Publications

Modified

8 June 2026

The full, up-to-date list of publications below is generated automatically from a single BibTeX file (assets/references.bib) — the same file you can keep in sync with your reference manager (Zotero, etc.). Open-access full text for most items is available through HAL.

assets/references.bib is the single source of truth. Running make pubs (which calls scripts/build_publications.py) regenerates _publications.md, included just below. Nothing here is executed at render time, so building the site needs no Python — see the project README.

166 entries, generated from assets/references.bib.

Books

2021

  • I-Han (Sharon) Hsiao, Shaghayegh (Sherry) Sahebi, François Bouchet & Jill-Jênn Vie (eds.) (2021). Proceedings of the 14th International Conference on Educational Data Mining. Link

2020

  • Marco Barzman, Mélanie Gerphagnon, Olivier Mora, Genevieve Aubin-Houzelstein, Alain Bénard, Caroline Martin, George-Louis Baron, François Bouchet, Juliette Dibie, Jean-Francois Gibrat, Simon Hodson, Evelyne Lhoste, Yann Moulier-Boutang, Sébastien Perrot, Fabrice Phung, Christian Pichot, Mehdi Siné & Thierry Venin (2020). La transition numérique dans la recherche et l’enseignement supérieur à l’horizon 2040. Quae. Link

Book chapters

2022

  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2022). Evaluating the transposition of a Learning Analytics Dashboard Co-design Tangible Tool to a Digital Tool. Open and Inclusive Educational Practice in the Digital World. Springer International Publishing. Link

2021

  • Camila Morais Canellas, François Bouchet, Thibaut Arribe & Vanda Luengo (2021). Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain’s Approach. Computer Supported Education. Springer. Link

2020

  • Guy Merlin Mbatchou Nkwetchoua, François Bouchet, Thibault Carron & Philippe Pernelle (2020). Towards a Model of Learner-Directed Learning : an Approach based on the Co-Construction of the Learning Scenario by the Learner. Online Teaching and Learning in Higher Education. Springer, Cham. Link
  • Eric G. Poitras, Reza Feyzi Behnagh & François Bouchet (2020). A Dimensionality Reduction Method for Time Series Analysis of Student Behavior to Predict Dropout in Massive Open Online Courses. Adoption of Data Analytics in Higher Education Learning and Teaching. Springer International Publishing. Link

2016

  • John Ranellucci, Eric G. Poitras, François Bouchet, Susanne P. Lajoie & Nathan C. Hall (2016). Understanding Emotional Expressions in Social Media through Data Mining. Emotions, Technology, and Social Media. Academic Press. Link

2014

  • Jean-Paul Sansonnet & François Bouchet (2014). A Framework Covering the Influence of FFM/NEO PI-R Traits over the Dialogical Process of Rational Agents. Agents and Artificial Intelligence. Springer Berlin Heidelberg. DOI

2013

  • Roger Azevedo, Jason M. Harley, Gregory J. Trevors, Melissa Duffy, Reza Feyzi-Behnagh, François Bouchet & Ronald S. Landis (2013). Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agents systems. International Handbook of Metacognition and Learning Technologies. Springer.

2012

  • François Bouchet & Jean-Paul Sansonnet (2012). Intelligent Agents with Personality: from Adjectives to Behavioral Schemes. Cognitively Informed Interfaces: System Design and Development. IGI Global.

Journal articles

2024

  • Mélina Verger, François Bouchet, Sébastien Lallé & Vanda Luengo (2024). Intersectionality : deepen algorithmic fairness evaluation. The case study of academic performance prediction using data from online courses. STICEF (Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation), 31(1). Link
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2024). How Can Self-Evaluation and Self-Efficacy Skills of Young Learners be Scaffolded in a Web Application?. IEEE Transactions on Learning Technologies, 17, pp. 1184–1197. DOI
  • Mélina Verger, Chunyang Fan, Sébastien Lallé, François Bouchet & Vanda Luengo (2024). A Comprehensive Study on Evaluating and Mitigating Algorithmic Unfairness with the MADD Metric. Journal of Educational Data Mining, 16(1), pp. 365–409. DOI

