| ALAS-KA: A learning analytics extension for better understanding the learning process in the Khan Academy platform JA Ruipérez-Valiente, PJ Muñoz-Merino, D Leony, CD Kloos Computers in Human Behavior 47, 139-148, 2015 | 257 | 2015 |
| Prediction in MOOCs: A review and future research directions PM Moreno-Marcos, C Alario-Hoyos, PJ Muñoz-Merino, CD Kloos IEEE transactions on Learning Technologies 12 (3), 384-401, 2018 | 186 | 2018 |
| Learning analytics in European higher education—Trends and barriers YS Tsai, D Rates, PM Moreno-Marcos, PJ Munoz-Merino, I Jivet, ... Computers & Education 155, 103933, 2020 | 159 | 2020 |
| Precise Effectiveness Strategy for analyzing the effectiveness of students with educational resources and activities in MOOCs PJ Muñoz-Merino, JA Ruipérez-Valiente, C Alario-Hoyos, ... Computers in Human Behavior 47, 108-118, 2015 | 154 | 2015 |
| Temporal analysis for dropout prediction using self-regulated learning strategies in self-paced MOOCs PM Moreno-Marcos, PJ Muñoz-Merino, J Maldonado-Mahauad, ... Computers & Education 145, 103728, 2020 | 145 | 2020 |
| Mixing and blending MOOC Technologies with face-to-face pedagogies CD Kloos, PJ Muñoz-Merino, C Alario-Hoyos, IE Ayres, ... 2015 IEEE Global Engineering Education Conference (EDUCON), 967-971, 2015 | 118 | 2015 |
| Identifying needs for learning analytics adoption in Latin American universities: A mixed-methods approach I Hilliger, M Ortiz-Rojas, P Pesántez-Cabrera, E Scheihing, YS Tsai, ... The Internet and Higher Education 45, 100726, 2020 | 98 | 2020 |
| Sentiment analysis in MOOCs: A case study PM Moreno-Marcos, C Alario-Hoyos, PJ Muñoz-Merino, I Estévez-Ayres, ... 2018 IEEE global engineering education conference (EDUCON), 1489-1496, 2018 | 96 | 2018 |
| Inferring higher level learning information from low level data for the Khan Academy platform PJ Muñoz-Merino, JAR Valiente, CD Kloos Proceedings of the third international conference on learning analytics and …, 2013 | 87 | 2013 |
| Analysis of the factors influencing learners’ performance prediction with learning analytics PM Moreno-Marcos, TC Pong, PJ Munoz-Merino, CD Kloos IEEE Access 8, 5264-5282, 2020 | 84 | 2020 |
| Who are the top contributors in a MOOC? Relating participants' performance and contributions C Alario‐Hoyos, PJ Muñoz‐Merino, M Pérez‐Sanagustín, ... Journal of Computer Assisted Learning 32 (3), 232-243, 2016 | 84 | 2016 |
| Student behavior and interaction patterns with an LMS as motivation predictors in e-learning settings M Munoz-Organero, PJ Munoz-Merino, CD Kloos IEEE Transactions on Education 53 (3), 463-470, 2009 | 82 | 2009 |
| Copying@ Scale: Using harvesting accounts for collecting correct answers in a MOOC G Alexandron, JA Ruipérez-Valiente, Z Chen, PJ Muñoz-Merino, ... Computers & Education 108, 96-114, 2017 | 78 | 2017 |
| Lessons learned from the design of situated learning environments to support collaborative knowledge construction M Pérez-Sanagustín, PJ Muñoz-Merino, C Alario-Hoyos, X Soldani, ... Computers & Education 87, 70-82, 2015 | 74 | 2015 |
| Motivation and emotions in competition systems for education: An empirical study PJ Muñoz-Merino, MF Molina, M Muñoz-Organero, CD Kloos IEEE Transactions on education 57 (3), 182-187, 2014 | 70 | 2014 |
| Flipping the classroom to improve learning with MOOCs technology PJ Muñoz‐Merino, JA Ruipérez‐Valiente, C Delgado Kloos, MA Auger, ... Computer Applications in Engineering Education 25 (1), 15-25, 2017 | 69 | 2017 |
| Personalized service-oriented e-learning environments MM Organero, CD Kloos, PM Merino IEEE Internet Computing 14 (2), 62-67, 2009 | 69 | 2009 |
| Predicting learners’ success in a self-paced MOOC through sequence patterns of self-regulated learning J Maldonado-Mahauad, M Pérez-Sanagustín, PM Moreno-Marcos, ... Lifelong Technology-Enhanced Learning: 13th European Conference on …, 2018 | 68 | 2018 |
| Using machine learning to detect ‘multiple-account’cheating and analyze the influence of student and problem features JA Ruiperez-Valiente, PJ Munoz-Merino, G Alexandron, DE Pritchard IEEE transactions on learning technologies 12 (1), 112-122, 2017 | 68 | 2017 |
| A collaborative recommender system based on space-time similarities M Munoz-Organero, GA Ramírez-González, PJ Munoz-Merino, CD Kloos IEEE Pervasive Computing 9 (3), 81-87, 2010 | 65 | 2010 |
Carlos Delgado KloosUniversidad Carlos III de Madrid在 it.uc3m.es 的电子邮件经过验证
