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Predicting Student Self-regulation Strategies in Game-Based Learning Environments.

J. Sabourin, L. Shores, B. Mott, и J. Lester. ITS, том 7315 из Lecture Notes in Computer Science, стр. 141-150. Springer, (2012)

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Claudius Mott

Bradford Heap

Raimund Mott

Ludwig Mott

Gabriele Mott

Другие публикации лиц с тем же именем

Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs.W. Min, K. Park, J. Wiggins, B. Mott, E. Wiebe, K. Boyer, и J. Lester. AIED (2), том 11626 из Lecture Notes in Computer Science, стр. 195-200. Springer, (2019)Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments.J. Wiggins, M. Kulkarni, W. Min, K. Boyer, B. Mott, E. Wiebe, и J. Lester. AIED (2), том 11626 из Lecture Notes in Computer Science, стр. 314-318. Springer, (2019)Multimodal CS Education Using a Scaffolded CSCL Environment.R. Monahan, J. Vandenberg, A. Gupta, A. Smith, R. Elsayed, K. Fox, A. Cheuoua, C. Ringstaff, J. Minogue, K. Oliver и 1 other автор(ы). ITiCSE (2), стр. 645. ACM, (2023)A Data-Driven Approach to Automatically Assessing Concept-Level CS Competencies Based on Student Programs.B. Akram, H. Azizolsoltani, W. Min, E. Wiebe, A. Navied, B. Mott, K. Boyer, и J. Lester. CSEDM@EDM, том 2734 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning.N. Henderson, H. Acosta, W. Min, B. Mott, T. Lord, F. Reichsman, C. Dorsey, E. Wiebe, и J. Lester. EDM, International Educational Data Mining Society, (2022)Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models.J. Sabourin, B. Mott, и J. Lester. EDM, стр. 156-159. www.educationaldatamining.org, (2012)Sensor-based Data Fusion for Multimodal Affect Detection in Game-based Learning Environments.N. Henderson, J. Rowe, B. Mott, и J. Lester. EDM (Workshops), том 2592 из CEUR Workshop Proceedings, стр. 44-50. CEUR-WS.org, (2019)Automated Assessment of Computer Science Competencies from Student Programs with Gaussian Process Regression.B. Akram, H. Azizsoltani, W. Min, E. Wiebe, B. Mott, A. Navied, K. Boyer, и J. Lester. EDM, International Educational Data Mining Society, (2020)Empowering All Students: Closing the CS Confidence Gap with an In-School Initiative for Middle School Students.P. Buffum, M. Frankosky, K. Boyer, E. Wiebe, B. Mott, и J. Lester. SIGCSE, стр. 382-387. ACM, (2016)Cluster-Based Analysis of Novice Coding Misconceptions in Block-Based Programming.A. Emerson, A. Smith, F. Rodríguez, E. Wiebe, B. Mott, K. Boyer, и J. Lester. SIGCSE, стр. 825-831. ACM, (2020)

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