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@article{1645576,
author = {Pelánek, Radek},
article_number = {2},
doi = {http://dx.doi.org/10.1109/TLT.2019.2896086},
keywords = {educational items; adaptive learning systems; item similarity measures; computation pipeline},
language = {eng},
issn = {1939-1382},
journal = {IEEE Transactions on Learning Technologies},
title = {Measuring Similarity of Educational Items: An Overview},
url = {https://ieeexplore.ieee.org/document/8629958},
volume = {13},
year = {2020}
}
TY - JOUR
ID - 1645576
AU - Pelánek, Radek
PY - 2020
TI - Measuring Similarity of Educational Items: An Overview
JF - IEEE Transactions on Learning Technologies
VL - 13
IS - 2
SP - 354-366
EP - 354-366
SN - 19391382
KW - educational items
KW - adaptive learning systems
KW - item similarity measures
KW - computation pipeline
UR - https://ieeexplore.ieee.org/document/8629958
L2 - https://ieeexplore.ieee.org/document/8629958
N2 - 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.
ER -
PELÁNEK, Radek. Measuring Similarity of Educational Items: An Overview. \textit{IEEE Transactions on Learning Technologies}. 2020, roč.~13, č.~2, s.~354-366. ISSN~1939-1382. Dostupné z: https://dx.doi.org/10.1109/TLT.2019.2896086.
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