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Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.

S. Karumbaiah, S. Dabholkar, J. Shim, S. Yoon, B. Chandy, and A. Ye. CSCL, International Society of the Learning Sciences, (2019)

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Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining.J. Matayoshi, and S. Karumbaiah. EDM, International Educational Data Mining Society, (2021)Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions.J. Matayoshi, and S. Karumbaiah. LAK, page 449-455. ACM, (2021)Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System.R. Tywoniw, S. Crossley, J. Ocumpaugh, S. Karumbaiah, and R. Baker. AIED (2), volume 12164 of Lecture Notes in Computer Science, page 329-333. Springer, (2020)Optimizing Parameters for Accurate Position Data Mining in Diverse Classrooms Layouts.T. Shou, C. Borchers, S. Karumbaiah, and V. Aleven. EDM, International Educational Data Mining Society, (2023)Affect Sequences and Learning in Betty's Brain.J. Andres, J. Ocumpaugh, R. Baker, S. Slater, L. Paquette, Y. Jiang, S. Karumbaiah, N. Bosch, A. Munshi, A. Moore and 1 other author(s). LAK, page 383-390. ACM, (2019)A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom.S. Karumbaiah, C. Borchers, T. Shou, A. Falhs, P. Liu, T. Nagashima, N. Rummel, and V. Aleven. AIED, volume 13916 of Lecture Notes in Computer Science, page 450-462. Springer, (2023)How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy.S. Karumbaiah, R. Baker, Y. Tao, and Z. Liu. LAK, page 24-33. ACM, (2022)Predicting Quitting in Students Playing a Learning Game.S. Karumbaiah, R. Baker, and V. Shute. EDM, International Educational Data Mining Society (IEDMS), (2018)Multimodal Analytics for Collaborative Teacher Reflection of Human-AI Hybrid Teaching: Design Opportunities and Constraints.S. Karumbaiah, P. Liu, A. Maksimova, L. Vylder, N. Rummel, and V. Aleven. EC-TEL, volume 14200 of Lecture Notes in Computer Science, page 580-585. Springer, (2023)Four paradigms in learning analytics: Why paradigm convergence mattersR. Baker, D. Gašević, and S. Karumbaiah. Computers and Education: Artificial Intelligence, (2021)

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Disambiguation of "Karumbaiah, Shamya"

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Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.

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Using Participatory Design to Facilitate In-service Teacher Learning of Computational Thinking.