Modeling Students' Memory for Application in Adaptive Educational Systems

PELÁNEK, Radek. Modeling Students' Memory for Application in Adaptive Educational Systems. Online. In Proceedings of the 8th International Conference on Educational Data Mining. Madrid: International Educational Data Mining Society, 2015, p. 480-483. ISBN 978-84-606-9425-0.

Basic information

Original name

Modeling Students' Memory for Application in Adaptive Educational Systems

Authors

PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution)

Edition

Madrid, Proceedings of the 8th International Conference on Educational Data Mining, p. 480-483, 4 pp. 2015

Publisher

International Educational Data Mining Society

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Spain

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/15:00087183

Organization unit

Faculty of Informatics

ISBN

978-84-606-9425-0

Keywords in English

student modeling; human memory; evaluation

Tags

core_B, firank_B

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Abstract

V originále

Human memory has been thoroughly studied and modeled in psychology, but mainly in laboratory setting under simplified conditions. For application in practical adaptive educational systems we need simple and robust models which can cope with aspects like varied prior knowledge or multiple-choice questions. We discuss and evaluate several models of this type. We show that using the extensive data sets collected by online educational systems it is possible to build well calibrated models and get interesting insight, which can be used for improvement of adaptive educational systems.