François Bouchet

Francesco Ragone, Jeroen Wouters, Freddy Bouchet. Computation of extreme heat waves in climate models using a large deviation algorithm. Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2018, 115 (1), pp.24-29. 〈10.1073/pnas.1712645115〉. 〈hal-01584944v2〉

Freddy Bouchet, J Marston, T Tangarife. Fluctuations and large deviations of Reynolds' stresses in zonal jet dynamics. Physics of Fluids, American Institute of Physics, 2017. 〈hal-01539732v2〉

Eric Woillez, Freddy Bouchet. Barotropic theory for the velocity profile of Jupiter turbulent jets: an example for an exact turbulent closure. Journal of Fluid Mechanics, Cambridge University Press (CUP), In press. 〈hal-01659569v1〉

Jason M. Harley, Cassia K. Carter, Niki Papaioannou, François Bouchet, Ronald S. Landis, et al.. Examining the predictive relationship between personality and emotion traits and students' agent-directed emotions: towards emotionally-adaptive agent-based learning environments. User Modeling and User-Adapted Interaction, Springer Verlag, 2016, 26 (2), pp.177-219. 〈http://link.springer.com/article/10.1007/s11257-016-9169-7〉. 〈10.1007/s11257-016-9169-7〉. 〈hal-01340595〉

Gregory Trevors, Reza Feyzi-Behnagh, Roger Azevedo, François Bouchet. Self-Regulated Learning Processes Vary as a Function of Epistemic Beliefs and Contexts: Mixed Method Evidence from Eye Tracking and Concurrent and Retrospective Reports. Learning and Instruction, Elsevier, 2016, 42, pp.31-46. 〈10.1016/j.learninstruc.2015.11.003〉. 〈hal-01340592〉

Jason M. Harley, François Bouchet, M. Sazzad Hussain, Roger Azevedo, Rafael A. Calvo. A Multi-Componential Analysis of Emotions during Complex Learning with an Intelligent Multi-agent System. Computers in Human Behavior, Elsevier, 2015, 48, pp.615--625. 〈10.1016/j.chb.2015.02.013〉. 〈hal-01340608〉

Michelle Taub, Roger Azevedo, François Bouchet, Babak Khosravifar. Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments?. Computers in Human Behavior, Elsevier, 2014, 39, pp.356--367. 〈10.1016/j.chb.2014.07.018〉. 〈hal-01174794〉

François Bouchet, Jean-Paul Sansonnet. Agents Conversationnels Psychologiques : Modélisation des réactions rationnelles et comportementales des agents assistants conversationnels. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2013, 27 (6), pp.679-708. 〈10.3166/ria.27.679-708〉. 〈hal-01174633〉

Fatima Harrak, François Bouchet, Vanda Luengo, Pierre Gillois. Profiling Students from Their Questions in a Blended Learning Environment. LAK '18 - 8th International Conference on Learning Analytics and Knowledge , Mar 2018, Sydney, Australia. ACM, pp.102-110, 2018, 〈10.1145/3170358.3170389〉. 〈hal-01714182〉

Baptiste Monterrat, François Bouchet, Elise Lavoué, Vanda Luengo. Vers une adaptation des apprentissages générique et multi-aspects. ORPHEE-RDV 2017 Atelier "Personnalisation et adaptation dans les environnements d'apprentissage : un regard interdisciplinaire sur les perspectives de recherche" - , Jan 2017, Font-Romeu, France. 〈https://orpheerdvperso.wordpress.com/〉. 〈hal-01523750〉

Gorgoumack Sambe, François Bouchet, Jean-Marc Labat. Towards a conceptual framework to scaffold self-regulation in a MOOC. Sixième Colloque National sur la Recherche en Informatique et ses Applications, CNRIA 2017, Apr 2017, Dakar, Senegal. Springer, 204, pp.245-256, 2017, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 〈10.1007/978-3-319-72965-7_23〉. 〈hal-01508523〉

François Bouchet, Hugues Labarthe, Kalina Yacef, Rémi Bachelet. Comparing Peer Recommendation Strategies in a MOOC. The 4th international workshop on Educational Recommender Systems, Jul 2017, Bratislava, Slovakia. UMAP’17 Adjunct, 〈https://edrecsys2017.wordpress.com/〉. 〈10.1145/3099023.3099036〉. 〈hal-01531503〉

Baptiste Monterrat, Amel Yessad, François Bouchet, Elise Lavoué, Vanda Luengo. MAGAM : Un modèle générique pour l’adaptation multi-aspects dans les EIAH. Environnements Informatiques pour l'Apprentissage Humain, Jun 2017, Strasbourg, France. pp.29-40, 2017, EIAH 2017. 〈http://eiah2017.unistra.fr/〉. 〈hal-01517137〉

Fatima Harrak, François Bouchet, Vanda Luengo. Identifying relationships between students' questions type and their behavior. 10th International Conference on Educational Data Mining, Jun 2017, Wuhan, China. 〈http://educationaldatamining.org/EDM2017/〉. 〈hal-01525285〉

Baptiste Monterrat, Amel Yessad, François Bouchet, Elise Lavoué, Vanda Luengo. MAGAM: A Multi-Aspect Generic Adaptation Model for Learning Environments. European Conference on Technology Enhanced Learning (EC-TEL 2017), Sep 2017, Tallinn, Estonia. Springer International Publishing, 10474, pp.139-152, 2017, Lecture Notes in Computer Science. 〈http://www.ec-tel.eu/index.php?id=777〉. 〈10.1007/978-3-319-66610-5_11〉. 〈hal-01578380〉

