Índice / Index


Logros y retos en analítica del aprendizaje en España: La perspectiva de SNOLA / Achievements and Challenges in Learning Analytics in Spain: SNOLA’s perspective

Martínez Monés, A., Dimitriadis Damoulis, Y., Acquila-Natale, E., Álvarez, A., Caeiro Rodríguez, M., Cobos Pérez, R., Conde González, M., García Peñalvo, F., Hernández Leo, D., Menchaca Sierra, I., Muñoz-Merino, P., Ros, S., & Sancho Vinuesa, T. (2020). Logros y retos en analítica del aprendizaje en España: La perspectiva de SNOLA. RIED. Revista Iberoamericana de Educación a Distancia, 23(2), 187-212. doi:https://doi.org/10.5944/ried.23.2.26541

amartine@eMadrid_SNOLA_2020

Artículos de SNOLA / SNOLA’s Papers

  • Caeiro-Rodríguez, M., Conde, M. Á., Guenaga, M., Hernández-García, Á., Larrañaga, M., Martínez-Monés, A., Muñoz-Merino, P. J., Pastor-Vargas, R., Perallos-Ruiz, A., & Rodríguez-Conde, M. J. (2016, November). SNOLA: Spanish network of learning analytics. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 313-317). ACM. doi>10.1145/3012430.3012534
  • Agudo-Peregrina, Ángel F., Caeiro-Rodríguez, M., Conde, Miguel Á., Cruz-Benito, J., Delgado Kloos, C., Menchaca, I., Larrañaga, M., Martínez-Monés, A., Robles Gómez, A. (2017, Octubre). SNOLA, creando una Red sobre Analíticas de Aprendizaje en España. In Actas del IV Congreso Internacional sobre Aprendizaje, Innovación y Competitividad (CINAIC 2017) (pp. 313-317). Universidad de Zaragoza. doi>10.26754/CINAIC.2017.000001_147

Presentaciones / Presentations

  • Ángel F. Agudo Peregrina, Manuel Caeiro-Rodríguez, Miguel Á. Conde, Juan Cruz-Benito, Carlos Delgado Kloos, Iratxe Menchaca, Mikel Larrañaga, Alejandra Martínez-Monés, Antonio Robles Gómez. (2017, October). SNOLA: creando una Red sobre Analíticas de Aprendizaje en España. Zenodo. http://doi.org/10.5281/zenodo.1002157
  • Spanish Network of Learning Analytics (SNOLA).  Workshop on Applied and Practical Learning Analytics (WAPLA). Lyon, France. 2016, September. Available at http://educate.gast.it.uc3m.es/wp-content/uploads/2016/05/SNOLA.pdf

SNOLA Members’ Papers

2021

  • Pazmiño-Maji, R., Conde, M.Á. & García-Peñalvo, F. Learning analytics in Ecuador: a systematic review supported by statistical implicative analysis. Univ Access Inf Soc (2021). https://doi.org/10.1007/s10209-020-00773-0
  • Kollom, K., Tammets, K., Scheffel, M., Tsai, Y. S., Jivet, I., Muñoz-Merino, P. J., Moreno-Marcos, P.M., Whitelock-Wainwright, A., Ruiz Calleja, A., Gasevic, D., Delgado Kloos, C., Drachsler, H. & Ley, T. (2021). A four-country cross-case analysis of academic staff expectations about learning analytics in higher education. The Internet and Higher Education, 49, 100788.
  • Alonso-Mencía, M. E., Alario-Hoyos, C., Estévez-Ayres, I., & Delgado Kloos, C. (2021). Analysing self-regulated learning strategies of MOOC learners through self-reported data. Australasian Journal of Educational Technology, 56-70.
  • Castillo-Segura, P., Fernández-Panadero, C., Alario-Hoyos, C., Muñoz-Merino, P. J., & Delgado Kloos, C. (2021). Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review. Artificial Intelligence in Medicine, 102007.
  • Amarasinghe, I., Vujovic, M., Hernández-Leo, D., (2021) Towards Estimating Classroom Orchestration Load using Physiological and Self-Perception Measures, CSCL conference, ISLS Annual Meeting. 
  • Amarasinghe, I., Hernández-Leo, D., (2021). Synergies between humans and machines to support the orchestration of CSCL scripts at different scales, CSCL conference, ISLS Annual Meeting. 
  • Karimi-Haghighi, M., Castillo, C., Hernandez-Leo, D., & Oliver, V. M. (2021). Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations. Companion Proceedings 11th International Conference on Learning Analytics & Knowledge,
  • Hakami, E., Hernández-Leo, D. (2021) Investigating the Well-being Impacts of Educational Technologies Supported by Learning Analytics: An application of IEEE P7010 recommended practice to a set of cases, Conference Learning Analytics and Knowledge, ACM Proceedings.

