Titlebook: Artificial Intelligence in Education; 20th International C Seiji Isotani,Eva Millán,Rose Luckin Conference proceedings 2019 Springer Nature

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https://doi.org/10.1057/9780230116016. However, students typically fail to construct complete models. In order to identify ways to support learners without restricting them, we look at the literature of Productive Failure and Invention activities (often termed PS-I, Problem Solving before Instruction). PS-I activities are designed to f

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https://doi.org/10.1057/9780230116016 from 58 students while problem solving in a game-based learning environment. Results suggest students with different goal orientations use metacognitive processes differently but found no differences in learning. Findings have implications for measuring motivation using multiple data channels to de

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Ergebnisse der empirischen Untersuchung,ented by continuous variables which influence the individual’s performance on a test. Item response theory (IRT) models structure this relation, defining specific functions between the knowledge of the individual, and the probability of answering an item correctly. Previous research implies that neu