Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8243
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dc.contributor.authorJain, S.
dc.contributor.authorSinha, T.
dc.contributor.authorShah, A.
dc.contributor.authorSharma, C.
dc.contributor.authorRose, C.
dc.date.accessioned2020-03-30T10:18:16Z-
dc.date.available2020-03-30T10:18:16Z-
dc.date.issued2013
dc.identifier.citationProceedings of the 21st International Conference on Computers in Education, ICCE 2013, 2013, Vol., , pp.277-282en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8243-
dc.description.abstractWith the proliferation of social media into our daily lives, online communities have become an important platform for collaborative learning and education. To connect users with varying knowledge levels and increase the net learning throughput, these communities often follow a question-answer based approach. Understanding what drives attention to help-seeking questions can reduce the amount of questions that go unnoticed or remain unanswered by the community. In this paper we discuss an important feature that affects the activity of the community, namely the community norms. We present a machine learning based trigger-driven feedback model that functions by (i) differentiating between help-seeking questions and follow-up posts - i.e. posts that are part of an ongoing discussion, and (ii) a dynamic intervention scheme to help improve question formulation. Our findings show that adhering to the community norms significantly increases the chance of eliciting a response.en_US
dc.titleImpact of group norms in eliciting response in a goal driven virtual communityen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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