2022

  • Roger Azevedo, François Bouchet, Melissa Duffy, Jason M. Harley, Michelle Taub, Gregory J. Trevors, Elizabeth Cloude, Daryn Dever, Megan Wiedbusch, Franz Wortha & Rebeca Cerezo (2022). Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning with an Intelligent Tutoring System. Frontiers in Psychology, 13. DOI
  • Rawad Chaker, François Bouchet & Rémi Bachelet (2022). How do online learning intentions lead to learning outcomes? The mediating effect of the autotelic dimension of flow in a MOOC. Computers in Human Behavior, 134, pp. 107306. DOI
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2022). Détection de déficits d’auto-évaluation et d’auto-efficacité et remédiation dans un EIAH. 29(2). DOI

2021

  • Marco Barzman, Mélanie Gerphagnon, Geneviève Aubin-Houzelstein, Georges-Louis Baron, Alain Benard, François Bouchet, Juliette Dibie-Barthelemy, Jean-Francois Gibrat, Simon Hodson, Evelyne Lhoste, Caroline Martin, Yann Moulier-Boutang, Sébastien Perrot, Fabrice Phung, Christian Pichot, Mehdi Siné, Thierry Venin & Olivier Mora (2021). Exploring Digital Transformation in Higher Education and Research via Scenarios. Journal of Futures Studies, 25(3), pp. 65–78. DOI

2020

  • Fatima Harrak, François Bouchet & Vanda Luengo (2020). Liens entre performance, assiduité et questions posées et votées en ligne dans le cadre d’une classe inversée. Sciences et Technologies de l’Information et de la Communication pour l’Éducation et la Formation, 27(2). DOI

2019

  • Fatima Harrak, François Bouchet & Vanda Luengo (2019). From Student Questions to Student Profiles in a Blended Learning Environment. Journal of Learning Analytics, 6(1), pp. 54–84. DOI

2018

  • Jason M. Harley, Michelle Taub, Roger Azevedo & François Bouchet (2018). “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, 11(1), pp. 54–66. DOI

2016

  • Gregory Trevors, Reza Feyzi-Behnagh, Roger Azevedo & François Bouchet (2016). 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, 42, pp. 31–46. DOI
  • Jason M. Harley, Cassia K. Carter, Niki Papaioannou, François Bouchet, Ronald S. Landis, Roger Azevedo & Lana Karabachian (2016). 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, 26(2), pp. 177–219. DOI

2015

  • Jason M. Harley, François Bouchet, M. Sazzad Hussain, Roger Azevedo & Rafael A. Calvo (2015). A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Computers in Human Behavior, 48, pp. 615–625. DOI

2014

  • Michelle Taub, Roger Azevedo, François Bouchet & Babak Khosravifar (2014). 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, 39, pp. 356–367. DOI

2013

  • François Bouchet & Jean-Paul Sansonnet (2013). Influence of FFM/NEO PI-R personality traits on the rational process of autonomous agents. Web Intelligence and Agent Systems, 11(3), pp. 203–220. DOI
  • François Bouchet, Jason M. Harley, Gregory J. Trevors & Roger Azevedo (2013). Clustering and Profiling Students According to their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning. Journal of Educational Data Mining, 5(1), pp. 104–146. DOI
  • François Bouchet & Jean-Paul Sansonnet (2013). Agents Conversationnels Psychologiques : Modélisation des réactions rationnelles et comportementales des agents assistants conversationnels. Revue d’Intelligence Artificielle, 27(6), pp. 679–708. DOI

2012

  • François Bouchet & Jean-Paul Sansonnet (2012). Traits de Personnalité Computationnels: Enrichissement de la taxonomie FFM/NEO PI-R avec des gloses WordNet liées à des adjectifs de personnalité. Technique et Science Informatiques, 31(4), pp. 423–453. DOI

