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Autor/inn/enArnau, David; Arevalillo-Herráez, Miguel; González-Calero, José Antonio
TitelEmulating Human Supervision in an Intelligent Tutoring System for Arithmetical Problem Solving
QuelleIn: IEEE Transactions on Learning Technologies, 7 (2014) 2, S.155-164 (10 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1939-1382
DOI10.1109/TLT.2014.2307306
SchlagwörterIntelligent Tutoring Systems; Arithmetic; Problem Solving; Supervision; Computer Assisted Instruction; Feedback (Response); Mathematics Instruction; Word Problems (Mathematics); Preservice Teachers; Foreign Countries; Spain
AbstractThis paper presents an intelligent tutoring system (ITS) for the learning of arithmetical problem solving. This is based on an analysis of (a) the cognitive processes that take place during problem solving; and (b) the usual tasks performed by a human when supervising a student in a one-to-one tutoring situation. The ITS is able to identify the solving strategy that the student is following and offer adaptive feedback that takes into account both the problem's constraints and the decisions previously made by the user. An observational study shows the ITS's accuracy at emulating expert human supervision, and a randomized experiment reveals that the ITS significantly improves students' learning in arithmetical problem solving. (As Provided).
AnmerkungenInstitute 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
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2018/2/04
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