Automated Student Model Improvement

Automated Student Model Improvement [electronic resource] / Kenneth R. Koedinger, Elizabeth A. McLaughlin and John C. Stamper.

Student modeling plays a critical role in developing and improving instruction and instructional technologies. We present a technique for automated improvement of student models that leverages the DataShop repository, crowd sourcing, and a version of the Learning Factors Analysis algorithm. We demon...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Authors: Koedinger, Kenneth R., McLaughlin, Elizabeth A. (Author), Stamper, John C. (Author)
Corporate Author: International Educational Data Mining Society
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 2012.
Subjects:
Educational Technology.
Intelligent Tutoring Systems.
Educational Improvement.
Mathematics.
Academic Achievement.
Tutors.
Models.
Evaluation.

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Call Number: ED537201
ED537201 Available

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