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David E. Pritchard

Massachusetts Institute of Technology

430

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16654

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Examining the relation of correct knowledge and misconceptions using the nominal response model

2021
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Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service

2020 AIED | Artificial Intelligence in Education
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Deep Sequence Labelling Model for Information Extraction in Micro Learning Service

2020
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Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service.

2020 WISE | Web Information Systems Engineering
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Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features

2019 IEEE Transactions on Learning Technologies
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Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!

2019 International Journal of Artificial Intelligence in Education
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Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses.

2019 EDM | Educational Data Mining
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Mining Students Pre-instruction Beliefs for Improved Learning.

2019 Legal Studies
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From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning

2019 World Wide Web
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Mining Student Misconceptions from Pre- and Post-Testing Data.

2018 EDM | Educational Data Mining
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