Reza Feyzi Behnagh
Title
Cited by
Cited by
Year
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
1732013
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
1512012
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
822013
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
752018
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
742016
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
652012
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
572014
Dysregulated Learning with Advanced Learning Technologies.
R Azevedo, R Feyzi-Behnagh
AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010
522010
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
422019
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
142011
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
112014
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
82013
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
82012
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
72020
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
72020
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
62012
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
52012
Relaxed clustered Hawkes process for procrastination modeling in MOOCs
M Yao, S Zhao, S Sahebi, RF Behnagh
arXiv preprint arXiv:2102.00093, 2020
32020
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
32016
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
32014
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Articles 1–20