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@inproceedings{1784377,
author = {Čechák, Jaroslav and Pelánek, Radek},
address = {Neuveden},
booktitle = {Proceedings of the 14th International Conference on Educational Data Mining},
editor = {I-Han Hsiao, Shaghayegh Sahebi, François Bouchet, Jill-Jênn Vie},
keywords = {item similarity; evaluation; generalizability},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-1-7336736-2-4},
pages = {553-558},
publisher = {Neuveden},
title = {Experimental Evaluation of Similarity Measures for Educational Items},
url = {https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf},
year = {2021}
}
TY - JOUR
ID - 1784377
AU - Čechák, Jaroslav - Pelánek, Radek
PY - 2021
TI - Experimental Evaluation of Similarity Measures for Educational Items
PB - Neuveden
CY - Neuveden
SN - 9781733673624
KW - item similarity
KW - evaluation
KW - generalizability
UR - https://educationaldatamining.org/EDM2021/EDM2021Proceedings.pdf
N2 - Measuring similarity of educational items has several applications in the development of adaptive learning systems, and previous research has already proposed a wide range of similarity measures. In this work, we provide an experimental evaluation of selected similarity measures using a large dataset. The used items are alternate-choice questions for the practice of English grammar for second language learners; the dataset contains thousands of items and over 10 million student answers. Our results provide warnings about the generalizability of results presented in EDM works: 1) the results vary significantly between knowledge components and 2) the size of available data is an important factor.
ER -
ČECHÁK, Jaroslav and Radek PELÁNEK. Experimental Evaluation of Similarity Measures for Educational Items. Online. In I-Han Hsiao, Shaghayegh Sahebi, Fran\c cois Bouchet, Jill-Jênn Vie. \textit{Proceedings of the 14th International Conference on Educational Data Mining}. Neuveden: Neuveden, 2021, p.~553-558. ISBN~978-1-7336736-2-4.
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