Learning focused search in an online social network community.

Smith, Brittany N.; Lugya, Fredrick Kiwuwa; Evans, Craig

dc.contributor.author	Smith, Brittany N.
dc.contributor.author	Lugya, Fredrick Kiwuwa
dc.contributor.author	Evans, Craig
dc.date.accessioned	2022-11-01T08:16:27Z
dc.date.available	2022-11-01T08:16:27Z
dc.date.issued	2013-02
dc.identifier.citation	Smith, B. N., Lugya, F. K., & Evans, C. (2013). Learning focused search in an online social network community. iConference 2013 Proceedings (pp. 1076-1080). doi:10.9776/13522.	en_US
dc.identifier.uri	http://hdl.handle.net/20.500.12283/2471
dc.description	Conference Proceedings	en_US
dc.description.abstract	Current search engines satisfactorily return relevant, ranked results to most posed queries. However, when searching on a dense topic for individual or collaborative learning purposes, the highest ranked results retrieved by these engines might not be the best starting point for learners given their current level of competence. We leverage concepts and computational solutions related to peer knowledge and interaction data in order to convert ranked search results in So.cl into sequenced results that allow learners to start with sources that are accessible and understandable before moving to increasingly advanced and complex content. Keywords: social search, collaborative learning	en_US
dc.description.sponsorship	The University of Illinois at Urbana-Champaign	en_US
dc.language.iso	en	en_US
dc.publisher	CORE	en_US
dc.subject	Social search	en_US
dc.subject	Collaborative learning	en_US
dc.title	Learning focused search in an online social network community.	en_US
dc.type	Other	en_US