François Bouchet

Fatima Harrak, François Bouchet, Vanda Luengo. From Student Questions to Student Profiles in a Blended Learning Environment. Journal of Learning Analytics, 2019, 6 (1), pp.54-84. ⟨10.18608/jla.2019.61.4⟩. ⟨hal-02100131⟩

Jason Harley, Michelle Taub, Roger Azevedo, François Bouchet. Let's Set Up Some Subgoals: Understanding Human-Pedagogical Agent Collaborations and Their Implications for Learning and Prompt and Feedback Compliance. IEEE Transactions on Learning Technologies, Institute of Electrical and Electronics Engineers, 2018, 11 (1), pp.54-66. ⟨10.1109/tlt.2017.2756629⟩. ⟨hal-02015700⟩

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, 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. ⟨10.1007/s11257-016-9169-7⟩. ⟨hal-01340595⟩

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⟩

Mathieu Vermeulen, Abir Karami, Anthony Fleury, François Bouchet, Nadine Mandran, et al.. APACHES: Human-Centered and Project-Based Methods in Higher Education. EC-TEL 2019 - 14th European Conference on Technology Enhanced Learning, Sep 2019, Delft, Netherlands. pp.683-687, ⟨10.1007/978-3-030-29736-7_66⟩. ⟨hal-02290443⟩

Fatima Harrak, François Bouchet, Vanda Luengo. Categorizing students' questions using an ensemble hybrid approach. Educational Data Mining, Jul 2019, Montréal, Canada. ⟨hal-02157331⟩

François Bouchet, Rémi Bachelet. Socializing on MOOCs: comparing university and self-enrolled students. 6th European MOOCs Stakeholders Summit (EMOOCs 2019), May 2019, Naples, Italy. pp.31-36, ⟨10.1007/978-3-030-19875-6_4⟩. ⟨hal-02101559⟩

Fatima Harrak, Vanda Luengo, François Bouchet, Rémi Bachelet. Towards Improving Students’ Forum Posts Categorization in MOOCs and Impact on Performance Prediction. Learning @ Scale, Jun 2019, Chicago, United States. pp.47:1-47:4, ⟨10.1145/3330430.3333661⟩. ⟨hal-02157333⟩

Fatima Harrak, François Bouchet, Vanda Luengo, Rémi Bachelet. Automatic Identification of Questions in MOOC Forums and Association with Self-Regulated Learning. Educational Data Mining, Jul 2019, Montréal, Canada. pp.564-567. ⟨hal-02157335⟩

Fatima Harrak, François Bouchet, Vanda Luengo. Comparaison de questions posées et votées en ligne dans le cadre d'une classe inversée. Environnements Informatiques pour l’Apprentissage Humain, Jun 2019, Paris, France. pp.121-132. ⟨hal-02157330⟩

Diego Oswaldo Camacho Vega, François Bouchet. Self-Regulated Learning: Comparing Online and Classroom Courses in Cognition, Metacognition, Motivation, Emotions, Contexts, and Behavior. The 2019 Annual meeting of the American Educational Research Association, Apr 2019, Toronto, Canada. ⟨hal-02271051⟩

Hugues Labarthe, Vanda Luengo, François Bouchet. Analyse de l'hybridation entre les communautés LAK, EDM et AIED. PFIA 2018 : Journée IA pour l'éducation, Jul 2018, Nancy, France. ⟨hal-02015848⟩

François Bouchet, Jason Harley, Roger Azevedo. Evaluating Adaptive Pedagogical Agents’ Prompting Strategies Effect on Students’ Emotions. 14th International Conference on Intelligent Tutoring Systems (ITS 2018), Jun 2018, Montreal, Canada. pp.33-43, ⟨10.1007/978-3-319-91464-0_4⟩. ⟨hal-02015693⟩

Guy Mbatchou, François Bouchet, Thibault Carron, Philippe Pernelle. Proposing and evaluating a model of co-construction of the learning scenario by the learner. 15th International Conference Cognition and Exploratory Learning in Digital Age, International Association for Development of the Information Society, Oct 2018, Budapest, Hungary. pp.208-215. ⟨hal-01908168⟩

