| Modeling and predicting students’ engagement behaviors using mixture Markov models | 0 | 0.34 | 2022 |
| Improving the portability of predicting students’ performance models by using ontologies | 1 | 0.63 | 2022 |
| A review on data fusion in multimodal learning analytics and educational data mining | 0 | 0.34 | 2022 |
| Correction to: Improving the portability of predicting students’ performance models by using ontologies | 0 | 0.34 | 2022 |
| Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, EDM 2019 Workshops, Montréal, Canada, July 2-5, 2019. | 0 | 0.34 | 2020 |
| Educational data mining and learning analytics: An updated survey | 7 | 0.69 | 2020 |
| Process mining for self-regulated learning assessment in e-learning | 2 | 0.40 | 2020 |
| Predicting students' performance using emotion detection from face-recording video when interacting with an ITS. | 0 | 0.34 | 2020 |
| Improving essay peer grading accuracy in massive open online courses using personalized weights from student's engagement and performance | 0 | 0.34 | 2019 |
| A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students. | 0 | 0.34 | 2018 |
| A survey on educational process mining. | 12 | 0.69 | 2018 |
| Educational data science in massive open online courses. | 9 | 1.02 | 2017 |
| MDM tool: A data mining framework integrated into Moodle. | 7 | 0.47 | 2017 |
| Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. | 0 | 0.34 | 2017 |
| Using Android Wear for Avoiding Procrastination Behaviours in MOOCs. | 2 | 0.41 | 2016 |
| Early dropout prediction using data mining: a case study with high school students | 16 | 0.67 | 2016 |
| Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. | 0 | 0.34 | 2016 |
| An evolutionary algorithm for the discovery of rare class association rules in learning management systems | 17 | 0.78 | 2015 |
| Discovering clues to avoid middle school failure at early stages | 0 | 0.34 | 2015 |
| Improving Meta-Learning For Algorithm Selection By Using Multi-Label Classification: A Case Of Study With Educational Data Sets | 3 | 0.39 | 2015 |
| Evaluation and selection of group recommendation strategies for collaborative searching of learning objects | 3 | 0.42 | 2015 |
| Discovering Students' Navigation Paths in Moodle. | 1 | 0.36 | 2015 |
| J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice | 1 | 0.39 | 2015 |
| Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm | 18 | 0.59 | 2014 |
| Clustering for improving educational process mining | 17 | 0.96 | 2014 |
| On the use of genetic programming for mining comprehensible rules in subgroup discovery. | 12 | 0.54 | 2014 |
| Foreword: Intelligent data analysis. | 0 | 0.34 | 2014 |
| Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining. | 0 | 0.34 | 2014 |
| A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets. | 9 | 0.59 | 2013 |
| Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data | 36 | 1.57 | 2013 |
| A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data. | 0 | 0.34 | 2013 |
| Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. | 22 | 0.86 | 2013 |
| A framework for recommendation in learning object repositories: An example of application in civil engineering | 16 | 0.79 | 2013 |
| DRAL: a tool for discovering relevant e-activities for learners. | 5 | 0.50 | 2013 |
| Web usage mining for predicting final marks of students that use Moodle courses | 49 | 2.24 | 2013 |
| Data mining in education | 39 | 2.33 | 2013 |
| Predicting students' final performance from participation in on-line discussion forums | 94 | 3.62 | 2013 |
| Discovering subgroups by means of genetic programming | 6 | 0.47 | 2013 |
| Classification via clustering for predicting final marks starting from the student participation in Forums. | 6 | 0.65 | 2012 |
| Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. | 7 | 0.53 | 2012 |
| Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. | 2 | 0.49 | 2012 |
| Using Data Mining in a Recommender System to Search for Learning Objects in Repositories. | 3 | 0.58 | 2011 |
| Multiple instance learning for classifying students in learning management systems | 22 | 1.05 | 2011 |
| Preface to the special issue on data mining for personalised educational systems | 4 | 0.55 | 2011 |
| RM-Tool: A framework for discovering and evaluating association rules | 13 | 0.66 | 2011 |
| A Java Desktop Tool for Mining Moodle Data. | 5 | 0.72 | 2011 |
| A similarity-based approach to enhance learning objects management systems. | 2 | 0.38 | 2011 |
| A collaborative educational association rule mining tool | 19 | 0.81 | 2011 |
| Predicting School Failure Using Data Mining. | 11 | 0.85 | 2011 |
| Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011 | 70 | 13.25 | 2011 |
