| A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system JM Harley, F Bouchet, MS Hussain, R Azevedo, R Calvo Computers in Human Behavior 48, 615-625, 2015 | 260 | 2015 |
| 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 | 233 | 2013 |
| 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 | 220 | 2014 |
| Clustering and profiling students according to their interactions with an intelligent tutoring system fostering self-regulated learning F Bouchet, JM Harley, GJ Trevors, R Azevedo JEDM-Journal of Educational Data Mining 5 (1), 104-146, 2013 | 165 | 2013 |
| Lessons learned and future directions of MetaTutor: Leveraging multichannel data to scaffold self-regulated learning with an intelligent tutoring system R Azevedo, F Bouchet, M Duffy, J Harley, M Taub, G Trevors, E Cloude, ... Frontiers in Psychology 13, 813632, 2022 | 140 | 2022 |
| 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 | 112 | 2016 |
| 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, ... Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 96 | 2013 |
| 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, ... Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012 | 89 | 2012 |
| Principles for music creation by novices in networked music environments EM Miletto, MS Pimenta, F Bouchet, JP Sansonnet, D Keller Journal of New Music Research 40 (3), 205-216, 2011 | 77 | 2011 |
| Identifying Students’ Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning F Bouchet, R Azevedo, JS Kinnebrew, G Biswas Proceedings of the 5th International Conference on Educational Data Mining …, 2012 | 74 | 2012 |
| 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 | 68 | 2017 |
| Examining the predictive relationship between personality and emotion traits and students’ agent-directed emotions: towards emotionally-adaptive agent-based learning environments JM Harley, CK Carter, N Papaionnou, F Bouchet, RS Landis, R Azevedo, ... User Modeling and User-Adapted Interaction 26, 177-219, 2016 | 67 | 2016 |
| Does a peer recommender foster students' engagement in MOOCs? H Labarthe, F Bouchet, R Bachelet, K Yacef 9th international conference on educational data mining, 418-423, 2016 | 61 | 2016 |
| Aligning and comparing data on emotions experienced during learning with MetaTutor JM Harley, F Bouchet, R Azevedo Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 58 | 2013 |
| Exploring digital transformation in higher education and research via scenarios M Barzman, M Gerphagnon, G Aubin-Houzelstein, GL Baron, A Benard, ... Journal of Futures Studies 25 (3), 65-78, 2021 | 45 | 2021 |
| Can adaptive pedagogical agents’ prompting strategies improve students’ learning and self-regulation? F Bouchet, JM Harley, R Azevedo Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016 | 45 | 2016 |
| Impact of agent’s answers variability on its believability and human-likeness and consequent chatbot improvements M Xuetao, F Bouchet, JP Sansonnet Proc. of AISB, 31-36, 2009 | 41 | 2009 |
| Measuring learners’ co-occurring emotional responses during their interaction with a pedagogical agent in MetaTutor JM Harley, F Bouchet, R Azevedo Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012 | 36 | 2012 |
| How do online learning intentions lead to learning outcomes? The mediating effect of the autotelic dimension of flow in a MOOC R Chaker, F Bouchet, R Bachelet Computers in Human Behavior 134, 107306, 2022 | 28 | 2022 |
| Impact of different pedagogical agents’ adaptive self-regulated prompting strategies on learning with MetaTutor F Bouchet, JM Harley, R Azevedo Artificial Intelligence in Education: 16th International Conference, AIED …, 2013 | 28 | 2013 |
Roger AzevedoUniversity of Central FloridaZweryfikowany adres z ucf.edu