Detailed Information on Publication Record
2019
Item Ordering Biases in Educational Data
ČECHÁK, Jaroslav and Radek PELÁNEKBasic information
Original name
Item Ordering Biases in Educational Data
Authors
ČECHÁK, Jaroslav (203 Czech Republic, guarantor, belonging to the institution) and Radek PELÁNEK (203 Czech Republic, belonging to the institution)
Edition
Cham, International Conference on Artificial Intelligence in Education, p. 48-58, 11 pp. 2019
Publisher
Springer
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
Impact factor
Impact factor: 0.402 in 2005
RIV identification code
RIV/00216224:14330/19:00110476
Organization unit
Faculty of Informatics
ISBN
978-3-030-23203-0
ISSN
UT WoS
000495604300005
Keywords in English
intelligent tutoring system; data collection; explore-exploit tradeoff; simulation
Tags
International impact, Reviewed
Změněno: 3/5/2020 12:41, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
Data collected in a learning system are biased by order in which students solve items. This bias makes data analysis difficult and when not properly addressed, it may lead to misleading conclusions. We provide clear illustrations of the problem using simulated data and discuss methods for analyzing the scope of the problem in real data from a learning system. We present the data collection problem as a variant of the explore-exploit tradeoff and analyze several algorithms for addressing this tradeoff.
Links
| MUNI/A/1018/2018, interní kód MU |
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| MUNI/A/1040/2018, interní kód MU |
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