktitle = {Proceedings of IEEE International Conference on Communications, 2003. ICC '03.},
  year = {2003},
  volume = {3},
  pages = {1998- 2002},
  url = {http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/8564/27115/01203949.pdf?arnumber=1203949}
}
Ochoa, X. Expert System for Automated Time Domain Reflectometry Interpretation using a Double Level Generate-Test-Debug approach 2002 School: Vrije Universiteit Brussels (VUB)  mastersthesis  
Abstract: Qualifying a subscriber loop for xDSL transmission can be done in
many ways. Amongst all ways, methods that don't require an expensive
truck-roll to the customer are preferred. In this paper we provide
a method for an intelligent automated interpretation of reflectometric
1-port measurements at the central office. First, we focus on how
reflectograms can be characterised. Next, we build up intelligence
in the system to deal with the uncertainty on the characteristics
and to infer the topology by means of a belief network. Eventually,
we combine in an artificial intelligent way, by means of a rule-based
expert system all available knowledge and derive the basic loop properties
i.e. the topology and the delays of the individual line sections.
BibTeX:
@mastersthesis{ochoa_expert_2002,
  author = {Xavier Ochoa},
  title = {Expert System for Automated Time Domain Reflectometry Interpretation using a Double Level Generate-Test-Debug approach},
  school = {Vrije Universiteit Brussels (VUB)},
  year = {2002}
}
Ochoa, X. and Peláez, E. Analisis y Diseno de una Solucion Tecnica para el Uso de Multimedia y Videoconferencia para el Desarrollo de la Educacion a Distancia en la ESPOL 2000 Tecnológica
Vol. 14(1), pp. 21-30 
article URL 
BibTeX:
@article{ochoa_analisis_2000,
  author = {Xavier Ochoa and Enrique Peláez},
  title = {Analisis y Diseno de una Solucion Tecnica para el Uso de Multimedia y Videoconferencia para el Desarrollo de la Educacion a Distancia en la ESPOL},
  journal = {Tecnológica},
  year = {2000},
  volume = {14},
  number = {1},
  pages = {21-30},
  url = {http://ariadne.cti.espol.edu.ec/xavier/papers/Ochoa-RTE2000.pdf}
}