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Michelle Taub
Michelle Taub
Assistant Professor of Learning Sciences and Educational Research, University of Central Florida
Verified email at ucf.edu
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Cited by
Cited by
Year
Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments?
M Taub, R Azevedo, F Bouchet, B Khosravifar
Computers in Human Behavior 39, 356-367, 2014
1642014
The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment
M Taub, R Sawyer, A Smith, J Rowe, R Azevedo, J Lester
Computers & Education 147, 103781, 2020
1032020
Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies
R Azevedo, M Taub, NV Mudrick
Handbook of self-regulation of learning and performance, 254-270, 2017
872017
Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
M Taub, R Azevedo, AE Bradbury, GC Millar, J Lester
Learning and instruction 54, 93-103, 2018
832018
The effectiveness of pedagogical agents’ prompting and feedback in facilitating co-adapted learning with MetaTutor
R Azevedo, RS Landis, R Feyzi-Behnagh, M Duffy, G Trevors, JM Harley, ...
International conference on intelligent tutoring systems, 212-221, 2012
782012
How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system?
M Taub, R Azevedo, R Rajendran, EB Cloude, G Biswas, MJ Price
Learning and Instruction 72, 101200, 2021
712021
Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with Crystal Island
M Taub, NV Mudrick, R Azevedo, GC Millar, J Rowe, J Lester
Computers in Human Behavior 76, 641-655, 2017
612017
Using data visualizations to foster emotion regulation during self-regulated learning with advanced learning technologies
R Azevedo, M Taub, NV Mudrick, GC Millar, AE Bradbury, MJ Price
Informational environments, 225-247, 2017
592017
Are pedagogical agents’ external regulation effective in fostering learning with intelligent tutoring systems?
R Azevedo, SA Martin, M Taub, NV Mudrick, GC Millar, JF Grafsgaard
International conference on intelligent tutoring systems, 197-207, 2016
552016
How does prior knowledge influence eye fixations and sequences of cognitive and metacognitive SRL processes during learning with an intelligent tutoring system?
M Taub, R Azevedo
International Journal of Artificial Intelligence in Education 29 (1), 1-28, 2019
512019
Let's set up some subgoals: Understanding human-pedagogical agent collaborations and their implications for learning and prompt and feedback compliance
JM Harley, M Taub, R Azevedo, F Bouchet
IEEE Transactions on Learning Technologies 11 (1), 54-66, 2017
502017
Using multi-channel trace data to infer and foster self-regulated learning between humans and advanced learning technologies
R Azevedo, M Taub, NV Mudrick, SA Martin, J Grafsgaard
Handbook of self-regulation of learning and performance 2, 2018
472018
Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning
NV Mudrick, R Azevedo, M Taub
Computers in Human Behavior 96, 223-234, 2019
402019
Self-regulation in computer-assisted learning systems.
R Azevedo, NV Mudrick, M Taub, AE Bradbury
Cambridge University Press, 2019
392019
Emotion recognition with facial expressions and physiological signals
B Zhong, Z Qin, S Yang, J Chen, N Mudrick, M Taub, R Azevedo, ...
2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017
332017
Interdisciplinary research methods used to investigate emotions with advanced learning technologies
R Azevedo, M Taub, N Mudrick, J Farnsworth, SA Martin
Methodological advances in research on emotion and education, 231-243, 2016
332016
Multiple negative emotions during learning with digital learning environments–Evidence on their detrimental effect on learning from two methodological approaches
F Wortha, R Azevedo, M Taub, S Narciss
Frontiers in psychology 10, 2678, 2019
302019
Using Sequence Mining to Analyze Metacognitive Monitoring and Scientific Inquiry Based on Levels of Efficiency and Emotions during Game-Based Learning.
M Taub, R Azevedo
Journal of Educational Data Mining 10 (3), 1-26, 2018
302018
The impact of contextualized emotions on self-regulated learning and scientific reasoning during learning with a game-based learning environment
M Taub, R Sawyer, J Lester, R Azevedo
International Journal of Artificial Intelligence in Education 30 (1), 97-120, 2020
292020
Self-regulation and reflection during game-based learning
M Taub, R Azevedo, AE Bradbury, NV Mudrick
Handbook of game-based learning 239, 2020
262020
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