NIŽNAN, Juraj, Radek PELÁNEK and Jiří ŘIHÁK. Using Problem Solving Times and Expert Opinion to Detect Skills. Online. In John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren. Proceedings of the 7th International Conference on Educational Data Mining. London: International Educational Data Mining Society, 2014, p. 433-434. ISBN 978-0-9839525-4-1.
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Basic information
Original name Using Problem Solving Times and Expert Opinion to Detect Skills
Name in Czech Využití řešitelských času a názoru experta pro detekci dovedností
Authors NIŽNAN, Juraj (703 Slovakia, belonging to the institution), Radek PELÁNEK (203 Czech Republic, guarantor, belonging to the institution) and Jiří ŘIHÁK (203 Czech Republic, belonging to the institution).
Edition London, Proceedings of the 7th International Conference on Educational Data Mining, p. 433-434, 2 pp. 2014.
Publisher International Educational Data Mining Society
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/14:00077270
Organization unit Faculty of Informatics
ISBN 978-0-9839525-4-1
Keywords in English Q-matrix; domain modeling; student modeling; problem solving; time; evaluation
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2015 22:22.
Abstract
Construction of a mapping between educational content and skills is an important part of development of adaptive ed- ucational systems. This task is difficult, requires a domain expert, and any mistakes in the mapping may hinder the po- tential of an educational system. In this work we study tech- niques for improving a problem-skill mapping constructed by a domain expert using student data, particularly prob- lem solving times. We describe and compare different tech- niques for the task – a multidimensional model of problem solving times and supervised classification techniques. In the evaluation we focus on surveying situations where the combination of expert opinion with student data is most useful.
Links
LG13010, research and development projectName: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0855/2013, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace III. (Acronym: FI MAV III.)
Investor: Masaryk University, Category A
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