François Bouchet
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
From student questions to student profiles in a blended learning environment
F Harrak, F Bouchet, V Luengo
Journal of Learning Analytics 6 (1), 54-84, 2019
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