NIŽNAN, Juraj, Jan PAPOUŠEK and Radek PELÁNEK. Exploring the Role of Small Differences in Predictive Accuracy using Simulated Data. Online. In Second Workshop on Simulated Learners. Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education. Madrid: Sun SITE Central Europe, 2015, p. 21-30. ISSN 1613-0073.
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Basic information
Original name Exploring the Role of Small Differences in Predictive Accuracy using Simulated Data
Authors NIŽNAN, Juraj (703 Slovakia, belonging to the institution), Jan PAPOUŠEK (203 Czech Republic, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, belonging to the institution).
Edition Madrid, Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, p. 21-30, 10 pp. 2015.
Publisher Sun SITE Central Europe
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/15:00083277
Organization unit Faculty of Informatics
ISSN 1613-0073
Keywords in English student modeling; evaluation; simulated data; feedback
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Radek Pelánek, Ph.D., učo 4297. Changed: 31/3/2016 14:49.
Abstract
Research in student modeling often leads to only small improvements in predictive accuracy of models. The importance of such improvements is often hard to assess and has been a frequent subject of discussions in student modeling community. In this work we use simulated students to study the role of small differences in predictive accuracy. We study the impact of such differences on behavior of adaptive educational systems and relation to interpretation of model parameters. We also point out a feedback loop between student models and data used for their evaluation and show how this feedback loop may mask important differences between models.
Links
MUNI/A/1159/2014, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace IV.
Investor: Masaryk University, Category A
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