2020

  • A.M. Guerrero-Higueras, C. Fernández-Llamas, L. Sánchez-González; A. Gutierrez-Fernández, G. Esteban-Costales & M. Á. Conde-González. 2020. “Academic Success Assessment through Version Control Systems. Applied Sciences. 10(4), 1492. https://doi.org/10.3390/app10041492  (JCR-SCI ENGINEERING MULTIDISCIPLINARY – Q2 (32 – 91) – IF 2.474)
  • Á. Conde, F. J. Rodríguez-Sedano, F.J., Rodríguez-Lera, A. Gutierrez-Fernández & A. M. Guerrero-Higueras. “Assessing the individual acquisition of teamwork competence by exploring students’ instant messaging tools use: the WhatsApp case study”. Univ Access Inf Soc (2020). https://doi.org/10.1007/s10209-020-00772-1
  • Figueroa-Cañas, J; Sancho-Vinuesa, T. (2020). Early Prediction of Dropout and Final Exam Performance in an Online Statistics Course. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje. Vol. 15, no. 2, pp. 86-94, May 2020, doi: 10.1109/RITA.2020.2987727.
  • Martínez‐Carrascal, J.A.; Márquez Cebrián, D.; Sancho‐Vinuesa, T.; Valderrama, E. (2020). Impact of early activity on flipped classroom performance prediction: A case study for a first‐year Engineering course. Computer Applications in Engineering Education. DOI: 10.1002/cae.22229.
  • Marco-Galindo, M-J.; Minguillón, J. and Sancho-Vinuesa, T. (2020) Análisis de la progresión de los estudiantes en una asignatura introductoria a la programación mediante redes bayesianas. XXVI Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2020). Actas de las Jenui, vol. 5., 69-76.
  • Martinez-Carrascal, J.A.; Valderrama, E. and Sancho-Vinuesa, T. (2020) Combining clustering and sequential pattern mining to detect behavioral differences in log data: conceptualization and case study. Learning Analytics Summer Institute Spain 2020: Learning Analytics. Time for Adoption?, June 15-16.
  • Cobos R, Ruiz‐Garcia JC. Improving learner engagement in MOOCs using a learning intervention system: A research study in engineering education. Comput Appl Eng Educ. 2020; 1–17. https://doi.org/10.1002/cae.22316.
  • Álvarez-Arana, A., Villamañe-Gironés, M., & Larrañaga-Olagaray, M. (2020). Improving Assessment Using Visual Learning Analytics. Education in the Knowledge Society (EKS), 21(0), 13. https://doi.org/10.14201/eks.21554
  • Arruarte J., Larrañaga M., Arruarte A., Elorriaga J.A. (2020).Measuring the Quality of Test-based Exercises Based on the Performance of Students. International Journal of Artificial Intelligence in Education, Springer, ISSN 1560-4306 / 1560-4292, 2020
  • Villamañe, Mikel, Alvarez, A., & Larranaga, M. (2020). CASA, An Architecture to Support Complex Assessment Scenarios. IEEE Access, 8, 14195-14206. https://doi.org/10.1109/ACCESS.2020.2966595
  • Moreno-Marcos, P. M., Munoz-Merino, P. J., Maldonado-Mahauad, J., Perez-Sanagustin, M., Alario-Hoyos, C., & Kloos, C. D. (2020). Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs. Computers & Education, 145, 103728.
  • Tsai, Y. S., Rates, D., Moreno-Marcos, P. M., Munoz-Merino, P. J., Jivet, I., Scheffel, M., Drachsler, H., Delgado Kloos, C. & Gašević, D. (2020). Learning analytics in European higher education—Trends and barriers. Computers & Education, 155, 103933. 
  • Hilliger, I., Ortiz‐Rojas, M., Pesántez‐Cabrera, P., Scheihing, E., Tsai, Y. S., Muñoz‐Merino, P. J., … & Pérez‐Sanagustín, M. (2020). Towards learning analytics adoption: A mixed methods study of data‐related practices and policies in Latin American universities. British Journal of Educational Technology, 51(4), 915-937.
  • Gallego-Romero, J. M., Alario-Hoyos, C., Estévez-Ayres, I., & Delgado Kloos, C. (2020). Analyzing learners’ engagement and behavior in MOOCs on programming with the Codeboard IDE. Educational Technology Research and Development, 68(5), 2505-2528.
  • Whitelock‐Wainwright, A., Gašević, D., Tsai, Y. S., Drachsler, H., Scheffel, M., Muñoz‐Merino, P. J., Tammets, K. & Delgado Kloos, C. (2020). Assessing the validity of a learning analytics expectation instrument: a multinational study. Journal of Computer Assisted Learning, 36(2), 209-240.
  • Hilliger, I., Ortiz-Rojas, M., Pesántez-Cabrera, P., Scheihing, E., Tsai, Y. S., Muñoz-Merino, P. J., … & Pérez-Sanagustín, M. (2020). Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach. The Internet and Higher Education, 45, 100726.
  • Moreno-Marcos, P. M., Muñoz-Merino, P. J., Alario-Hoyos, C., & Delgado Kloos, C. (2020). Re-defining, analyzing and predicting persistence using student events in online learning. Applied Sciences, 10(5), 1722.
  • Moreno-Marcos, P. M., Pong, T. C., Munoz-Merino, P. J., & Delgado Kloos, C. (2020). Analysis of the factors influencing learners’ performance prediction with learning analytics. IEEE Access, 8, 5264-5282.
  • Moreno-Marcos, P. M., de la Torre, D. M., Castro, G. G., Muñoz-Merino, P. J., & Kloos, C. D. (2020, June). Should We Consider Efficiency and Constancy for Adaptation in Intelligent Tutoring Systems?. In International Conference on Intelligent Tutoring Systems (pp. 237-247). Springer, Cham.
  • Uguina, L., Estévez-Ayres, I., Arias-Fisteus, J., & Delgado Kloos, C. (2020). Application of learning analytics to study the accuracy of self-reported working patterns in self-regulated learning questionnaires. IEEE Educon conference
  • Delgado Kloos, C., Alario-Hoyos, C., Muñoz-Merino, P. J., Ibáñez, M. B., Fernández-Panadero, C., & Estévez-Ayres, I. (2020, April). Making Educational Technology Invisible. In 2020 IEEE Global Engineering Education Conference (EDUCON) (pp. 1922-1927). IEEE.
  • Heredia-Jimenez, V., Jimenez, A., Ortiz-Rojas, M., Marın, J. I., Moreno-Marcos, P. M., Munoz-Merino, P. J., & Delgado Kloos, C. (2020). An early warning dropout model in higher education degree programs: A case study in Ecuador.
  • Albo, L., & Hernandez-Leo, D. (early access). edCrumble, a data-enriched visual authoring design tool for blended learning. IEEE Transactions on Learning Technologies, 10.1109/TLT.2020.3040475.
  • Amarasinghe, I., Hernández-Leo, D., Michos, K., Vujovic, M. (early access) An Actionable Orchestration Dashboard to Enhance Collaboration in the Classroom, IEEE Transactions on Learning Technologies. DOI: 10.1109/TLT.2020.3028597
  • Vujovic M., Hernández-Leo D., Tassani S. & Spikol D., (2020). Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study. British Journal of Educational Technology, 51(5), 1597-1614. 
  • Beardsley M., Martinez-Moreno J., Vujovic M., Santos P., & Hernández-Leo D, (2020). Enhancing consent forms to support participant decision making in multimodal learning data research. British Journal of Educational Technology, 51(5), 1631-1652.
  • Michos, K., Hernández-Leo (2020) CIDA: A collective inquiry framework to study and support teachers as designers in technological environments, Computers & Education, 143(January 2020), 103679.
  • Lobo, R., Ortega-Arranz, A., Hernandez-Leo, D. (2020). Towards rewards-based gamification in Collaborative Learning Flow Patterns based on learning analytics. In: Proceedings of the Learning Analytics Summer Institute Spain 2020: Learning Analytics: Time for adoption?, Valladolid, June 15-16 2020, CEUR Vol-2671 81-96. http://ceur-ws.org/Vol-2671/paper09.pdf
  • Hakami, E., Hernandez-Leo, D. (2020). How are Learning Analytics Considering the Societal Values of Fairness, Accountability, Transparency and Human Well-being? – A Literature Review. In: Proceedings of the Learning Analytics Summer Institute Spain 2020: Learning Analytics: Time for adoption?, Valladolid, June 15-16 2020, , CEUR Vol-2671 121-141, http://ceur-ws.org/Vol-2671/paper12.pdf  
  • Albó, L., Beardsley, M., Amarasinghe, I., Hernández-Leo, D., (2020) Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ? In 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), pp. 132-134. IEEE. 
  • Michos, K., Lang, C., Hernández-Leo, D., Price-Dennis, D., (2020) Involving teachers in learning analytics design: lessons learned from two case studies. In: LAK’20: proceedings of the Tenth International Conference on Learning Analytics & Knowledge; 2020 Mar 23-27; Frankfurt, Germany. New York: ACM, pp. 94-99.
  • Amarasinghe, I., Vujovic, M. Hernández-Leo, D., (2020) Towards Teacher Orchestration Load-aware Teacher-facing Dashboards, CrossMMLA Workshop, Tenth International Conference on Learning Analytics & Knowledge, CEUR, http://ceur-ws.org/Vol-2610/paper2.pdf 

