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ERIC Number: EJ993135
Record Type: Journal
Publication Date: 2012
Pages: 10
Abstractor: As Provided
Reference Count: 23
ISBN: N/A
ISSN: ISSN-1939-1382
Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines
Pattanasri, N.; Mukunoki, M.; Minoh, M.
IEEE Transactions on Learning Technologies, v5 n1 p52-61 Jan-Mar 2012
Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide level, we apply a machine learning technique to classify presentation slides according to comprehension levels. Our experimental result suggests that presentation-based features are as predictive as bag-of-words feature vector which is proved successful in text classification tasks. Our analysis on presentation-based features reveals possible causes of poor lecture comprehension. (Contains 9 tables and 1 figure.)
Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Japan