NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ954184
Record Type: Journal
Publication Date: 2011
Pages: 21
Abstractor: As Provided
ISSN: ISSN-1560-4292
Detecting Learning Moment-by-Moment
Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T.
International Journal of Artificial Intelligence in Education, v21 n1-2 p5-25 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a specific problem step (instead of at the next or previous problem step). We use this model to analyze which KCs are learned gradually, and which are learned in "eureka" moments. We also discuss potential ways that this model could be used to improve the effectiveness of cognitive mastery learning. (Contains 5 figures and 2 tables.)
IOS Press. Nieuwe Hemweg 6B, Amsterdam, 1013 BG, The Netherlands. Tel: +31-20-688-3355; Fax: +31-20-687-0039; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Grade 6; Grade 7; Grade 8; High Schools; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Massachusetts; Pennsylvania; South Carolina; Virginia
IES Funded: Yes
Grant or Contract Numbers: R305A070440