2011

  • Evandro Manara Miletto, Marcelo Soares Pimenta, François Bouchet, Jean-Paul Sansonnet & Damián Keller (2011). Principles for Music Creation by Novices in Networked Music Environments. Journal of New Music Research, 40(3), pp. 205–216. DOI
  • François Bouchet & Jean-Paul Sansonnet (2011). Implementing WordNet Personality Adjectives as Influences on Rational Agents. International Journal of Computer Information Systems and Industrial Management Applications, 3(1), pp. 696–705.
  • François Bouchet & Jean-Paul Sansonnet (2011). Agents Conversationnels Psychologiques : Un cadre d’étude des comportements rationnels et psychologiques des agents assistants conversationnels. Revue d’Intelligence Artificielle, 25(5), pp. 591–623. DOI

2010

  • Mao Xuetao, Jean-Paul Sansonnet & François Bouchet (2010). Définition d’un agent conversationnel assistant d’applications Internet à partir d’un corpus de requêtes. Technique et Science Informatiques, 29(10), pp. 1123–1154. DOI

Conference & workshop papers

2025

  • Léo Nebel, François Bouchet, Vanda Luengo & Mathilde Couraud (2025). Towards Automated Characterization of Revision Events in Student Writing. Two Decades of TEL: from Lessons Learnt to Challenges Ahead. Link
  • Léo Nebel, François Bouchet & Vanda Luengo (2025). Characterizing revision events in students’ writing processes using LLMs. Workshop - Writing And Literacy Instruction for Educational Data Mining. Link

2024

  • Sébastien Lallé, François Bouchet, Mélina Verger & Vanda Luengo (2024). Fairness of MOOC Completion Predictions Across Demographics and Contextual Variables. International Conference on Artificial Intelligence in Education. DOI
  • Valdemar Švábenský, François Bouchet, Francine Tarrazona, Michael Lopez II & Ryan S. Baker (2024). Data Set Size Analysis for Detecting the Urgency of Discussion Forum Posts. 14th International Conference on Learning Analytics & Knowledge (LAK24). Link

2023

  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2023). Usages dans le temps d’un tableau de bord d’apprentissage dans un jeu sérieux. EIAH2023 : 11ème Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Mélina Verger, Sébastien Lallé, François Bouchet & Vanda Luengo (2023). Is Your Model ”MADD”? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models. 16th International Conference on Educational Data Mining (EDM 2023). DOI
  • Mélina Verger, François Bouchet, Sébastien Lallé & Vanda Luengo (2023). Caractérisation et mesure des discriminations algorithmiques dans la prédiction de la réussite à des cours en ligne. EIAH2023 : 11ème Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Mélina Verger, Chunyang Fan, Sébastien Lallé, François Bouchet & Vanda Luengo (2023). A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models. 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education (RKDE 2023) at ECML PKDD 2023. Link

2022

  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2022). Understanding online collaboration through speech acts associated to Belbin profiles. Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022.
  • Khalifa Sylla, Guy Merlin Mbatchou Nkwetchoua & François Bouchet (2022). How does the Use of Open Digital Spaces Impact Students Success and Dropout in a Virtual University?. Proceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age.
  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron, Kathy Fronton Casalino & Claire Pinçon (2022). Adapting Learning Analytics Dashboards by and for University Students. Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. DOI

