Measuring Similarity of Educational Items: An Overview

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.

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

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Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

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Abstract

V originále

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.