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

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978-3-030-23203-0Springer Nature Switzerland AG 2019

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Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks,d testing the Bayesian model from the bootstrapped time series data. The prediction results were improved dramatically, especially for the minority class, which was for identifying the high risk of failing students.

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A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Genericles, gives robust performance across all datasets, (ii) questions collected in educational settings feature a more diverse set of source sentences than those obtained in non-educational settings, and (iii) more research efforts are needed to further improve the design of educational question gener

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Effect of Discrete and Continuous Parameter Variation on Difficulty in Automatic Item Generation, upward force vs. downward force). Through manual review of the problems with significant difficulty variance, we found it was, in general, easy to understand the source of the variance once the data were presented. These results suggest that the use of automatic item generation by college faculty i

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Autonomy and Types of Informational Text Presentations in Game-Based Learning Environments,sented as books and research articles, as well as in the form of participant conversation with NPCs throughout the environment. Results indicated significantly greater proportional learning gain (PLG) for participants in the partial agency condition than in the full agency condition. Additionally, l

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Examining Gaze Behaviors and Metacognitive Judgments of Informational Text Within Game-Based Learnignificant predictors of participants’ proportional learning gains (PLGs) after problem solving with CI. Additionally, we found significant differences in PLGs where participants who spent a greater time fixating and reengaging with goal-relevant text within the environment demonstrated greater propo