2021

  • Thomas Sergent, François Bouchet, Morgane Daniel & Thibault Carron (2021). Using Prompts and Remediation to Improve Primary School Students Self-evaluation and Self-efficacy in a Literacy Web Application. Technology-Enhanced Learning for a Free, Safe, and Sustainable World. DOI
  • Camila Morais Canellas, François Bouchet, Thibaut Arribe & Vanda Luengo (2021). Towards Learning Analytics Metamodels in a Context of Publishing Chains. Proceedings of the 13th International Conference on Computer Supported Education. DOI
  • Camila Morais Canellas, François Bouchet & Vanda Luengo (2021). Représentations sociales de l’analytique des apprentissages avec le numérique. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2021). Predicting Young Students’ Self-Evaluation Deficits Through Their Activity Traces. Proc. of the 14th International Conference on Educational Data Mining. Link
  • François Bouchet & Didier Roy (2021). L’apport combiné de deux algorithmes d’IA à l’optimisation des parcours d’apprentissage dans le projet Adaptiv’Math. Dispositifs et collectifs pour la formation, l’enseignement et l’apprentissage des mathématiques. Link
  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2021). Faciliter le recueil de traces par la numérisation d’un outil tangible de co-design : application à la conception de tableaux de bord d’apprentissage. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2021). Détection de déficits d’auto-évaluation et d’auto-efficacité dans un logiciel enseignant la lecture et l’écriture. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2021). Can a Learning Analytics Dashboard Participative Design Approach Be Transposed to an Online-Only Context?. Proceedings of the 18th International Conference Cognition and Exploratory Learning in Digital Age. Link
  • Katia Oliver-Quelennec, François Bouchet, Thibault Carron & Claire Pinçon (2021). Analyzing the impact of e-Caducée, a serious game in pharmacy on students’ professional skills over multiple years. Proc. of the 13th International Conference on Computer Supported Education. Link
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2021). Analyse de remédiations proposées par des enseignants ciblant des déficits d’auto-régulation de jeunes élèves dans une application d’apprentissage de la lecture. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Fatima Harrak & François Bouchet (2021). Aide au suivi de la progression de groupes d’apprenants pour la mise en place d’une pédagogie différenciée. 10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Thomas Sergent, Morgane Daniel, François Bouchet & Thibault Carron (2021). Addressing Children’s Self-Evaluation and Self-Efficacy Deficits in a Literacy Application. IEEE 21st International Conference on Advanced Learning Technologies. DOI

2020

  • Thomas Sergent, François Bouchet & Thibault Carron (2020). Towards Temporality-Sensitive Recurrent Neural Networks through Enriched Traces. Proceedings of the 13th International Conference on Educational Data Mining.
  • Yves Noël, Roland Mergoil, Vanda Luengo & François Bouchet (2020). Towards a modular and flexible Learning Analytics framework. Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge LAK20. Link
  • Fatima Harrak, François Bouchet, Vanda Luengo & Pierre Gillois (2020). Evaluating Teachers’ Perception of Students’ Questions Organization. LAK ’20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge. DOI

2019

  • Mathieu Vermeulen, Abir Karami, Anthony Fleury, François Bouchet, Nadine Mandran, Jannik Laval & Jean-Marc Labat (2019). APACHES: Human-Centered and Project-Based Methods in Higher Education. Transforming Learning with Meaningful Technologies. DOI
  • Fatima Harrak, Vanda Luengo, François Bouchet & Rémi Bachelet (2019). Towards Improving Students’ Forum Posts Categorization in MOOCs and Impact on Performance Prediction. Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. DOI
  • François Bouchet & Rémi Bachelet (2019). Socializing on MOOCs: Comparing University and Self-enrolled Students. Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge. DOI
  • Diego Oswaldo Camacho Vega & François Bouchet (2019). 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. DOI
  • Fatima Harrak, François Bouchet & Vanda Luengo (2019). Comparaison de questions posées et votées en ligne dans le cadre d’une classe inversée. Actes de la 9ème Conférence sur les Environnements Informatiques pour l’Apprentissage Humain. Link
  • Fatima Harrak, François Bouchet & Vanda Luengo (2019). Categorizing students’ questions using an ensemble hybrid approach. Proc. of the 12th International Conference on Educational Data Mining. Link
  • Fatima Harrak, François Bouchet, Vanda Luengo & Rémi Bachelet (2019). Automatic Identification of Questions in MOOC Forums and Association with Self-Regulated Learning. Proc. of the 12th International Conference on Educational Data Mining. Link

