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Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
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…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Yoshida, Reiko – Language Awareness, 2008
Corrective feedback (CF) has been investigated in relation to learners' error types that trigger CF and learners' responses to CF. These research findings generally suggest that recasts, the most frequently used type of CF, did not trigger learners' reformulation of their erroneous utterances very frequently. In these studies, however, teachers'…
Descriptors: Feedback (Response), Error Correction, Error Patterns, Japanese