Experimental Evaluation of Similarity Measures for Educational
Items

D 2021

Experimental Evaluation of Similarity Measures for Educational Items

ČECHÁK, Jaroslav a Radek PELÁNEK

Základní údaje

Originální název

Experimental Evaluation of Similarity Measures for Educational Items

Autoři

ČECHÁK, Jaroslav (203 Česká republika, domácí) a Radek PELÁNEK (203 Česká republika, domácí)

Vydání

Neuveden, Proceedings of the 14th International Conference on Educational Data Mining, od s. 553-558, 6 s. 2021

Nakladatel

Neuveden

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14330/21:00122016

Organizační jednotka

Fakulta informatiky

ISBN

978-1-7336736-2-4

Klíčová slova anglicky

item similarity; evaluation; generalizability

Štítky

core_B, firank_B

Změněno: 14. 5. 2024 15:12, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1573/2020, interní kód MU

Název: Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Investor: Masarykova univerzita, Aplikovaný výzkum: vyhledávání, analýza a vizualizace rozsáhlých dat, zpracování přirozeného jazyka, umělá inteligence pro analýzu biomedicínských obrazů.

Citovat

ČECHÁK, Jaroslav a Radek PELÁNEK. Experimental Evaluation of Similarity Measures for Educational Items. Online. In I-Han Hsiao, Shaghayegh Sahebi, François Bouchet, Jill-Jênn Vie. Proceedings of the 14th International Conference on Educational Data Mining. Neuveden: Neuveden, 2021, s. 553-558. ISBN 978-1-7336736-2-4.

@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 a 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, s.~553-558. ISBN~978-1-7336736-2-4.

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