PELÁNEK, Radek, Tomáš EFFENBERGER a Adam KUKUČKA. Towards Design-Loop Adaptivity: Identifying Items for Revision. Journal of Educational Data Mining. International Educational Data Mining Society, 2022, roč. 14, č. 3, s. 1-25. ISSN 2157-2100. Dostupné z: https://dx.doi.org/10.5281/zenodo.7357331. |
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@article{2259757, author = {Pelánek, Radek and Effenberger, Tomáš and Kukučka, Adam}, article_number = {3}, doi = {http://dx.doi.org/10.5281/zenodo.7357331}, keywords = {learning environment; outliers; anomaly detection; interpretability; reliability; difficulty; content analysis; attention-worthiness}, language = {eng}, issn = {2157-2100}, journal = {Journal of Educational Data Mining}, title = {Towards Design-Loop Adaptivity: Identifying Items for Revision}, url = {https://jedm.educationaldatamining.org/index.php/JEDM/article/view/600}, volume = {14}, year = {2022} }
TY - JOUR ID - 2259757 AU - Pelánek, Radek - Effenberger, Tomáš - Kukučka, Adam PY - 2022 TI - Towards Design-Loop Adaptivity: Identifying Items for Revision JF - Journal of Educational Data Mining VL - 14 IS - 3 SP - 1-25 EP - 1-25 PB - International Educational Data Mining Society SN - 21572100 KW - learning environment KW - outliers KW - anomaly detection KW - interpretability KW - reliability KW - difficulty KW - content analysis KW - attention-worthiness UR - https://jedm.educationaldatamining.org/index.php/JEDM/article/view/600 N2 - We study the automatic identification of educational items worthy of content authors’ attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and various forms of content representation. We analyze the potential usefulness of these properties using both simulation and analysis of real data from a large-scale learning environment. We also describe two case studies where we practically apply the identification of attention-worthy items. Based on the analysis and case studies, we provide recommendations for practice and impulses for further research. ER -
PELÁNEK, Radek, Tomáš EFFENBERGER a Adam KUKUČKA. Towards Design-Loop Adaptivity: Identifying Items for Revision. \textit{Journal of Educational Data Mining}. International Educational Data Mining Society, 2022, roč.~14, č.~3, s.~1-25. ISSN~2157-2100. Dostupné z: https://dx.doi.org/10.5281/zenodo.7357331.
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