2018

  • Guy Merlin Mbatchou, François Bouchet, Thibault Carron & Philippe Pernelle (2018). Proposing and evaluating a model of co-construction of the learning scenario by the learner. Proceedings of the 15th International Conference Cognition and Exploratory Learning in Digital Age. Link
  • Fatima Harrak, François Bouchet, Vanda Luengo & Pierre Gillois (2018). Profiling Students from Their Questions in a Blended Learning Environment. LAK’18: International Conference on Learning Analytics and Knowledge. DOI
  • Guy Merlin Mbatchou, François Bouchet & Thibault Carron (2018). Multi-scenario modelling of learning. Conférence sur la Recherche en Informatique et ses Applications. DOI
  • Jason M. Harley, François Bouchet & Roger Azevedo (2018). Examining How Students’ Typical Studying Emotions Relate to Those Experienced While Studying with an ITS. Intelligent Tutoring Systems: 14th International Conference. Link
  • François Bouchet, Jason M. Harley & Roger Azevedo (2018). Evaluating Adaptive Pedagogical Agents’ Prompting Strategies Effect on Students’ Emotions. Intelligent Tutoring Systems: 14th International Conference. DOI
  • François Bouchet, Rémi Bachelet, Hugues Labarthe & Kalina Yacef (2018). Apports d’un outil de recommandation de pairs pour lutter contre l’attrition. Actes du Colloque e-Formation 2018. Link
  • Hugues Labarthe, Vanda Luengo & François Bouchet (2018). Analyzing the relationships between learning analytics, educational data mining and AI for education. Proc. of learning analytics workshop at ITS 2018. Link
  • Hugues Labarthe, Vanda Luengo & François Bouchet (2018). Analyse de l’hybridation entre les communautés LAK, EDM et AIED. Actes de la Journée IA pour l’Education 2018. Link

2017

  • Baptiste Monterrat, Amel Yessad, François Bouchet, Elise Lavoué & Vanda Luengo (2017). MAGAM: A Multi-Aspect Generic Adaptation Model for Learning Environments. European Conference on Technology Enhanced Learning. DOI
  • Baptiste Monterrat, Amel Yessad, François Bouchet, Elise Lavoué & Vanda Luengo (2017). MAGAM: un modèle générique pour l’adaptation multi-aspects dans les EIAH. Environnements Informatiques pour l’Apprentissage Humain.
  • François Bouchet, Hugues Labarthe, Rémi Bachelet & Kalina Yacef (2017). Who Wants to Chat on a MOOC? Lessons from a Peer Recommender System. Digital Education: Out to the World and Back to the Campus. DOI
  • Baptiste Monterrat, François Bouchet, Elise Lavoué & Vanda Luengo (2017). Vers une adaptation des apprentissages générique et multi-aspects. Actes de l’atelier personnalisation et adaptation dans les environnements d’apprentissage - ORPHEE-RDV 2017.
  • Gorgoumack Sambe, François Bouchet & Jean-Marc Labat (2017). Towards a Conceptual Framework to Scaffold Self-regulation in a MOOC. Innovation and Interdisciplinary Solutions for Underserved Areas. DOI
  • Fatima Harrak, François Bouchet & Vanda Luengo (2017). Identifying relationships between students’ questions type and their behavior. Proc. of the 10th International Conference on Educational Data Mining.
  • François Bouchet, Hugues Labarthe, Kalina Yacef & Rémi Bachelet (2017). Comparing Peer Recommendation Strategies in a MOOC. ACM Extended Proceedings of UMAP 2017. DOI

2016

  • Reza Feyzi-Behnagh, Roger Azevedo, François Bouchet & Yan Tian (2016). 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.
  • Hugues Labarthe, Rémi Bachelet, François Bouchet & Kalina Yacef (2016). Increasing MOOC completion rates through social interactions: a recommendation system. Proc. of the European Stakeholder Summit on experiences and best practices in and around MOOCs.
  • Hugues Labarthe, François Bouchet, Rémi Bachelet & Kalina Yacef (2016). Does a Peer Recommender Foster Students’ Engagement in MOOCs?. Proc. of the 9th International Conference on Educational Data Mining. Link
  • Niki Papaioannou, Ronald S. Landis, Cassia K. Carter, Roger Azevedo, François Bouchet & Jason M. Harley (2016). Computer-based Learning Environments in Organizational Training: Impact of Learning Environment and Personality.
  • François Bouchet, Jason M. Harley & Roger Azevedo (2016). Can adaptive pedagogical agents’ prompting strategies improve students’ learning and self-regulation?. Intelligent Tutoring Systems: 13th International Conference. DOI

