Predicting University Students’ Exam Performance Using a Model-Based Adaptive Fact-Learning System
Abstract
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are well suited to tracing learners’ acquisition and forgetting of knowledge over time. Such models have...
Paper Details
Title
Predicting University Students’ Exam Performance Using a Model-Based Adaptive Fact-Learning System
Published Date
Jul 5, 2021
Volume
8
Issue
3
Pages
155 - 169
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