This study investigated whether clustering can identify different groups of students enrolled in a massive open online course (MOOC). This study applied self-organizing map and hierarchical clustering algorithms to the log files of a physics MOOC capturing how students solved weekly homework and quiz problems to identify clusters of students…

Two factors that may affect achievement scores are discussed. The two factors are: students' expectations and the problem of homework. (MNS)

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Describes a study of three parts: (1) the application of a statistical technique for predicting performance; (2) a computer program for teaching basic problem-solving skills; and (3) evidence for the value of teaching with complex homework problems in an introductory physics course required for engineering majors. (Contains 42 references.)…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…