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.
|Number of pages||8|
|Journal||Lecture Notes in Educational Technology|
|Publication status||Published - 2015|
- Learning analytics
- Self-regulated learning