Guy Mbatchou, François Bouchet, Thibault Carron. Multi-scenario modelling of learning. Conférence sur le Recherche en Informatique et ses Applications, Association Sénégalaise des Chercheurs en InformatIque (ASCII), Apr 2018, Ziguinchor, Senegal. pp.199-211, ⟨10.1007/978-3-319-98878-8_19⟩. ⟨hal-01798303⟩

Hugues Labarthe, Vanda Luengo, François Bouchet. Analyzing the relationships between learning analytics, educational data mining and AI for education. 14th international conference on Intelligent Tutoring Systems (ITS):Workshop Learning Analytics, Jun 2018, Montreal, Canada. pp.10-19. ⟨hal-02015705⟩

François Bouchet, Rémi Bachelet, Hugues Labarthe, Kalina Yacef. Apports d’un outil de recommandation de pairs pour lutter contre l’attrition. Colloque e-Formation 2018, Mar 2018, Villeneuve d'Ascq, France. pp.431-432. ⟨hal-02015688⟩

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. pp.102-110, ⟨10.1145/3170358.3170389⟩. ⟨hal-01714182⟩

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. pp.245-256, ⟨10.1007/978-3-319-72965-7_23⟩. ⟨hal-01508523⟩

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. ⟨hal-01517137⟩

François Bouchet, Hugues Labarthe, Rémi Bachelet, Kalina Yacef. Who wants to chat on a MOOC? Lessons from a peer recommender system. EMOOCs 2017, May 2017, Madrid, Spain. pp.150-159, ⟨10.1007/978-3-319-59044-8_17⟩. ⟨hal-01522736⟩

François Bouchet, Hugues Labarthe, Kalina Yacef, Rémi Bachelet. Comparing Peer Recommendation Strategies in a MOOC. UMAP’17 4th international workshop on Educational Recommender Systems, Jul 2017, Bratislava, Slovakia. pp.129-134, ⟨10.1145/3099023.3099036⟩. ⟨hal-01531503⟩

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. 4p. ⟨hal-01523750⟩

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. pp.139-152, ⟨10.1007/978-3-319-66610-5_11⟩. ⟨hal-01578380⟩

Fatima Harrak, François Bouchet, Vanda Luengo. Identifying relationships between students' questions type and their behavior. 10th International Conference on Educational Data Mining, IEDMS, Jun 2017, Wuhan, China. ⟨hal-01525285⟩

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. ⟨hal-01376425⟩

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. ⟨hal-01340594⟩

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, UNIVERSITY OF GRAZ (AUSTRIA), Feb 2016, Graz, Austria. pp.471-480. ⟨hal-01277664⟩

François Bouchet, Jason Harley, Roger Azevedo. Can Adaptive Pedagogical Agents' Prompting Strategies Improve Students' Learning and Self-Regulation?. 13th International Conference Intelligent Tutoring Systems:, Jun 2016, Zagreb, Croatia. pp.368 - 374, ⟨10.1007/978-3-319-39583-8_43⟩. ⟨hal-01376429⟩

Hugues Labarthe, François Bouchet, Rémi Bachelet, Kalina Yacef. Does a Peer Recommender Foster Students' Engagement in MOOCs?. 9th International Conference on Educational Data Mining, Jun 2016, Raleigh, United States. pp.418-423. ⟨hal-01376431⟩

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. pp.174--182. ⟨hal-01340611⟩

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. pp.145--154, ⟨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. pp.1661-1666. ⟨hal-01340605⟩

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⟩

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⟩

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. 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 a Multi-Agent Hypermedia-Learning Environment?. Learning and becoming in practice : The International Conference of the Learning Sciences (ICLS) 2014, Jun 2014, Boulder, CO, United States. 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. pp.62-79, ⟨10.1007/978-3-662-44440-5_4⟩. ⟨hal-01219845⟩

Jason Harley, François Bouchet, Roger Azevedo. Examining How Students' Typical Studying Emotions Relate to Those Experienced While Studying with an ITS. ITS 2018 - 14th International Conference on Intelligent Tutoring Systems, Jun 2018, Montreal, Canada. Springer, 10858, pp.434-437, Lecture Notes in Computer Science. ⟨http://its2018.its-conferences.com/⟩. ⟨10.1007/978-3-319-91464-0⟩. ⟨hal-02015698⟩

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⟩