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ERIC Number: EJ1115371
Record Type: Journal
Publication Date: 2009
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2157-2100
EISSN: N/A
Mining Diagnostic Assessment Data for Concept Similarity
Madhyastha, Tara; Hunt, Earl
Journal of Educational Data Mining, v1 n1 p72-90 2009
This paper introduces a method for mining multiple-choice assessment data for similarity of the concepts represented by the multiple choice responses. The resulting similarity matrix can be used to visualize the distance between concepts in a lower-dimensional space. This gives an instructor a visualization of the relative difficulty of concepts among the students in the class. It may also be used to cluster concepts, to understand unknown responses in the context of previously identified concepts.
International Educational Data Mining. e-mail: jedm.editor@gmail.com; Web site: http://jedm.educationaldatamining.org/index.php/JEDM
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A