Adapting tasks to learner characteristics is essential when selecting appropriate tasks for learners. This paper investigates how humans adapt exercise selection to learner self-esteem (SE) and performance, to allow a future Intelligent Tutoring System (ITS) to use these adaptations. Self esteem is an important factor in learning as it is a significant predictor of academic performance. Previous research adapts task selection to other characteristics e.g. past performance, but little work focuses on task selection based on learner personality.
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