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ERIC Number: EJ927666
Record Type: Journal
Publication Date: 2011-Jan
Pages: 10
Abstractor: As Provided
Reference Count: 22
ISBN: N/A
ISSN: ISSN-0007-1013
Using Text Mining to Uncover Students' Technology-Related Problems in Live Video Streaming
Abdous, M'hammed; He, Wu
British Journal of Educational Technology, v42 n1 p40-49 Jan 2011
Because of their capacity to sift through large amounts of data, text mining and data mining are enabling higher education institutions to reveal valuable patterns in students' learning behaviours without having to resort to traditional survey methods. In an effort to uncover live video streaming (LVS) students' technology related-problems and to improve their learning experience, we applied text mining to data culled from LVS interactions. Our findings revealed low LVS student participation, which triggered us to initiate several actions to promote more active student participation. Our findings support previous studies regarding the effectiveness of data mining in transforming raw educational data into knowledge and decision-making tools. (Contains 4 figures and 1 table.)
Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA/
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A