Titlebook: Artificial Intelligence in Education; 21st International C Ig Ibert Bittencourt,Mutlu Cukurova,Eva Millán Conference proceedings 2020 Sprin

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Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storye have developed a high fidelity prototype of FIRST using 10 years of student data in our College. As part of our iterative design process, we performed a focus group study with six advisors following a demonstration of the prototype. Our focus group evaluation highlights the sensemaking value in th

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MACER: A Modular Framework for Accelerated Compilation Error Repairsuperior error correction, but also much faster training and prediction. On a benchmark dataset of 4K buggy programs collected from actual student submissions, . outperforms existing methods by 20% at suggesting fixes for popular errors while being competitive or better at other errors. . offers a t

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Using Motion Sensors to Understand Collaborative Interactions in Digital Fabrication Labsn that successful projects in makerspaces necessitate both individual and group efforts. Furthermore, such aggregation and display of information can aid instructors in uncovering the state of student learning in makerspaces. Identifying the instances and diversity of collaborative interactions affo

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To Tailor or Not to Tailor Gamification? An Analysis of the Impact of Tailored Game Elements on Leararn mathematics can improve intrinsic motivation. Finally, we show that tailoring to both player type and motivation profiles can improve intrinsic motivation, and decrease amotivation, compared to a single adaptation only based on learner motivation. We discuss the implications of our findings rega