2015

  • Jason M. Harley, Cassia K. Carter, Niki Papaioannou, François Bouchet, Ronald S. Landis, Roger Azevedo & Lana Karabachian (2015). Examining the predictive relationship between personality and emotion traits and learners’ agent-directed emotions. Proc. of the 17th Conference on Artificial Intelligence in Education (AIED 2015). DOI
  • Nicholas Mudrick, Roger Azevedo, Michelle Taub & François Bouchet (2015). Does the Frequency of Pedagogical Agent Intervention Relate to Learners’ Self-Reported Boredom while using Multi-Agent Intelligent Tutoring Systems?. Proc. of the 37th Annual Meeting of the Cognitive Science Society. Link
  • François Bouchet & Rémi Bachelet (2015). Do MOOC students come back for more? Recurring Students in the GdP MOOC. Proc. of the European MOOCs Stakeholders Summit 2015.

2014

  • Melissa Duffy, Roger Azevedo, Sarkis Meterissian & François Bouchet (2014). VirtualSelf: A computer-based learning environment for patient education using physiological and trace data. Link
  • Roger Azevedo, Nicholas Mudrick, Michelle Taub, Reza Feyzi-Behnagh & François Bouchet (2014). Understanding the nature of self-regulated learning with metacognitive tools: Converging eye-tracking, log-file, and facial expressions. The Meeting of the EARLI Special Interest Groups 6&7 - ‘Instructional Design’ and ‘Learning and Instruction with Computers’. Link
  • Roger Azevedo, Michelle Taub, Nicholas Mudrick, Reza Feyzi-Behnagh & François Bouchet (2014). The impact of pedagogical agents’ scaffolding of metacognitive self-regulatory processes during learning with MetaTutor. The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition. Link
  • Michelle Taub, Roger Azevedo, Nicholas Mudrick & François Bouchet (2014). Sub-goal sequence matters: determining the effects of sub-goal sequence on emotions during learning with hypermedia-learning environments. The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition. Link
  • Nicholas Mudrick, Roger Azevedo, Michelle Taub & François Bouchet (2014). How Do Pedagogical Agents’ SRL-Prompts Impact Students’ Affect as They Interact with Intelligent Tutoring Systems?. The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition. Link
  • Michelle Taub, Roger Azevedo, Nicholas Mudrick, Erika Clodfelter & François Bouchet (2014). 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.
  • Jason M. Harley, François Bouchet, Niki Papaioannou, Cassia Carter, Gregory J. Trevors, Reza Feyzi-Behnagh, Roger Azevedo & Ronald S. Landis (2014). Assessing Learning with MetaTutor, a Multi-Agent Hypermedia Learning Environment. The 2014 Annual meeting of the American Educational Research Association.
  • Roger Azevedo, Nicholas Mudrick, Michelle Taub, Reza Feyzi-Behnagh & François Bouchet (2014). Are pedagogical agents effective in scaffolding metacognitive processes during learning with MetaTutor?. The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition. Link
  • John Ranellucci, François Bouchet, Eric G. Poitras, Susanne P. Lajoie & Roger Azevedo (2014). An analysis of emotions in educationally relevant tweets. The 2014 Annual meeting of the American Educational Research Association.
  • Nicholas Mudrick, Roger Azevedo, Michelle Taub, Reza Feyzi-Behnagh & François Bouchet (2014). 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.
  • Jason M. Harley, François Bouchet, M. Sazzad Hussain, Roger Azevedo & Rafael A. Calvo (2014). 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.

