PELÁNEK, Radek. Measuring Similarity of Educational Items: An Overview. IEEE Transactions on Learning Technologies. 2020, vol. 13, No 2, p. 354-366. ISSN 1939-1382. Available from: https://dx.doi.org/10.1109/TLT.2019.2896086.
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Basic information
Original name Measuring Similarity of Educational Items: An Overview
Authors PELÁNEK, Radek (203 Czech Republic, guarantor, belonging to the institution).
Edition IEEE Transactions on Learning Technologies, 2020, 1939-1382.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10200 1.2 Computer and information sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.720
RIV identification code RIV/00216224:14330/20:00115524
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1109/TLT.2019.2896086
UT WoS 000545023500010
Keywords in English educational items; adaptive learning systems; item similarity measures; computation pipeline
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Radek Pelánek, Ph.D., učo 4297. Changed: 10/9/2021 07:57.
Abstract
A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify item similarity. We also discuss methods for analysis of similarity measures. For illustration and evaluation, we consider items from diverse domains, e.g., mathematics, programming, and language learning. Although there is no ultimate, universal approach to measuring item similarity, our overview leads to guidelines that facilitate computation of item similarity in practical applications.
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