| Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agent systems R Azevedo, J Harley, G Trevors, M Duffy, R Feyzi-Behnagh, F Bouchet, ... International handbook of metacognition and learning technologies, 427-449, 2013 | 171 | 2013 |
| Metacognition and self-regulated learning in student-centered leaning environments R Azevedo, R Behnagh, M Duffy, J Harley, G Trevors Theoretical foundations of student-centered learning environments 22, 171-97, 2012 | 148 | 2012 |
| Inferring learning from gaze data during interaction with an environment to support self-regulated learning D Bondareva, C Conati, R Feyzi-Behnagh, JM Harley, R Azevedo, ... International Conference on Artificial Intelligence in Education, 229-238, 2013 | 82 | 2013 |
| Self-regulated learning processes vary as a function of epistemic beliefs and contexts: Mixed method evidence from eye tracking and concurrent and retrospective reports G Trevors, R Feyzi-Behnagh, R Azevedo, F Bouchet Learning and Instruction 42, 31-46, 2016 | 72 | 2016 |
| Towards Emotionally-Aware AI Smart Classroom: Current Issues and Directions for Engineering and Education Y Kim, T Soyata, R Feyzi Behnagh IEEE Access 6, 5308-5331, 2018 | 67 | 2018 |
| 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 | 64 | 2012 |
| Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoring system R Feyzi-Behnagh, R Azevedo, E Legowski, K Reitmeyer, E Tseytlin, ... Instructional science 42 (2), 159-181, 2014 | 56 | 2014 |
| Dysregulated Learning with Advanced Learning Technologies. R Azevedo, R Feyzi-Behnagh AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010 | 52 | 2010 |
| Emerging technologies as new tools for teaching and learning science: A literature review A Oliveira, R F. Behnagh, L Li, A Mohsinah, K Burgess, G Li Human Behavior and Emerging Technologies 1 (2), 149-160, 2019 | 37 | 2019 |
| An investigation of accuracy of metacognitive judgments during learning with an intelligent multi-agent hypermedia environment RF Behnagh, Z Khezri, R Azevedo Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011 | 14 | 2011 |
| Assessing learning with MetaTutor, a multi-agent hypermedia learning environment JM Harley, F Bouchet, N Papaioannou, C Carter, GJ Trevors, ... The 2014 Annual meeting of the American Educational Research Association, 2014 | 11 | 2014 |
| Using intelligent multi-agent systems to model and foster self-regulated learning: a theoretically-based approach using Markov decision process B Khosravifar, F Bouchet, R Feyzi-Behnagh, R Azevedo, JM Harley 2013 IEEE 27th International Conference on Advanced Information Networking …, 2013 | 8 | 2013 |
| Metacognition and self-regulated learning with advanced learning technologies R Azevedo, R Behnagh, M Duffy, J Harley, G Trevors Theoretical foundations of learning environments, 171-197, 2012 | 8 | 2012 |
| Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach M Yao, S Sahebi, R Feyzi Behnagh Proceedings of the 13th International Conference on Educational Data Mining, 2020 | 7 | 2020 |
| The effectiveness of a pedagogical agent’s immediate feedback on learners’ metacognitive judgments during learning with MetaTutor R Feyzi-Behnagh, R Azevedo International Conference on Intelligent Tutoring Systems, 651-652, 2012 | 6 | 2012 |
| An examination of constructivist educational technologies: Key affordances and conditions R Feyzi Behnagh, S Yasrebi British Journal of Educational Technology 51 (6), 1907-1919, 2020 | 5 | 2020 |
| MetaTutor: An Intelligent Multi-Agent Tutoring System Designed to Detect, Track, Model Foster Self-Regulated Learning R Azevedo, F Bouchet, JM Harley, R Feyzi-Behnagh, G Trevors, M Duffy, ... The Fourth Workshop on Self-Regulated Learning in Educational Technologies …, 2012 | 5 | 2012 |
| Relaxed clustered Hawkes process for procrastination modeling in MOOCs M Yao, S Zhao, S Sahebi, RF Behnagh arXiv preprint arXiv:2102.00093, 2020 | 3 | 2020 |
| The role of an open learner model and immediate feedback on metacognitive calibration in MetaTutor R Feyzi-Behnagh, R Azevedo, F Bouchet, Y Tian The 2016 Annual meeting of the American Educational Research Association, 2016 | 3 | 2016 |
| A Study of subjective emotions, self-regulatory processes, and learning gains: are pedagogical agents effective in fostering learning? N Mudrick, R Azevedo, M Taub, R Feyzi-Behnagh, F Bouchet Learning and becoming in practice: The International Conference of the …, 2014 | 3 | 2014 |
Tolga SoyataJohns Hopkins UniversityVerified email at jhu.edu
