A framework to automatically analyze regulation

Lanqin Zheng, Moushir M. El-Bishouty, Colin Pinnell, Jason Bell, Vive Kumar, Kinshuk

Research output: Contribution to journalJournal Articlepeer-review

4 Citations (Scopus)


Self-regulated learning has achieved prominence in recent years. Helping students to become self-regulated learners is becoming a favorite target of researchers and educational practitioners. This study proposes a novel framework that can automatically analyze online self-regulated learning processes and competencies. It presents an analytics dashboard that encourages students to initiate activities of self-regulation and guide them to reflect on their competencies. The architecture of the framework and an applied scenario are presented and discussed in detail.

Original languageEnglish
Pages (from-to)23-30
Number of pages8
JournalLecture Notes in Educational Technology
Issue number9783662441879
Publication statusPublished - 2015


  • Competency
  • Dashboard
  • Learning analytics
  • Self-regulated learning


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