Educational Data Mining: User Categorization in Virtual Learning Environments

摘要: This chapter provides a brief overview of applying educational data mining (EDM) to identify the behaviour students in virtual teaching environments and presents results one particular b-learning initiative. The purpose research is explore usage patterns asynchronous communication tools by students. initiative was developed over semester on an operations course that taught using methodology at School Economic Sciences. In particular, active, non-active, collaborative passive users were identified soft clustering approach. A fuzzy algorithm used groups based their social interaction forums temporal evolution this classification during presented.