Michelle Taub
Michelle Taub
Assistant Professor of Learning Sciences and Educational Research, University of Central Florida
Verified email at ucf.edu
Title
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
1312014
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
592018
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
592012
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
532017
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
442016
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
422017
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
382017
Using multi-channel trace data to infer and foster self-regulated learning between humans and advanced learning technologies
R Azevedo, M Taub, NV Mudrick, S Martin, J Grafsgaard
Handbook of self-regulation of learning and performance 2, 2018
332018
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
302017
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, 101200, 2019
252019
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
242020
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
202019
Self-regulation in computer-assisted learning systems.
R Azevedo, NV Mudrick, M Taub, AE Bradbury
Cambridge University Press, 2019
202019
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
192016
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
172019
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
172017
Technologies supporting self-regulated learning
R Azevedo, M Taub, N Mudrick
The SAGE Encyclopedia of educational technology, 731-734, 2015
152015
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
132018
The role of negative emotions and emotion regulation on self-regulated learning with metatutor
MJ Price, NV Mudrick, M Taub, R Azevedo
international conference on intelligent tutoring systems, 170-179, 2018
132018
The impact of student individual differences and visual attention to pedagogical agents during learning with MetaTutor
S Lallé, M Taub, NV Mudrick, C Conati, R Azevedo
International conference on artificial intelligence in education, 149-161, 2017
132017
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