2013

  • Roger Azevedo, Jason M. Harley, François Bouchet, Reza Feyzi-Behnagh, Michelle Taub, Gregory Trevors & Melissa Duffy (2013). MetaTutor: an innovative technology environment to study and assess self-regulatory processes. Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013).
  • Babak Khosravifar, Roger Azevedo, Reza Feyzi-Behnagh, François Bouchet, Jason M. Harley, Melissa Duffy, Gregory J. Trevors & Michelle Taub (2013). Using Intelligent Multi-Agent Systems to Model and Foster Self-Regulated Learning: A Theoretically-Based Approach using Markov Decision Process. The 2013 Annual meeting of the American Educational Research Association.
  • Babak Khosravifar, François Bouchet, Reza Feyzi-Behnagh, Roger Azevedo & Jason M. Harley (2013). Using Intelligent Multi-Agent Systems to Model and Foster Self-Regulated Learning: A Theoretically-Based Approach using Markov Decision Process. The IEEE 27th International Conference on Advanced Information Networking and Applications (AINA-2013). DOI
  • Reza Feyzi-Behnagh, Gregory J. Trevors, Roger Azevedo, Wook Yang, Valérie Bélanger-Cantara, Joan Henchey, François Bouchet, Nicole Pacampara & Grace Wang (2013). Understanding Multimedia Learning by Converging Process and Product Data. The 2013 Annual meeting of the American Educational Research Association.
  • Gregory J. Trevors, Reza Feyzi-Behnagh, Anoop Saxena, François Bouchet & Roger Azevedo (2013). Students regulate their learning processes as a function of multimedia coherence: Analyses of eye-gaze behaviour. The 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013).
  • Jason M. Harley, François Bouchet & Roger Azevedo (2013). Providing adaptive, real-time tutorial feedback in MetaTutor. Annual Conference of the Education Graduate Students’ Society: Meeting in the Middle: (de)Constructing Knowledge.
  • Jason M. Harley, Michelle Taub, François Bouchet, Joan Henchey & Roger Azevedo (2013). Profiling Learners’ Co-Regulation Patterns with a Pedagogical Agent in an Intelligent Tutoring System for Learning About Human Biology. The 2013 Annual meeting of the American Educational Research Association.
  • Jean-Paul Sansonnet, François Bouchet & Nicolas Sabouret (2013). Moteurs de personnalité pour agents dialogiques : étude d’un modèle pour les traits interpersonnels. SMA Systèmes Multi-agents JFSMA 13 - 21e Journées francophones sur les systèmes multi-agents.
  • Jean-Paul Sansonnet & François Bouchet (2013). Managing personality influences in dialogical agents. Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013).
  • Daria Bondareva, Cristina Conati, Reza Feyzi-Behnagh, Jason M. Harley, Roger Azevedo & François Bouchet (2013). Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning. Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013). DOI
  • François Bouchet, Jason M. Harley & Roger Azevedo (2013). Impact of Different Pedagogical Agents’ Adaptive Self-Regulated Prompting Strategies on Learning with MetaTutor. Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013). DOI
  • Gregory J. Trevors, Reza Feyzi-Behnagh, Roger Azevedo, Wook Yang, Joan Henchey, Valérie Bélanger-Cantara, François Bouchet, Grace Wang & Nicole Pacampara (2013). Eye-Movement Patterns in Science Multimedia as a Function of Epistemic Beliefs and Learning Task Conditions. The 2013 Annual meeting of the American Educational Research Association.
  • Jason M. Harley, Cassia Carter, Niki Papaioannou, François Bouchet, Roger Azevedo & Ronald S. Landis (2013). Examining Learners’ Academic Achievement Emotions during Science Learning with an Intelligent, Hypermedia Multi-Agent System. The 2013 Annual meeting of the American Educational Research Association.
  • Michelle Taub, Roger Azevedo, François Bouchet, Reza Feyzi-Behnagh & Jason M. Harley (2013). Can prior knowledge adequately predict the use of metacognitive processes during hypermedia learning?. The 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013).
  • Roger Azevedo, Reza Feyzi-Behnagh, Jason M. Harley & François Bouchet (2013). Analyzing temporally unfolding self-regulatory processes during learning with multi-agent technologies. Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013). Link
  • Reza Feyzi-Behnagh, Gregory J. Trevors, François Bouchet & Roger Azevedo (2013). Aligning Multiple Sources of SRL Data in MetaTutor: Towards Interactive Scaffolding in Multi-Agent Systems. Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013).
  • Jason M. Harley, François Bouchet & Roger Azevedo (2013). Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor. Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013). DOI