2019

  • Á. Guerrero-Higueras, N. DeCastro-García, F. J. Rodriguez-Lera, V. Matellán,  & M. Á. Conde. “Predicting academic success through students’ interaction with Version Control Systems”, Open Computer Science, 9(1), 243-251. 2019. doi: https://doi.org/10.1515/comp-2019-0012
  • Á. Conde, F.J. Rodríguez-Sedano, F. J. Rodríguez-Lera, A. Gutiérrez-Fernández & A. M. Guerrero-Higueras. “Analyzing Students’ WhatsApp Messages to Evaluate the Individual Acquisition of Teamwork Competence”. In Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration. HCII 2019. Zaphiris P., Ioannou A. (eds). Lecture Notes in Computer Science, vol 11591. Springer, Cham. https://doi.org/10.1007/978-3-030-21817-1_3
  • Á. M. Guerrero-Higueras, L. Sánchez-González, C. Fernández-Llamas, M. Á. Conde, F. J. Rodríguez Lera, F. J. Rodríguez-Sedano, G. Esteban-Costales & V. Matellán “Prediction of academic success through interaction with version control systems”. In M. Á. Conde et al (Eds), Proceedings TEEM’19. Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (León, Spain, October 16th-18th, 2019) (pp. 284-289). New York, NY, USA: ACM. DOI: https:// doi.org/10.1145/3362789.3362875
  • Á. Conde & A. Hernández-García. “Learning Analytics: The End of the Beginning” In M. Á. Conde et al (Eds), Proceedings TEEM’19. Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality (León, Spain, October 16th-18th, 2019) (pp. 248-252). New York, NY, USA: ACM. DOI: https://doi.org/10.1145/3362789.3362943
  • Alaman, X., Carro, R., Cobos, R., Gómez, J., Jurado, F., Molins, P. Montoro, G., Moreno, J., Ortigosa, A., Rodriguez, P., Torrado, J. C. GHIA: Modelado de Estudiantes, Analíticas del Aprendizaje, Atención a la Diversidad y e-Learning. IE Comunicaciones. Revista Iberoamericana de Informática Educativa, Número 30, Julio-Diciembre 2019, 1-12.
  • Cobos, R., Jurado, F., & Blázquez-Herranz, A. (2019). A Content Analysis System that supports Sentiment Analysis for Subjectivity and Polarity detection in Online Courses. In IEEE Revista Iberoamericana de Tecnologías del Aprendizaje. 14(4). November 2019: IEEE. pp. 177-187. ISSN: 2374-0132. https://doi.org/10.1109/rita.2019.2952298 
  • Echeverría, L., Cobos, R., & Morales, M. (2019). Improving the students Computational Thinking skills with collaborative learning techniques. IEEE Revista Iberoamericana de Tecnologías Del Aprendizaje. 14(4). November 2019: IEEE. pp. 196-206. https://doi.org/10.1109/RITA.2019.2952299
  • Cobos, R., Jurado, F. Villen, A. Moods in MOOCs: Analysing Emotions in the Content of Online Courses with edX-CAS. 2019 IEEE Global Engineering Education Conference (EDUCON 2019), Dubai, UAE. 
  • Echeverria, L., Cobos, R., Morales, M., Moreno, F., Negrete, V. Promoting Computational Thinking skills in primary school students to improve learning of geometry. 2019 IEEE Global Engineering Education Conference (EDUCON 2019), Dubai, UAE. BEST STUDENT PAPER AWARD.
  • Rubio‐Fernández, A., Muñoz‐Merino, P. J., & Delgado Kloos, C. (2019). A learning analytics tool for the support of the flipped classroom. Computer Applications in Engineering Education, 27(5), 1168-1185.
  • Moreno-Marcos, P. M., De Laet, T., Muñoz-Merino, P. J., Van Soom, C., Broos, T., Verbert, K., & Delgado Kloos, C. (2019). Generalizing predictive models of admission test success based on online interactions. Sustainability, 11(18), 4940.
  • Delgado Kloos, C., Alario-Hoyos, C., Muñoz-Merino, P. J., Ibáñez, M. B., Estévez-Ayres, I., & Crespo-García, R. M. (2019, April). What can you do with educational technology that is getting more human?. In 2019 IEEE Global Engineering Education Conference (EDUCON) (pp. 1480-1487). IEEE.
  • Amarasinghe, I., Hernández-Leo, D., Jonsson, A. (2019) Data-Informed Design Parameters for Adaptive Collaborative Scripting in Across-Spaces Learning Situations, User Modeling and User-Adapted Interaction, 29(4), 869–892.
  • Beardsley, M., Santos, P., Hernández-Leo, D., Michos, K. (2019). Ethics in educational technology research: informing participants in data sharing risks. British Journal of Educational Technology, 50(3), 1019-1034, 10.1111/bjet.12781 
  • Hernández-Leo, D., Martinez-Maldonado, R., Pardo, A., Muñoz-Cristóbal, J. A., & Rodríguez-Triana, M. J. (2019) Analytics for learning design: A layered framework and tools, British Journal of Educational Technology, 51(1), 139-152, https://doi.org/10.1111/bjet.12645
  • Albó, L., Barria-Pineda, J., Brusilovsky P., Hernández-Leo, D., (2019) Concept-level design analytics for blended courses, European Conference on Technology-Enhanced Learning, Delft, The Netherlands, Springer LNCS 11277, pp. 541-554. 
  • Amarasinghe, I., and Hernández-Leo, D., (2019) Adaptive Orchestration of Scripted Collaborative Learning in MOOCs, European Conference on Technology-Enhanced Learning, Delft, The Netherlands, Springer LNCS 11277, pp. 591-594. 
  • Vujovic, M., Tassani, S., Hernández-Leo, D., (2019) Motion capture as an instrument in multimodal collaborative learning analytics, European Conference on Technology-Enhanced Learning, Delft, The Netherlands, Springer LNCS 11277, pp. 604-608. http://hdl.handle.net/10230/44553.
  • Vujovic, M., Hernández-Leo, D. (2019). Shall we learn together in loud spaces? Towards understanding the effects of sound in collaborative learning environments, International Conference on Computer Supported Collaborative Learning, Lyon, France, pp. 891-892.
  • Delgado-Kloos, C., Dimitriadis, Y.,  Hernández-Leo, D.,  Muñoz-Merino, P.J.,  Bote-Lorenzo, M.L.,  Carrió, M.,  Alario-Hoyos, C.,  Gómez-Sánchez, E.,  Santos, P. (2019) SmartLET: Learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments Proceedings of the 6th edition of the Technological Ecosystems for Enhancing Multiculturality (TEEM) conference, 648-653, Salamanca, Spain, October 2018.

2018

  • M. Á. Conde-González, R. Colomo-Palacios, F.J. García-Peñalvo, X. Larrueca “Teamwork assessment in the educational web of data: A learning analytics approach towards ISO 10018”. Telematics and Informatics, 35 (3), pp 551-563, 2018. ISSN: 0736-5853. doi:10.1016/j.tele.2017.02.001. (JCR SSCI – INFORMATION SCIENCE & LIBRARY SCIENCE – Q1 (11 de 89) – IF 3.714).
  • M. Á. Conde, A. Hernández-García, “Decision making in Engineering Education using Learning Analytics”, International Journal of Engineering Education, 34(3), pp. 846-850. 2018. ISSN: 0949-149X/91. Tempus Publications. (JCR SCI – ENGINEERING, MULTIDISCIPLINARY – Q4 (73 de 86); EDUCATION, SCIENTIFIC DISCIPLINES – Q4 (37 de 41) – IF 0.575). https://www.ijee.ie/contents/Contents34-3.pdf
  • M.L. Sein-Echaluce, Á. Fidalgo-Blanco, J. Esteban-Escaño, F. J. García-Peñalvo, Miguel Á. Conde, “Using learning analytics to detect authentic leadership characteristics in engineering students”, International Journal of Engineering Education, 34(3), pp. 851-864. 2018. ISSN: 0949-149X/91. Tempus Publications. (JCR SCI – ENGINEERING, MULTIDISCIPLINARY – Q4 (79 de 86); EDUCATION, SCIENTIFIC DISCIPLINES – Q4 (38 de 41) – IF 0.611). https://repositorio.grial.eu/bitstream/grial/1582/1/IJEE_preprint.pdf
