Assessing process in CSCL: An ontological approach

Vive S. Kumar, Carmen L.Z. Gress, Allyson F. Hadwin, Phillip H. Winne

Research output: Contribution to journalJournal Articlepeer-review

34 Citations (Scopus)


Educational technology innovations enable students to collaborate in online educational tasks, across individual, institutional, and national boundaries. However, online interactions across these boundaries are seldom transparent to each other. As a result, students are not motivated to share their best learning practices. Also, there is no singular basis on which one can compare learning practices of multiple students. In addressing these problems, we offer a solution that encourages students to record and share their learning interactions using our ontology-oriented theory-centric software tool. In doing so, students not only observe the products of their learning but also the process of how they learnt. These unique and computationally formal recordings of learning interactions not only allow educators to observe how learners learn, but also provide opportunities for learners to reflect on their understanding of meta-cognitive processes that they employed or neglected in their learning. Further, these recordings feed our software system to autonomously analyze students' learning behaviour and to actively promote self- and co-regulation among learners. This article presents the need for such a system, the architecture of the system, and concludes with key experimental observations from software prototypes.

Original languageEnglish
Pages (from-to)825-834
Number of pages10
JournalComputers in Human Behavior
Issue number5
Publication statusPublished - Sep. 2010


  • Computer-supported collaborative learning
  • GStudy
  • Ontology
  • Trace data


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