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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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