  • Á. Hernández-García, E. Acquila-Natale, J. Chaparro-Peláez, M. Á. Conde, “Predicting teamwork group assessment using log data-based learning analytics”, Computers in Human Behavior, https://doi.org/10.1016/j.chb.2018.07.016, 89, pp 373-384, 2018. (JCR SSCI – PSYCHOLOGY, MULTIDISCIPLINARY – Q1 (11 de 137); PSYCHOLOGY, EXPERIMENTAL – Q1 (4 de 88) – IF 4.306).
  • J. Rodríguez-Sedano, M. Á. Conde, C. Fernández-Llamas, ” Measuring Teamwork Competence Development in a Multidisciplinary Project Based Learning Environment”. In Learning and Collaboration Technologies. Design, Development and Technological Innovation. 5th International Conference, LCT 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I, P. Zaphiris y A. Ioannou, Eds. Lecture Notes in Computer Science, no. 10924, pp. 466-479, Cham, Switzerland: Springer, 2018. DOI: https://doi.org/10.1007/978-3-319-91743-6_34 
  • A.M. Guerrero-Higueras, N. DeCastro-García, V. Matellán, Miguel Á. Conde, “Predictive models of academic success: a case study with version control systems”. In F. J. García-Peñalvo (Eds), Proceedings TEEM’18. Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality (Salamanca, Spain, October 24th-26th, 2018) (pp. 306-312). New York, NY, USA: ACM. DOI: https://doi.org/10.1145/3284179.3284235
  • Á. Hernández-García, Miguel Á. Conde, “Learning Analytics: The good, the bad (and the ugly)”. In F. J. García-Peñalvo (Eds), Proceedings TEEM’18. Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality (Salamanca, Spain, October 24th-26th, 2018) (pp. 290-293). New York, NY, USA: ACM. DOI: https://doi.org/10.1145/3284179.3284229
  • Figueroa-Cañas, J; Sancho-Vinuesa, T. (2018) Investigating the relationship between optional quizzes and final exam performance in a fully asynchronous online calculus module. Interactive Learning Environments. DOI: 10.1080/10494820.2018.1559864
  • Gaona, J., Reguant, M., Valdivia, I., Vásquez, M., & Sancho-Vinuesa, T. (2018). Feedback by automatic assessment systems used in mathematics homework in the engineering field. Computer Applications in Engineering Education, 26(4), 994–1007. http://doi.org/10.1002/cae.21950
  • Sancho-Vinuesa, T.; Masià, R.; Fuertes-Alpiste, M.; Molas-Castells, N. (2018). Exploring the Effectiveness of Continuous Activity with Automatic Feedback in Online Calculus. Computer Applications in Engineering Education. 26(1), 62-74. DOI: 10.1002/cae.21861
  • León-Urrutia M., Cobos R., Dickens K. MOOCs and their Influence on Higher Education Institutions: Perspectives from the Insiders. Journal of New Approaches in Educational Research. 7(1), pp. 40-45, 2018. ISSN: 2254-7339.
  • Cobos, R. Olmos, L. A Learning Analytic Tool for Predictive Modeling of Dropout and Certificate Acquisition on MOOCs for Professional Learning. 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2018), Bangkok, Thailand.
  • Cobos, R., Jurado, F. An exploratory analysis on MOOCs retention and certification in two courses of different knowledge areas. 2018 IEEE Global Engineering Education Conference (EDUCON 2018), Tenerife, Spain. 
  • Villamañe, Mikel, Álvarez, A., & Larrañaga, M. (2018). EvalVis: Enriching formative assessment with visual learning analytics. International Journal of Engineering Education, 34, 1001-1012.
  • Ruiz, S., Urretavizcaya, M., Rodríguez, C., & Fernández-Castro, I. (2018). Predicting students’ outcomes from emotional response in the classroom and attendance. Interactive Learning Environments, 1–23. https://doi.org/10.1080/10494820.2018.1528282
  • Villamañe, M., Alvarez, A., & Larrañaga, M. (2018). Supporting competence-based learning with visual learning analytics and recommendations. 2018 IEEE Global Engineering Education Conference (EDUCON), 1572-1575. https://doi.org/10.1109/EDUCON.2018.8363421
  • Villamañe, Mikel, Álvarez, A., Larrañaga, M., Caballero, J., & Hernández-Rivas, O. (2018). Using Visual Learning Analytics to Support Competence-based Learning. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality  – TEEM’18, 333-338. https://doi.org/10.1145/3284179.3284233
  • Villamañe, Mikel, Álvarez, A., Larrañaga, M., Hernández-Rivas, O., & Caballero, J. (2018). Using Visualizations to Improve Assessment in Blended Learning Environments. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality  – TEEM’18, 165-169. https://doi.org/10.1145/3284179.3284209
  • Ruipérez‐Valiente, J. A., Muñoz‐Merino, P. J., & Delgado Kloos, C. (2018). Improving the prediction of learning outcomes in educational platforms including higher level interaction indicators. Expert Systems, 35(6), e12298.
  • Moreno-Marcos, P. M., Alario-Hoyos, C., Muñoz-Merino, P. J., Estevez-Ayres, I., & Delgado Kloos, C. (2018). A learning analytics methodology for understanding social interactions in MOOCs. IEEE Transactions on Learning Technologies, 12(4), 442-455.
  • Moreno-Marcos, P. M., Muñoz-Merino, P. J., Alario-Hoyos, C., Estévez-Ayres, I., & Delgado Kloos, C. (2018). Analysing the predictive power for anticipating assignment grades in a massive open online course. Behaviour & Information Technology, 37(10-11), 1021-1036.
  • Moreno-Marcos, P. M., Alario-Hoyos, C., Muñoz-Merino, P. J., & Kloos, C. D. (2018). Prediction in MOOCs: A review and future research directions. IEEE Transactions on Learning Technologies, 12(3), 384-401.
  • Muñoz-Merino, P. J., Novillo, R. G., & Delgado Kloos, C. (2018). Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory. Applied Soft Computing, 68, 110-124.
  • Moreno-Marcos, P. M., Alario-Hoyos, C., Muñoz-Merino, P. J., Estévez-Ayres, I., & Delgado Kloos, C. (2018, April). Sentiment analysis in MOOCs: A case study. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp. 1489-1496). IEEE.
  • Rubio Fernández, A., Muñoz-Merino, P. J., & Delgado Kloos, C. (2018, April). Scenarios for the application of learning analytics and the flipped classroom. In 2018 IEEE Global Engineering Education Conference (EDUCON) (pp. 1619-1628). IEEE.
  • Collado-Gómez, C., Alario-Hoyos, C., Santín-Cristóbal, D., Cruz-Argudo, F., & Delgado Kloos, C. (2018). Tablero Learning Analytics para trabajar la metodología Flipped Classroom mediante la reutilización de MOOCs. In International Conference MOOC-Maker 2018 (pp. 15-24).
  • Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology, 49(6), 1077-1095, https://doi.org/10.1111/bjet.12696 
  • Amarasinghe, I.  Hernández-Leo, D. Jonsson, A. Manatunga, K. (2018) Sustaining Continuous Collaborative Learning Flows in MOOCs: Orchestration Agent Approach, J.UCS Journal of Universal Computer Science, 24(8), 1034-1051.
  • Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85 (Aug. 2018), 255-270 https://doi.org/10.1016/j.chb.2018.04.008
  • Beardsley, M., Hernández-Leo, D., Ramirez, R., (2018) Seeking reproducibility: Assessing a multimodal study of the testing effect, Journal of Computer Assisted Learning, https://doi.org/10.1111/jcal.12265
  • Albo L, Hernández-Leo D. (2018) edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology-Enhanced Learning (EC-TEL 2018); 2018 Sep 3-6; Leeds, UK. Springer LNCS, pp. 605-609. 

