Detailed Information on Publication Record
2016
Properties and Applications of Wrong Answers in Online Educational Systems
PELÁNEK, Radek and Jiří ŘIHÁKBasic information
Original name
Properties and Applications of Wrong Answers in Online Educational Systems
Authors
Edition
Raleigh (USA, NC), Proceedings of the 9th International Conference on Educational Data Mining, p. 466-471, 6 pp. 2016
Publisher
International Educational Data Mining Society
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
Organization unit
Faculty of Informatics
Keywords in English
adaptive learning; student modeling; wrong answer; clustering; confusion
Tags
International impact, Reviewed
Změněno: 6/8/2017 11:23, RNDr. Jiří Řihák, Ph.D.
Abstract
V originále
In online educational systems we can easily collect and analyze extensive data about student learning. Current practice, however, focuses only on some aspects of these data, particularly on correctness of students answers. When a student answers incorrectly, the submitted wrong answer can give us valuable information. We provide an overview of possible applications of wrong answers and analyze wrong answers from three different educational systems (geography, anatomy, basic arithmetic). Using this cross-system comparison we illustrate some common properties of wrong answers. We also propose techniques for processing of wrong answers and their visualization, particularly an approach to item clustering based on community detection in a confusion graph.
Links
| MUNI/A/0945/2015, interní kód MU |
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