| 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 | 109 | 2014 |
| 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 | 58 | 2012 |
| 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 | 35 | 2018 |
| 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 | 35 | 2017 |
| 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, 2018 | 33 | 2018 |
| 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 | 32 | 2016 |
| 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 | 29 | 2017 |
| 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 | 27 | 2018 |
| 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 | 22 | 2017 |
| 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 | 14 | 2016 |
| 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 | 12 | 2019 |
| Self-regulation in computer-assisted learning systems. R Azevedo, NV Mudrick, M Taub, AE Bradbury Cambridge University Press, 2019 | 12 | 2019 |
| 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 | 11 | 2017 |
| Technologies supporting self-regulated learning R Azevedo, M Taub, N Mudrick The SAGE Encyclopedia of educational technology, 731-734, 2015 | 11 | 2015 |
| 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 | 10 | 2017 |
| 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 | 9 | 2019 |
| 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 | 9 | 2019 |
| 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 | 9 | 2017 |
| 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 | 9 | 2016 |
| 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 | 9 | 2016 |