2017

  • Villamañe, Mikel, Larrañaga, M., & Álvarez, A. (2017). Rating monitoring as a means to mitigate rater effects and controversial evaluations. Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality  – TEEM 2017, 1-8. https://doi.org/10.1145/3144826.3145389
  • Villamañe, Mikel, Álvarez, A., & Larrañaga, M. (2017). Supporting complex assessment processes. Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality  – TEEM 2017, 1-6. https://doi.org/10.1145/3144826.3145368
  • Á. Conde, F. J. García-Peñalvo, Á. Fidalgo-Blanco & M. L. Sein-Echaluce, “Can We Apply Learning Analytics Tools in Challenge Based Learning Contexts?” In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies. Technology in Education. 4th International onference, LCT 2017. Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9–14, 2017. Proceedings, Part II (pp. 242–256). Switzerland: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-319-58515-4_19 
  • M. Guerrero-Higueras, M. Á. Conde & V. Matellán. Uso de sistemas de control de versiones para aplicar estrategias de evaluación por pares en contextos tecnológicos. Actas del IV Congreso Internacional sobre Aprendizaje, Innovación y Competitividad (CINAIC 2017). Servicio de Publicaciones Universidad de Zaragoza. DOI: https://doi.org/10.26754/CINAIC.2017.000001_122 
  • Á. Conde, F. J. García-Peñalvo, A. Fidalgo-Blanco, M. L. Sein-Echaluce, “Study of the flexibility of a Learning Analytics tool to evaluate teamwork competence acquisition in different contexts”. In M. Caeiro-Rodríguez, Á. Hernández-García, P. J. Muñoz-Merino, & S. Ros (Eds.), LASI-SPAIN 2017. Learning Analytics Summer Institute Spain 2017. Proceedings of the Learning Analytics Summer Institute Spain 2017: Advances in Learning Analytics (Madrid, Spain, July 4-5, 2017) (pp. 63-77). Aachen, Germany: CEUR-WS.org.
  • Á. Conde, Ángel Hernández-García, “Learning Analytics Expanding the frontier”. In J. M. Dodero, M. S. Ibarra Sáiz, & I. Ruiz Rube (Eds.), Fifth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’17) (Cádiz, Spain, October 18-20, 2017). New York, NY, USA: ACM. DOI: https://doi.org/10.1145/3144826.3145355
  • Ros, S., J.C. Lazaro, Robles-Gomez, A., Caminero, A.C., Tobarra, L. and Pastor, R. 2017. Analyzing Content Structure and Moodle Milestone to Classify Student Learning Behavior in a Basic Desktop Tools Course. In Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2017). Cadiz, Spain.
  • Michos, K., Hernández-Leo, D., Jiménez, M., (2017) How educators value data analytics about their MOOCs, CEUR Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017 co-located with the EMOOCs 2017 Conference (Vol-1841), Madrid, Spain, 77-82. 
  • Amarasinghe, I., Hernandez-Leo, D., Jonsson, A., (2017) Towards Data Informed Group Formation Support Across Learning Spaces, Second International Workshop on Learning Analytics Across Physical and Digital Spaces co-located with 7th International Conference on Learning Analytics & Knowledge (LAK 2017). Vancouver, Canada. CEUR proceedings. 
  • Martinez-Maldonado, R., Hernandez-Leo, D., Pardo, A., & Ogata, H. (2017, March). 2nd cross-LAK: learning analytics across physical and digital spaces. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 510-511). ACM. Vancouver, Canada.
  • Sedrakyan, G., Leony, D., Muñoz-Merino, P. J., Kloos, C. D., & Verbert, K. (2017, September). Evaluating student-facing learning dashboards of affective states. In European Conference on Technology Enhanced Learning (pp. 224-237). Springer, Cham.
  • Ruipérez-Valiente, J. A., Cobos, R., Muñoz-Merino, P. J., Andujar, Á., & Delgado Kloos, C. (2017, May). Early prediction and variable importance of certificate accomplishment in a MOOC. In European Conference on Massive Open Online Courses (pp. 263-272). Springer, Cham.
  • Ruipérez-Valiente, J. A., Joksimović, S., Kovanović, V., Gašević, D., Muñoz-Merino, P. J., & Delgado Kloos, C. (2017, April). A data-driven method for the detection of close submitters in online learning environments. In Proceedings of the 26th international conference on world wide web companion (pp. 361-368).
  • Munoz-Merino, P. J., Alario-Hoyos, C., Munoz-Organero, M., Delgado Kloos, C., & Molina, M. F. (2017). The Effect of Different Features for Educational Computer-Based Competition Environments. IEEE Transactions on Learning Technologies, 11(4), 468-477.
  • Muñoz Merino, P. J., Méndez Rodríguez, E. M., Delgado Kloos, C., & Ruiperez Valiente, J. A. (2017). Design, implementation and evaluation of SPOCs at the Universidad Carlos III de Madrid.
  • Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., & Delgado Kloos, C. (2017). Detecting and clustering students by their gamification behavior with badges: A case study in engineering education. International Journal of Engineering Education, 33(2-B), 816-830.
  • Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., Pijeira, D. H. J., Santofimia, R. J., & Kloos, C. D. (2017). Evaluation of a learning analytics application for open edX platform. Computer Science and Information Systems, 14(1), 51-73.
  • Muñoz‐Merino, P. J., Ruipérez‐Valiente, J. A., Delgado Kloos, C., Auger, M. A., Briz, S., de Castro, V., & Santalla, S. N. (2017). Flipping the classroom to improve learning with MOOCs technology. Computer Applications in Engineering Education, 25(1), 15-25.
  • Alexandron, G., Ruipérez-Valiente, J. A., Chen, Z., Muñoz-Merino, P. J., & Pritchard, D. E. (2017). Copying@ Scale: Using harvesting accounts for collecting correct answers in a MOOC. Computers & Education, 108, 96-114.
  • Ruiperez-Valiente, J. A., Muñoz-Merino, P. J., Alexandron, G., & Pritchard, D. E. (2017). Using machine learning to detect ‘multiple-account cheating and analyze the influence of student and problem features. IEEE transactions on learning technologies, 12(1), 112-122.
  • Estévez-Ayres, I., Fisteus, J. A., & Delgado-Kloos, C. (2017). Lostrego: a distributed stream-based infrastructure for the real-time gathering and analysis of heterogeneous educational data. Journal of Network and Computer Applications, 100, 56-68.
  • Hernández-García, Á., & Suárez-Navas, I. (2017). GraphFES: A Web Service and Application for Moodle Message Board Social Graph Extraction. In Ben Kei Daniel (Ed.), Big Data and Learning Analytics in Higher Education: Current Theory and Practice, Part II (pp. 167-194). Springer International Publishing.
  • Hernández-García, Á., & Conde-González, M. Á. (2017). Bridging the Gap between LMS and Social Network Learning Analytics in Online Learning. Journal of Information Technology Research, 9(4), 1–15.
  • J. Garcia-Zubia; J. Cuadros; S. Romero; U. Hernandez-Jayo; P. Orduña; M. Guenaga; L. Gonzalez-Sabate; I. Gustavsson, (2017) “Empirical Analysis of the Use of the VISIR Remote Lab in Teaching Analog Electronics,” in IEEE Transactions on Education , vol.PP, no.99, pp.1-8 doi: 10.1109/TE.2016.2608790
  • Pedro J. Muñoz-Merino, Carlos Alario-Hoyos, Mario Muñoz-Organero, Carlos Delgado Kloos, Manuel Fernández Molina, “The Effect of Different Features for Educational Computer-based Competition Environments”, IEEE Transactions on Learning Technologies, 2017
  • José A. Ruipérez Valiente, Srećko Joksimović, Vitomir Kovanović, Dragan Gašević, Pedro J. Muñoz-Merino and Carlos Delgado Kloos, “A Data-driven Method for the Detection of Close Submitters in Online Learning Environments”, Digital Learning Alternative Research Track at the 26th World Wide Web conference (WWW), Perth, Australia, 2017
  • Gayane Sedrakyan, Derick Leony, Pedro J. Muñoz Merino, Carlos Delgado Kloos, Katrien Verbert, “Evaluating Student-Facing Learning Dashboards of Affective States” EC-TEL 2017: 224-237
  • Pedro J. Muñoz-Merino, José A. Ruipérez-Valiente, Carlos Delgado Kloos, Maria A. Auger, Susana Briz, Vanessa de Castro, Silvia N. Santalla, “Flipping the classroom to improve learning with MOOCs technology”, Computer Applications in Engineering Education 2017, vol. 25, no.1, pp. 15-25
  • Giora Alexandron, José A. Ruipérez-Valiente, Z. Chen, Pedro J. Muñoz-Merino, Dave E. Pritchard, “Copying@ scale: Using harvesting accounts for collecting correct answers in a MOOC”, Computers & Education 2017, vol. 108, pp. 96-114
  • José A. Ruiperez-Valiente, Pedro J. Muñoz-Merino, José Gascón Pinedo, Carlos Delgado Kloos, “Scaling to Massiveness with ANALYSE: A Learning Analytics Tool for Open edX”, IEEE Transactions on Human-Machine Systems 2017, aceptado para su publicación, pp. 1-6
  • Pedro J. Muñoz-Merino, Eva M. Méndez Rodriguez, Carlos Delgado Kloos, José A. Ruipérez-Valiente, “Design, Implementation and Evaluation of SPOCs at the Universidad Carlos III de Madrid”, Journal of Universal Computer Science 2017, vol. 23, no. 2, pp.167-186,
  • Robles-Gómez, A., Ros, S., Martínez-Gámez, A., Hernández, R., Tobarra, Ll., Pastor, R., Caminero, A.C., Cano, J. (2017), Using Kibana and ElasticSearch for the Recommendation of Job Offers to Students, Learning Analytics Summer Institute Spain (LASI Spain 2017). Madrid, Spain.
  • Tobarra, Ll., Ros, S., Hernández, R., Robles-Gómez, A., Pastor, R., Caminero, A.C., Cano, J., Claramonte, J. (2017), Studying Students’ Behavior in UNED-COMA MOOCs, Learning Analytics Summer Institute Spain (LASI Spain 2017). Madrid, Spain.
  • Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez (2017). RaMon, a Rating Monitoring System for Educational Environments. Learning Analytics Summer Institute (LASI Spain 2017). Files: iconfinal_lasi_mikelv.pdf
  • Mikel Villamañe, Ainhoa Alvarez, Mikel Larrañaga (2017). Supporting complex assessment processes. Fifth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2017), ACM
  • Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez (2017). Rating monitoring as a means to mitigate rater effects and controversial evaluations. Fifth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2017), ACM

