Michelle Taub
Michelle Taub
Assistant Professor of Learning Sciences and Educational Research, University of Central Florida
Verified email at ucf.edu
TitleCited byYear
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
932014
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
552012
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, SA Martin, JF Grafsgaard
Handbook of self-regulation of learning and performance, 254-270, 2018
282018
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
282016
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
272017
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
272017
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
252018
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, 2017
212017
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
152017
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
112016
Technologies supporting self-regulated learning
R Azevedo, M Taub, N Mudrick
The SAGE Encyclopedia of educational technology, 731-734, 2015
112015
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
102017
Impact of individual differences on affective reactions to pedagogical agents scaffolding
S Lallé, NV Mudrick, M Taub, JF Grafsgaard, C Conati, R Azevedo
International Conference on Intelligent Virtual Agents, 269-282, 2016
82016
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
72019
Transitioning self-regulated learning profiles in hypermedia-learning environments
C Lau, J Sinclair, M Taub, R Azevedo, EE Jang
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
72017
Coupling between Metacognition and Emotions during STEM Learning with Advanced Learning Technologies: A Critical Analysis, Implications for Future Research, and Design of …
R Azevedo, N Mudrick, M Taub, F Wortha
Teachers College Record 119 (13), n13, 2017
72017
Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with Crystal Island
M Taub, NV Mudrick, R Azevedo, GC Millar, J Rowe, J Lester
International Conference on Intelligent Tutoring Systems, 240-246, 2016
72016
Using eye-tracking to determine the impact of prior knowledge on self-regulated learning with an adaptive hypermedia-learning environment
M Taub, R Azevedo
International Conference on Intelligent Tutoring Systems, 34-47, 2016
72016
CSCL and learning analytics: Opportunities to support social interaction, self-regulation and socially shared regulation
AF Wise, R Azevedo, K Stegmann, J Malmberg, CP Rosé, N Mudrick, ...
International Society of the Learning Sciences, Inc.[ISLS]., 2015
72015
A framework to understand the nature of co-regulated learning in human-pedagogical agent interactions
J Harley, M Taub, F Bouchet, R Azevedo
11th International Conference on Intelligent Tutoring Systems, Crete, 2012
72012
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