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Abstract
As Computer Supported Collaborative Learning (CSCL) gains a broader usage as a viable alternative to traditional educational scenarios, the need for automated tools capable of evaluating active participation and collaboration among peers in online discussions increases. In this study, we validate a quantitative model of predicting involvement in CSCL chats based on student’s pauses throughout the timeline of the conversation. Starting from a corpus of 10 chat conversations, our proposed model explains 55% of the variance in terms of student participation and 42% in terms of collaboration, although relying on simple quantitative indices.
Original language | English |
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Pages (from-to) | 83-92 |
Journal | Polytechnical University of Bucharest. Scientific Bulletin. Series C: Electrical Engineering and Computer Science |
Volume | 79 |
Issue number | 2 |
Publication status | Published - Oct 2017 |
Externally published | Yes |
Keywords
- Computer Supported Collaborative Learning
- pause analysis
- fluency
- speed
- automatic evaluation of participation and collaboration
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Dive into the research topics of 'Predicting Collaboration based on Students' Pauses in Online CSCL Conversations'. Together they form a unique fingerprint.Projects
- 1 Finished
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19
Project: Research