PAPOUŠEK, Jan and Radek PELÁNEK. Evaluation of Learners' Adjustment of Question Difficulty in Adaptive Practice of Facts. Online. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization. New York: ACM, 2017, p. 379-380. ISBN 978-1-4503-4635-1. Available from: https://dx.doi.org/10.1145/3079628.3079642.
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Basic information
Original name Evaluation of Learners' Adjustment of Question Difficulty in Adaptive Practice of Facts
Authors PAPOUŠEK, Jan (203 Czech Republic, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution).
Edition New York, Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, p. 379-380, 2 pp. 2017.
Publisher ACM
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/17:00099573
Organization unit Faculty of Informatics
ISBN 978-1-4503-4635-1
Doi http://dx.doi.org/10.1145/3079628.3079642
Keywords in English adaptive learning; difficulty
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 18/5/2018 04:35.
Abstract
Personalized educational systems are able to provide learners questions of specified difficulty. Since learners differ, the appropriate level of difficulty may vary and it may be impossible to find an universal setting. We implemented a version of an adaptive educational system for geography practice that allows learners to adjust difficulty of questions. We evaluated this feature using a randomized control experiment. The overall results show only a small effect of the adjustment. A more detailed analysis, however, shows that for some groups of learners the effect can be important, although not necessarily advantageous. The collected data from the experiment provide insight into how to tune question difficulty automatically.
Links
MUNI/A/0897/2016, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VI.
Investor: Masaryk University, Category A
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