2016

  • de Arriba-Pérez, F., Caeiro-Rodríguez, M., & Santos-Gago, J. M. (2016). Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios. Sensors, 16(9), 1538. Disponible en http://www.mdpi.com/1424-8220/16/9/1538/htm
  • de Arriba Perez, F., Santos Gago, J.M., Caeiro Rodriguez, M. (2016). Analytics of biometric data from wearable devices to support teaching and learning activities. Journal  Information Systems Engineering Managment, 1, pp. 41–54. Disponible en http://www.lectitopublishing.nl/article/detail/w61lvexw
  • Hernández-García, Á., González-González, I., Jiménez-Zarco, A. I., & Chaparro-Peláez, J. (2016). Visualizations of Online Course Interactions for Social Network Learning Analytics. International Journal of Emerging Technologies in Learning, 11(7), 6–15.
  • Iratxe Menchaca, Mariluz Guenaga, and Josu Solabarrieta. (2016). Using learning analytics to assess project management skills on engineering degree courses. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM ’16), Francisco José García-Peñalvo (Ed.). ACM, New York, NY, USA, 369-376. DOI: https://doi.org/10.1145/3012430.3012542
  • Guenaga M.L., Garaizar, P. (2016). From Analysis to Improvement: Challenges and Opportunities for Learning Analytics. IEEE-RITA: IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, Volume: 11, Issue: 3, Aug. 2016, pp: 146-147. DOI: 10.1109/RITA.2016.2589481
  • Michavila, F., Martínez, J. M., Martín-González, M., García-Peñalvo, F. J., & Cruz-Benito, J. (2016). Barómetro de Empleabilidad y Empleo de los Universitarios en España, 2015 (Primer informe de resultados). http://hdl.handle.net/10366/127374
  • Cruz-Benito, J., Maderuelo, C., García-Peñalvo, F. J., Therón, R., Pérez-Blanco, J. S., Gómez, H. Z., & Martín-Suárez, A. (2016). Usalpharma: a software architecture to support learning in virtual worlds. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 11(3), 194-204. https://doi.org/10.1109/RITA.2016.2589719
  • Ángel Hernández-García and Miguel Á. Conde. 2016. Learning analytics: needs and opportunities. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM ’16), Francisco José García-Peñalvo (Ed.). ACM, New York, NY, USA, 309-312. DOI: https://doi.org/10.1145/3012430.3012533
  • Carlos Alario-Hoyos, Pedro J. Muñoz-Merino, Mar Pérez-Sanagustín, Carlos Delgado Kloos, Hugo Parada, “Who are top contributors in a MOOC? Relating participants’ performance and contributions”, Journal of Computer Assissted Learning 2016, vol. 32, no. 3, pp. 232-243
  • José A. Ruiperez-Valiente, Pedro J. Munoz-Merino, Carlos Delgado Kloos, Katja Niemann, Maren Scheffel, Martin Wolpers, “Analyzing the Impact of Using Optional Activities in Self-Regulated Learning”, IEEE Transactions on Learning Technologies 2016, vol. 9, no. 3, pp. 231-243
  • González-Blanco, E., Martínez Cantón, C., del Rio Riande, G., Ros, S., Pastor, R.,  Robles-Gómez, A.,  Caminero, A., Díez Platas, M.L., del Olmo, A.,  Urízar, M. (2017). EVI-LINHD, a virtual research environment for the Spanish-speaking community. Digital Scholarship in the Humanities (Q3-JCR 2016). Available online at https://doi.org/10.1093/llc/fqx025
  • Caminero, A.C., Ros, S., Hernández, R., Robles-Gómez, A., Tobarra, Ll., Tolbaños, P. J. (2016), VirTUal remoTe labORatories managEment System (TUTORES): Using cloud computing to acquire university practical skills. IEEE Transactions on Learning Technologies (IEEE-TLT)  (Q2-JCR 2016), vol. 9, no. 2, pp 133-145. Available online at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7214266
  • Robles-Gómez, A., González-Blanco, E., Ros, S., Del Rio Riande, G., Hernández, R., Tobarra, Ll., Caminero, A.C., Pastor, R. (2016), Researchers’ perceptions of DH trends and topics in the English and Spanish-speaking community: DayofDH data as a case study, Digital Humanities 2017. Krakov, Poland.
  • González-Blanco, E., Robles-Gómez, A., Ros, S., Del Rio Riande, G., Hernández, R., Urizar, M., Martínez, C. I., Pastor, R., Tobarra, Ll., Caminero, A.C. (2016), TEIScribe: A graphic tool for composing and testing TEI documents in the context of the EVI-LINHD environment, TEI Conference and Members’ meeting 2017. Viena, Austria.
  • Robles-Gómez, A., Ros, S., Martínez-Gámez, A., Hernández, R., Caminero, A.C., Tobarra, Ll., Pastor, R., Cano, J. (2016), Defining a Novel Ontology for Educational Counselling based on Professional Indicators, Workshop on Applied and Practical Learning Analytics (WAPLA), co-located with the 11th European Conference on Technology Enhanced Learning (EC-TEL). Lyon, France.
  • Tobarra, Ll., Ros, S., Pastor, R., Hernandez, R., Castro, M., Al-Zoubi, A.; Dmour, M., Robles-Gomez, A., Caminero, A. C. (2016), Laboratories as a Service integrated into Learning Management Systems, 13th International Conference on Remote Engineering and Virtual Instrumentation. (REV). Madrid, Spain.
  • Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez, Begoña Ferrero (2016). RubricVis: Enriching Rubric-Based Formative Assessment with Visual Learning Analytics. International Conference Technological Ecosystems for Enhancing Multiculturality (TEEM 2016), ACM, pp. 361-368
  • Villamañe, M., Alvarez A., Larrañaga M., Ferrero B (2016). Recommending Dimension Weights and Scale Values in Multi-rubric Evaluations. 11th European Conference on Technology Enhanced Education (EC-TEL 2016), September 2016, Springer, Vol 9891, pp. 678-681
  • Mikel Villamañe, Ainhoa Alvarez, Mikel Larrañaga, Begoña Ferrero (2016). Visual feedback in rubric based evaluation. Learning Analytics Summer Institute (LASI Spain 2016)

2015

  • Iglesias-Pradas, S., Ruiz-de-Azcárate, C., & Agudo-Peregrina, Á. F. (2015). Assessing the suitability of student interactions from Moodle data logs as predictors of cross-curricular competencies. Computers in Human Behavior, 47, 81–89.
  • Hernández-García, Á., González-González, I., Jiménez-Zarco, A. I., & Chaparro-Peláez, J. (2015). Applying social learning analytics to message boards in online distance learning: A case study. Computers in Human Behavior, 47, 68–80.
  • Garaizar P, Guenaga ML, Eguíluz A, Olivares C. (2015). The Kodetu dataset: A timestamped evolution of early programmers’ workspaces using Blockly. It’s About Time: 4th International Workshop on Temporal Analyses of Learning Data. Learning Analytics & Knowledge Conference (LAK’2015). Marist College, Poughkeepsie, NY, USA, March 16-20 2015
  • Guenaga, M.; Longarte, J.K.; Rayon, A. (2015) “Standardized enriched rubrics to support competeney-assessment through the SCALA methodology and dashboard,” Global Engineering Education Conference (EDUCON), 2015 IEEE , vol., no., pp.340,347, 18-20 March 2015. doi: 10.1109/EDUCON.2015.7095994. Best Paper Award in “Infrastructure and Technologies for Engineering Education” category
  • Olivares-Rodríguez, C. & Guenaga, M.L. (2015) Learning the Creative Potential of Students by Mining a Word Association Task, Educational Data Mining conference – EDM 2015 (Madrid)
  • Fidalgo-Blanco, Á., Sein-Echaluce, M. L., García-Peñalvo, F. J., & Conde, M. Á. (2015). Using Learning Analytics to improve teamwork assessment. Computers in Human Behavior, 47, 149-156. http://dx.doi.org/10.1016/j.chb.2014.11.050
  • García-Peñalvo, F. J., Cruz-Benito, J., Borrás-Gené, O., & Blanco, Á. F. (2015). Evolution of the Conversation and Knowledge Acquisition in Social Networks related to a MOOC Course. In International Conference on Learning and Collaboration Technologies (pp. 470-481). Springer International Publishing. http://doi.org/10.1007/978-3-319-20609-7_44
  • Miroslav Minovic, Milos Milovanovic, Uros Sosevic, Miguel Á. Conde (2015) “Visualisation of student learning model in serious games”, Computers in Human Behavior, ISSN 0747-5632, vol 47, pp 98-107 http://dx.doi.org/10.1016/j.chb.2014.09.005
  • Miguel Á. Conde, Ángel Hernández-García, (2015) “Learning Analytics for Educational Decision Making”, Computers in Human Behavior, ISSN 0747-5632, vol 47, pp 1-3 http://dx.doi.org/10.1016/j.chb.2014.12.034
  • Miguel Á. Conde, Ángel Hernández-García, Francisco J. García-Peñalvo, Maria L Sein-Echaluce, “Exploring student interactions: Learning analytics tools for student tracking”. In P. Zaphiris, I. Ioannou (Eds.), Learning and Collaboration Technologies. Second International Conference, LCT 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings. Lecture Notes in Computer Science. Vol. 9192. Pages 50-61. Switzerland: Springer International Publishing. ISBN: 978-3-319-20608-0. Online ISBN: 978-3-319-20609-7. ISSN: 0302-9743. DOI: http://dx.doi.org/10.1007/978-3-319-20609-7_6
  • Miguel Á. Conde, Ángel Hernández-García, Almiçar Olivera “Endless horizons?: addressing current concerns about learning analytics”. In Proceedings of the Third International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’15) (Porto, Portugal, October 7-9, 2015). G. R. Alves, M. C. Felgueiras (Eds.). Pages 259-262. Grupo GRIAL / ACM International Conference Proceeding Series (ICPS). New York, NY, USA: ACM. ISBN: 978-1-4503-3442-6. http://dl.acm.org/citation.cfm?id=2808619 . DOI: 10.1145/2808580.2808619
  • Pedro J. Muñoz-Merino, Carlos Delgado Kloos, Mario Muñoz-Organero, Abelardo Pardo, “A Software Engineering Model for the Development of Adaptation Rules and its Application in a Hinting Adaptive E-learning System”, Computer Science and Information Systems 2015, vol. 12, no. 1, pp. 203-231
  • Pedro J. Muñoz-Merino, José A. Ruipérez-Valiente, Carlos Alario-Hoyos, Mar Pérez-Sanagustín, Carlos Delgado Kloos, “Precise effectiveness strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs”, Computers in Human Behavior 2015, vol. 47, pp. 108-118
  • José A. Ruipérez-Valiente, Pedro J. Muñoz-Merino, Derick Leony, Carlos Delgado Kloos, “ALAS-KA: A learning analytics extension for better understanding the learning process in the Khan Academy platform”, Computers in Human Behavior 2015, vol. 47, pp. 139-148
  • Derick Leony, Pedro J. Muñoz-Merino, José A. Ruipérez-Valiente, Abelardo Pardo, David Arellano Martín-Caro, Carlos Delgado Kloos, “Detection and evaluation of emotions in Massive Open Online Courses”, Journal of Universal Computer Science 2015, vol. 21, no. 5, pp. 638-655
  • Tobarra, Ll.,  Ros, S., Pastor, R., Hernández, R., Castro, M., Al-Zoubi, A., Dmour, M., Robles-Gómez, A., Caminero, A.C., Cano, J. (2016), An Integrated Example of Laboratories as a Service into Learning Management Systems. International Journal of Online Engineering (iJOE) (Q2-SJR 2015). Available online at http://online-journals.org/index.php/i-joe/article/view/6149
  • Tobarra, Ll., Ros, S., Hernández, R., Marcos-Barreiro, A., Robles-Gómez, A., Caminero, A. C., Pastor, R., Castro, M. (2015), Creation of Customized Remote Laboratories by using Deconstruction. IEEE Journal of Latin-American Learning Technologies (IEEE-RITA) (Q3-SJR 2015), vol. 10, no 29, pp. 69-76. Available online at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6245520
  • Robles-Gómez, A., Ros, S., Hernández, R., Tobarra, Ll., Caminero, A.C., Agudo J.M. (2015), User Acceptance of a Proposed Self-Evaluation and Continuous Assessment System. Journal of Education Technology and Society (Q2-JCR 2015), vol. 18, no 2, pp. 97-109. Available online at http://www.ifets.info/journals/18_2/8.pdf
  • Ros, S., Hernández, R., Caminero, A.C., Robles-Gómez, A., Barbero, I., Maciá, A., Holgado, F.P. (2015), On the use of extended TAM to assess students acceptance and intent to use Third Generation Learning Management Systems. British Journal of Educational Technology (BJET) (Q1-JCR 2015). Available online at http://onlinelibrary.wiley.com/doi/10.1111/bjet.12199/abstract
  • Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez, Begoña Ferrero (2015).  Adjusting the weights of assessment elements in the evaluation of Final Year Projects. 8th International Conference on Educational Data Mining (EDM 2015), pp. 596-597

