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An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms.

, , , и . CSEDU (2), стр. 139-146. SCITEPRESS, (2022)

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Другие публикации лиц с тем же именем

Go with the Flow: Personalized Task Sequencing Improves Online Language Learning., , , и . AIED, том 13916 из Lecture Notes in Computer Science, стр. 90-101. Springer, (2023)An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms., , , и . CSEDU (2), стр. 139-146. SCITEPRESS, (2022)Adaptive Learning as a Service - A concept to extend digital learning platforms?, , , и . DELFI, том P-322 из LNI, стр. 237-238. Gesellschaft für Informatik e.V., (2022)Energy Consumption of AI in Education: A Case Study., , , , и . DELFI, том P-338 из LNI, стр. 35. Gesellschaft für Informatik e.V., (2023)What you apply is not what you learn! Examining students' strategies in German capitalization tasks., , и . EDM, International Educational Data Mining Society, (2021)Transforming First Language Learning Platforms towards Adaptivity and Fairness (Models, Interventions and Architecture). HU Berlin, Germany, (2023)base-search.net (fthuberlin:oai:edoc.hu-berlin.de:18452/28153).Show me the numbers! - Student-facing Interventions in Adaptive Learning Environments for German Spelling., , , , и . DELFI, том P-338 из LNI, стр. 59. Gesellschaft für Informatik e.V., (2023)Fairness of In-session Dropout Prediction., , , и . CSEDU (2), стр. 316-326. SCITEPRESS, (2022)Keep It Up: In-session Dropout Prediction to Support Blended Classroom Scenarios., , , и . CSEDU (2), стр. 131-138. SCITEPRESS, (2022)