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https://idr.l3.nitk.ac.in/jspui/handle/123456789/8826
Title: | Predicting student learning from conversational cues |
Authors: | Adamson, D. Bharadwaj, A. Singh, A. Ashe, C. Yaron, D. Ros�, C.P. |
Issue Date: | 2014 |
Citation: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, Vol.8474 LNCS, , pp.220-229 |
Abstract: | In the work here presented, we apply textual and sequential methods to assess the outcomes of an unconstrained multiparty dialogue. In the context of chat transcripts from a collaborative learning scenario, we demonstrate that while low-level textual features can indeed predict student success, models derived from sequential discourse act labels are also predictive, both on their own and as a supplement to textual feature sets. Further, we find that evidence from the initial stages of a collaborative activity is just as effective as using the whole. � 2014 Springer International Publishing Switzerland. |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/8826 |
Appears in Collections: | 2. Conference Papers |
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