2014

  • Caeiro Rodríguez, M., (2014). ATENEA-I Learning Analytics para el profesor. Presentación en TELSpain, conjunto con SIIE 2014. Disponible en http://es.slideshare.net/mcaeiror/presentacion-telspain-ateneai-in2it-telgalicia-y-eduarea-learning-analytics-teaching-innovation
  • Hernández-García, Á. (2014). Usare Gephi per visualizzare la partecipazione nei corsi online: un approccio di Social Learning Analytics. TD Tecnologie Didattiche, 22(3), 148–156.
  • Agudo-Peregrina, Á. F., Iglesias-Pradas, S., Conde-González, M. Á., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in human behavior, 31, 542–550.
  • Gómez-Aguilar, D. A., García-Peñalvo, F. J., & Therón, R. (2014). Analítica visual en eLearning. El profesional de la información, 23(3), 236-245. http://hdl.handle.net/10366/125950
  • Cruz-Benito, J., Therón, R., García-Peñalvo, F. J., Maderuelo, C., Pérez-Blanco, J. S., Zazo, H., & Martín-Suárez, A. (2014). Monitoring and feedback of Learning Processes in Virtual Worlds through analytics architectures: A real case. In Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on (pp. 1-6). IEEE. https://doi.org/10.1109/CISTI.2014.6877097
  • Cruz-Benito, J., García-Peñalvo, F. J., & Therón, R. (2014). Defining generic data collectors for Learning Analytics: Facing up the heterogeneous data from heterogeneous environments. In Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on (pp. 365-366). IEEE. https://doi.org/10.1109/ICALT.2014.108
  • Cruz-Benito, J., García-Peñalvo, F. J., Therón, R., Maderuelo, C., Pérez-Blanco, J. S., Zazo, H., & Martín-Suárez, A. (2014). Using software architectures to retrieve interaction information in eLearning environments. In Computers in Education (SIIE), 2014 International Symposium on (pp. 117-120). IEEE. https://doi.org/10.1109/SIIE.2014.7017715
  • F J. García-Peñalvo, M. Á. Conde (2014) “Using Informal Learning for Business Decision Making and Knowledge Management”, Journal of Bussiness Research, vol 67-5, pp. 686-691.
  • Ángel Hernández-García, Miguel Á. Conde, (2014) “Dealing with complexity: educational data and tools for learning analytics”. In Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2014) (Salamanca, Spain, October 1-3, 2014). F. J. García-Peñalvo (Ed.). Pages 263-268. Grupo GRIAL / ACM International Conference Proceeding Series (ICPS). New York, NY, USA: ACM. ISBN: 978-1-4503-2896-8. http://dl.acm.org/citation.cfm?id=2669909. DOI: 10.1145/2669711.2669907. 2014.
  • Miguel Á. Conde, Francisco J. García-Peñalvo, Diego A. Gómez-Aguilar, Roberto Therón (2014) “Visual learning analytics techniques applied in software engineering subjects”. In 2014 IEEE Frontiers in Education Conference Proceedings (October 22-25, 2014 Madrid, Spain). IEEE. Pages 3009-3017. ISBN: 978-1-4799-3921-3. IEEE Catalog Number: CFP14FIE-ART. USB version, IEEE Catalog Number: CFP14FIE-USB. http://dx.doi.org/10.1109/FIE.2014.7044486
  • Ángel Hernández-García and Miguel Ángel Conde. 2014. Dealing with complexity: educational data and tools for learning analytics. In Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM ’14). ACM, New York, NY, USA, 263-268. DOI: http://dx.doi.org/10.1145/2669711.2669909
  • Pedro J. Muñoz-Merino, Manuel Fernández-Molina, Mario Muñoz-Organero, Carlos Delgado Kloos, “Motivation and Emotions in Competition Systems: An empirical study”, IEEE Transactions on Education 2014, vol. 57, no. 3, pp. 182-187
  • Tobarra, Ll., Ros, S., Hernández, R., Robles-Gómez, A., Caminero, A. C., Pastor, R. (2014), Integration of multiple data sources for predicting the engagement of students in practical activities. International Journal of Interactive Multimedia and Artificial Intelligence, vol. 2, no 7, pp. 53-62. Available online at http://www.ijimai.org/journal/sites/default/files/journals/IJIMAI20142_7.pdf
  • Caminero, A.C., Robles-Gómez, A., Ros, S., Tobarra, Ll., Hernández, R., Pastor, R., Castro, M. (2014), On the creation of customizable laboratory experiments: Deconstruction of remote laboratories to create Laboratories as a Service (LaaS). International Journal of Online Engineering (iJOE) (Q3-SJR 2014). Available online at http://online-journals.org/index.php/i-joe/article/view/3989
  • Ros, S., Caminero, A.C., Hernández, R., Robles-Gómez, A., Tobarra, Ll. (2014), Cloud-based Architecture for Web Applications with Load Forecasting Mechanism: A Use Case on the e-Learning Services of a Distant University. Journal of Supercomputing (Q2-JCR 2014), vol. 68, no 3, pp. 556-578. Available online at http://link.springer.com/article/10.1007%2Fs11227-014-1125-x
  • Tobarra, Ll., Robles-Gómez, A., Ros, S., Hernández, R., Caminero, A. C. (2014), Analyzing the students’ behavior and relevant topics in virtual learning communities. Computers in Human Behavior (Q1-JCR 2014), vol. 31, pp. 659-669. Available online at http://www.sciencedirect.com/science/article/pii/S0747563213003518
  • Al-Zoubi, A., Hammad, B., Ros, S., Tobarra, Ll., Hernández, R., Pastor, R., Castro, M. (2014), Remote laboratories for renewable energy courses at Jordan universities, 44th ASEE/IEEE Frontiers in Education Conference (FIE). Madrid Spain.
  • Orduña, P., Caminero, A.C., Lequerica, I., Zutin, D.G., Bailey, P., SanCristóbal, E., Rodríguez-Gil, L., Robles-Gómez, A., Latorre, M., DeLong, K., Tobarra, Ll., Ros, S., Castro, M., López-de-Ipiña, D., García-Zubia J. (2014), Generic integration of remote laboratories in public learning tools: organizational and technical challenges, 44th ASEE/IEEE Frontiers in Education Conference (FIE). Madrid Spain.
  • Tobarra, Ll., Ros, S., Hernández, R., Robles-Gómez, A., Caminero, A.C., Pastor, R. (2014), An Integrated Analytic Dashboard for Virtual Evaluation Laboratories and Collaborative Forums, XI Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica (TAEE). Bilbao, Spain.
  • Caminero, A. C., Orduña, P., Robles-Gómez, A., Ros, S., Tobarra, Ll., Hernández, R., Lequerica, I., García-Zubia, J., López-De-Ipiña, D., Zutin, D., San Cristóbal, E., Castro, M. (2014), On the integration of remote laboratories in collaborative social media platforms. XI Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica (TAEE). Bilbao, Spain.
  • Rodríguez-Gil, L., Latorre, M., Orduña, P., Robles-Gómez, A., SanCristóbal, E., Govaerts, S., Gillet, D., Lequerica, I., Caminero, A.C., Hernández, R., Ros, S., Castro, M., López-de-Ipiña, D., García-Zubia J. (2014), OpenSocial Application Builder and Customizer for School Teachers. 14th IEEE International Conference on Advanced Learning Technologies (ICALT). Athens, Greece.
  • Caminero, A.C, Robles-Gómez, A., Ros, S., Tobarra, Ll., Hernández, R., Pastor, R.,  Castro, M. (2014), Deconstructing remote laboratories to create Laboratories as a Service (LaaS). IEEE Global Engineering Education Conference (EDUCON). Estambul, Turkey. BEST PAPER AWARD.
  • Latorre, M., Robles-Gómez, A., Rodríguez, L., Orduña, P., SanCristóbal, E., Caminero, A.C., Tobarra, Ll., Lequerica, I., Ros, S., Hernández, R., Castro M., Lopez-de-Ipiña, D., García-Zubia J. (2014), A review of webapp authoring tools for e-learning. IEEE Global Engineering Education Conference (EDUCON). Estambul, Turkey.
  • Pastor-Vargas, R., Tobarra, Ll., Ros, S., Hernández, R., Caminero, A., Robles, A., Castro, M., Díaz, G., SanCristóbal, E., Tawfik M. (2014), Integration of management services for remote/virtual laboratorios. 2014 IEEE Global Engineering Education Conference (EDUCON). Estambul, Turkey.
  • Tobarra, Ll., Ros, S., Hernández, R., Pastor, R., Robles-Gómez, A., Caminero, A.C., Castro M. (2014), Low-Cost Remote Laboratories for Renewable Energy in Distance Education. 11th International Conference on Remote Engineering and Virtual Instrumentation (REV). Porto, Portugal.

