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Titlebook: Adaptive Instructional Systems; 4th International Co Robert A. Sottilare,Jessica Schwarz Conference proceedings 2022 The Editor(s) (if appl

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發(fā)表于 2025-3-28 14:39:26 | 只看該作者
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發(fā)表于 2025-3-28 19:36:53 | 只看該作者
https://doi.org/10.1007/978-981-99-4113-1ked to atypical physiological responses and poor emotion regulation. Explorations of the differences in physiological response between autistic young adults and neurotypical young adults can provide meaningful information on stress responses in these populations and can be used to create adaptive sy
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發(fā)表于 2025-3-29 02:30:26 | 只看該作者
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發(fā)表于 2025-3-29 14:01:07 | 只看該作者
https://doi.org/10.1007/978-981-99-4113-1cted the attention of many researchers. This paper summarizes the main types of learning state that researchers pay attention to at present, including affect, engagement, attention, and cognitive load. Based on four typical learning scenarios: computer-based learning, mobile learning, traditional cl
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發(fā)表于 2025-3-29 19:14:38 | 只看該作者
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發(fā)表于 2025-3-29 21:44:50 | 只看該作者
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發(fā)表于 2025-3-30 02:45:52 | 只看該作者
https://doi.org/10.1007/978-981-99-0232-3nges associated with accurately assessing learner performance, deciding when and how to intervene with learner, and evaluating the effectiveness of any intervention (e.g., feedback, support, direction, change in content level of difficulty) delivered during adaptive instruction, and improving interv
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發(fā)表于 2025-3-30 07:08:34 | 只看該作者
Banach Algebra Techniques in Operator Theoryoices and engagement. In this paper, we discuss our efforts to engineer the rewards system of Kupei AI, an adaptive instructional system used by elementary and middle school students in afterschool programs to study English and Mathematics. Kupei AI’s rewards system was iteratively engineered across
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