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Direct linkA. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
Timmermans, Anneke C.; Kuyper, Hans; Werf, Greetje – British Journal of Educational Psychology, 2015
Background: In several tracked educational systems, realizing optimal placements in classes in the first year of secondary education depends on the accuracy of teacher expectations. Aims: The aim of this study was to investigate between-teacher differences in their expectations regarding the academic aptitude of their students. Sample: The sample…
Descriptors: Foreign Countries, Teacher Expectations of Students, Accuracy, Bias