Niki Papaioannou, Ronald S. Landis, Cassia K. Carter, Roger Azevedo, François Bouchet, et al.. Computer-based Learning Environments in Organizational Training: Impact of Learning Environment and Personality. 28th Annual Convention of the Association for Psychological Science, May 2016, Chicago, United States. 2016, 〈http://www.psychologicalscience.org/index.php/convention/2016-program〉. 〈hal-01376425〉

Hugues Labarthe, Rémi Bachelet, François Bouchet, Kalina Yacef. Increasing MOOC completion rates through social interactions: a recommendation system. EMOOCS 2016 CONFERENCE. FOURTH EUROPEAN MOOCS STAKEHOLDERS SUMMIT, Feb 2016, Graz, Austria. pp.471-480, 〈http://emoocs2016.eu/〉. 〈hal-01277664〉

Hugues Labarthe, François Bouchet, Rémi Bachelet, Kalina Yacef. Does a Peer Recommender Foster Students' Engagement in MOOCs?. International Educational Data Mining Society (IEDMS). 9th International Conference on Educational Data Mining, Jun 2016, Raleigh, United States. Proceedings of the 9th International Conference on Educational Data Mining, pp.418-423, 〈http://www.educationaldatamining.org/EDM2016/〉. 〈hal-01376431〉

Reza Feyzi-Behnagh, Roger Azevedo, François Bouchet, Yan Tian. The role of an open learner model and immediate feedback on metacognitive calibration in MetaTutor. The 2016 Annual meeting of the American Educational Research Association, Apr 2016, Washington, DC, United States. The 2016 Annual meeting of the American Educational Research Association. 〈hal-01340594〉

Jason M. Harley, Cassia K. Carter, Niki Papaioannou, François Bouchet, Ronald S. Landis, et al.. Examining the predictive relationship between personality and emotion traits and learners’ agent-directed emotions. The 17th Conference on Artificial Intelligence in Education (AIED 2015), Jun 2015, Madrid, Spain. Springer International Publishing, Proc. of the 17th Conference on Artificial Intelligence in Education (AIED 2015), 9112, pp.145--154, Lecture Notes in Artificial Intelligence. 〈10.1007/978-3-319-19773-9_15〉. 〈hal-01340609〉

Nicholas Mudrick, Roger Azevedo, Michelle Taub, François Bouchet. Does the Frequency of Pedagogical Agent Intervention Relate to Learners' Self-Reported Boredom while using Multi-Agent Intelligent Tutoring Systems?. The 37th Annual Meeting of the Cognitive Science Society, Jul 2015, Pasadena, CA, United States. Proc. of the 37th Annual Meeting of the Cognitive Science Society, pp.1661-1666, 2015. 〈hal-01340605〉

François Bouchet, Rémi Bachelet. Do MOOC students come back for more? Recurring Students in the GdP MOOC. The European MOOCs Stakeholders Summit 2015, May 2015, Mons, Belgium. Proc. of the European MOOCs Stakeholders Summit 2015, pp.174--182. 〈hal-01340611〉

Jason M. Harley, François Bouchet, M. Sazzad Hussain, Roger Azevedo, Rafael A. Calvo. A Multi-Componential Analysis of Emotions during Complex Learning with an Intelligent Multi-Agent System. The 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States. 〈hal-01217164〉

Melissa Duffy, Roger Azevedo, Sarkis Meterissian, François Bouchet. VirtualSelf: A computer-based learning environment for patient education using physiological and trace data. IIE Annual 2014, Jun 2014, Montreal, QC, Canada. 〈hal-01217198〉

John Ranellucci, François Bouchet, Eric G. Poitras, Susanne P. Lajoie, Roger Azevedo. An analysis of emotions in educationally relevant tweets. The 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States. 〈hal-01217169〉

Jason M. Harley, François Bouchet, Niki Papaioannou, Cassia Carter, Gregory J. Trevors, et al.. Assessing Learning with {MetaTutor}, a Multi-Agent Hypermedia Learning Environment. The 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States. 〈hal-01217167〉

Nicholas Mudrick, Roger Azevedo, Michelle Taub, Reza Feyzi-Behnagh, François Bouchet. A Study of subjective emotions, self-regulatory processes, and learning gains: are pedagogical agents effective in fostering learning?. Learning and becoming in practice : The International Conference of the Learning Sciences (ICLS) 2014, Jun 2014, Boulder, CO, United States. International Society of the Learning Sciences, 1, pp.309-316. 〈hal-01217178〉

Michelle Taub, Roger Azevedo, Nicholas Mudrick, Erika Clodfelter, François Bouchet. Can scaffolds from pedagogical agents influence effective completion of sub-goals during learning with Metatutor?. Learning and becoming in practice : The International Conference of the Learning Sciences (ICLS) 2014, Jun 2014, Boulder, CO, United States. International Society of the Learning Sciences, 2, pp.1052-1056. 〈hal-01217188〉

Jean-Paul Sansonnet, François Bouchet. A Framework Covering the Influence of {FFM}/{NEO} {PI}-R Traits over the Dialogical Process of Rational Agents. 5th International Conference on Agents and Artificial Intelligence, ICAART 2013, Feb 2013, Barcelona, Spain. Springer, 449, pp.62-79, 2014, Communications in Computer and Information Science. 〈10.1007/978-3-662-44440-5_4〉. 〈hal-01219845〉

John Ranellucci, Eric Poitras, François Bouchet, Susanne Lajoie, Nathan Hall. Understanding Emotional Expressions in Social Media through Data Mining. Tettegah, Sharon Y. Emotions, Technology, and Social Media, Academic Press, pp.85-104, 2016, 978-0-12-801857-6. 〈10.1016/B978-0-12-801857-6.00005-1〉. 〈hal-01373363〉

François Bouchet. Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant. Informatique [cs]. Université Paris Sud - Paris XI, 2010. Français. 〈tel-00607298〉