Abstract
This paper describes work in progress to answer the question of how we can identify and model the depth and quality of student participation in class discussion forums using the content of the discussion forum messages. We look at two widely-studied frameworks for assessing critical discourse and cognitive engagement: the ICAP and Community of Inquiry (CoI) frameworks. Our goal is to discover where they agree and where they offer complementary perspectives on learning. In this study, we train predictive classifiers for both frameworks on the same data set in order to discover which attributes are most predictive and how those correlate with the framework labels. We find that greater depth and quality of participation is associated with longer and more complex messages in both frameworks, and that the threaded reply structure matters more than temporal order. We find some important differences as well, particularly in the treatment of messages of affirmation.
Original language | English |
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Title of host publication | LAK 2020 Conference Proceedings |
Editors | Vitomir Kovanović, Maren Scheffel, Niels Pinkwart, Katrien Verbert |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 129-134 |
Number of pages | 6 |
ISBN (Electronic) | 9781450377126 |
DOIs | |
Publication status | Published - 2020 |
Event | International Learning Analytics & Knowledge Conference 2020 - Frankfurt, Germany Duration: 23 Mar 2020 → 27 Mar 2020 Conference number: 10th https://lak20.solaresearch.org (Website) https://dl-acm-org.ezproxy.lib.monash.edu.au/doi/proceedings/10.1145/3375462 (Website) |
Conference
Conference | International Learning Analytics & Knowledge Conference 2020 |
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Abbreviated title | LAK 2020 |
Country/Territory | Germany |
City | Frankfurt |
Period | 23/03/20 → 27/03/20 |
Internet address |
Keywords
- Cognitive presence
- Community of Inquiry
- Discussion forum
- Engagement
- ICAP
- Participation
- Text analysis