2013

  • Miguel Á. Conde and Ángel Hernández-García. 2013. A promised land for educational decision-making?: present and future of learning analytics. In Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality (TEEM ’13), Francisco José García-Peñalvo (Ed.). ACM, New York, NY, USA, 239-243. DOI=http://dx.doi.org/10.1145/2536536.2536573
  • Pastor, R., Caminero, A., Sánchez, D., Hernández, R., Ros, S., Robles-Gómez, A., Tobarra, Ll. (2013), Laboratories as a Service (LaaS): Using cloud technologies in the field of education. Journal of Universal Computer Science (Q4-JCR 2013). vol. 19, no. 14, 2112-2126. Available online at http://www.jucs.org/jucs_19_14/laboratories_as_a_service/jucs_19_14_2112_2126_pastor.pdf
  • Caminero, A.C., Robles-Gómez, A., Ros, S., Hernández, R., Tobarra, Ll. (2013), P2P-based Resource Discovery in Dynamic Grids Allowing Multi-attribute and Range Queries. Parallel Computing (ParCo) (Q1-JCR 2013), vol. 39, no. 10, pp. 615-637. Available online at http://www.sciencedirect.com/science/article/pii/S0167819113000951
  • Ros, S., Hernández, R., Robles-Gómez, A., Tobarra, Ll., San Cristóbal, E. (2013), Open Service-Oriented Platforms for Personal Learning Environments. IEEE Internet Computing (Q1-JCR 2013), vol. 17, no. 4, pp. 26-31. Available online at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6547615
  • Caminero, A. C., Ros, S., Hernandez, R., Tobarra, Ll., Robles-Gómez, A., San Cristóbal, E., Tawfik, M., Castro, M. (2013), Obtaining university practical competences in engineering by means of virtualization and cloud computing technologies. Proc of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). Bali, Indonesia.
  • Caminero, A. C., Hernández, R., Ros, S., Robles-Gómez, A., Tobarra., Ll. (2013), Choosing the Right LMS: A Performance Evaluation of Three Open-Source LMS. IEEE Global Engineering Education Conference (EDUCON). Berlin, Germany.

2012

  • Agudo-Peregrina, Á. F., Hernández-García, Á., & Iglesias-Pradas, S. (2012). Predicting academic performance with learning analytics in virtual learning environments: A comparative study of three interaction classifications. In Computers in Education (SIIE), 2012 International Symposium on (pp. 1–6). IEEE.
  • Pedro J. Muñoz-Merino, Manuel Fernández Molina, Mario
    Muñoz-Organero, Carlos Delgado Kloos, “An Adaptive and Innovative Question-driven Competition-based Intelligent Tutoring System for Learning”, Expert Systems With Applications 2012, vol. 39, no. 8, pp. 6932-6948
  • Ros, S., Robles-Gómez, A., Hernández, R., Caminero, A.C., Pastor, R. (2012), Using Virtualization and Automatic Evaluation: Adapting Network Services Management Courses to the EHEA. IEEE Transactions on Education (Q2-JCR 2012), vol. 55, no. 2, pp. 196-202. Available online at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5944997
  • Tobarra, Ll., Robles-Gómez, A., Ros, S., Hernández, R., Caminero, A. C. (2012), Discovery of Interest Topics in Web-based Educational Communities. XIV International Symposium on Computers in Education, SIIE, Towards an effective social learning. Andorra La Vella, Andorra.
  • Caminero, A. C., Ros, S., Robles-Gómez, Tobarra, Ll., Hernández, R., Pastor, R., Rodríguez–Artacho, M., SanCristobal, E., Martín, S., Tawfik, M. (2012), Extending a Learning Management System with Social Capabilities: Integrating Moodle into Facebook”. 42nd ASEE/IEEE Frontiers in Education Conference (FIE). Seattle, Washington (USA).
  • Sánchez, D., Caminero, A. C., Hernández, R., Pastor, R., Ros, S., Robles-Gómez, A., Tobarra, Ll. (2012), On the use of cloud technologies to provide remote laboratories as a service, 1st International Workshop on Cloud Education Environments (WCLOUD). Antigua, Guatemala.

2011

2010

  • Pascual-Miguel, F., Chaparro-Peláez, J., Hernández-García, Á., & Iglesias-Pradas, S. (2010). A Comparative Study on the Influence between Interaction and Performance in Postgraduate In-Class and Distance Learning Courses Based on the Analysis of LMS Logs. In Technology Enhanced Learning. Quality of Teaching and Educational Reform (pp. 308–315). Springer Berlin Heidelberg.
  • Mario Muñoz-Organero, Pedro J. Muñoz-Merino, Carlos Delgado Kloos, “Personalized Service-Oriented E-learning Environments”, IEEE Internet Computing 2010, vol. 14, no. 2, pp. 62—67
  • Mario Muñoz-Organero, Gustavo A. Ramirez, Pedro Muñoz Merino, Carlos Delgado Kloos, “Pervasive, collaborative recommender system based on space-time similarities for an Internet of Things”. IEEE Pervasive Computing 2010, vol. 9, no. 3, pp. 81-87

2009

2008

  • Gómez Aguilar, D. A., Therón, R. , & García-Peñalvo, F. J. (2008). Semantic Spiral Timeline as a Support for eLearning. Journal of Universal Computer Sience, 15(7), 1526-1545. 10.3217/jucs-015-07-1526
  • Gómez Aguilar, D. A. , Therón, R., & García-Peñalvo, F. J. (2008). Understanding educational relationships in Moodle with ViMoodle. In Advanced Learning Technologies, 2008. ICALT’08. Eighth IEEE International Conference on (pp. 954-956). IEEE. https://doi.org/10.1109/ICALT.2008.276