2012

  • Roger Azevedo, François Bouchet, Jason M. Harley, Reza Feyzi-Behnagh, Gregory Trevors, Melissa Duffy, Michelle Taub, Nicole Pacampara, Lauren Agnew, Sophie Griscom, Nicholas Mudrick, Victoria Stead & Wook Yang (2012). MetaTutor: An Intelligent Multi-Agent Tutoring System Designed to Detect, Track, Model, and Foster Self-Regulated Learning. Proc. of the Fourth Workshop on Self-Regulated Learning in Educational Technologies.
  • Roger Azevedo, François Bouchet, Reza Feyzi-Behnagh, Jason M. Harley, Melissa Duffy & Gregory J. Trevors (2012). MetaTutor as an innovative technology environment to assess students’ self-regulatory processes. Symposium on Knowing What Students Know and Feel: Innovative Technology Rich Assessments at the 2012 Annual meeting of the American Educational Research Association.
  • John Ranellucci, Eric Poitras, François Bouchet, Susanne P. Lajoie & Roger Azevedo (2012). Using social networking to guide research on emotions in education. The 2012 Annual Conference of the Canadian Society for the Study of Education.
  • Roger Azevedo, Jason M. Harley, Reza Feyzi-Behnagh & François Bouchet (2012). Using on-line measures to understand self-regulated learning with advanced learning technologies. Symposium on Integrating Different Approaches to Investigating Self-Regulated Learning at the 2012 Annual meeting of the American Educational Research Association.
  • François Bouchet & Jean-Paul Sansonnet (2012). Une approche facilitant la couverture et l’intelligibilité des influences des traits de personnalité sur le raisonnement rationnel des agents. SMA Systèmes Multi-agents JFSMA 12 - 20e Journées francophones sur les systèmes multi-agents.
  • Roger Azevedo, Ronald S. Landis, Reza Feyzi-Behnagh, Melissa Duffy, Gregory J. Trevors, Jason M. Harley, François Bouchet, Jonathan Burlison, Michelle Taub, Nicole Pacampara, Mohammed Yeasin, A. K. Mahbubur M. Rahman, M. Iftekhar Tanveer & Gahangir Hossain (2012). The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-Adapted Learning with MetaTutor. Intelligent Tutoring Systems, 11th International Conference.
  • Jason M. Harley, François Bouchet & Roger Azevedo (2012). Measuring Learners’ Co-Occurring Emotional Responses during their Interaction with a Pedagogical Agent in MetaTutor. Intelligent Tutoring Systems, 11th International Conference.
  • Roger Azevedo, Reza Feyzi-Behnagh, Jason M. Harley, François Bouchet, Gregory J. Trevors, Melissa Duffy & Zaynab Sabagh (2012). Measuring self-regulated learning with a multi-agent hypermedia environment. Symposium on Measuring Self-Regulated Learning with Multi-Agent Learning Environments at the 2012 Annual meeting of the American Educational Research Association.
  • Jason M. Harley, François Bouchet & Roger Azevedo (2012). Measuring learners’ unfolding, discrete emotional responses to different pedagogical agents scaffolding strategies. The 2012 Annual meeting of the American Educational Research Association.
  • François Bouchet, John S. Kinnebrew, Gautam Biswas & Roger Azevedo (2012). Identifying Students’ Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. Proceedings of the 5th International Conference on Educational Data Mining.
  • Roger Azevedo, Reza Feyzi-Behnagh, Jason M. Harley, François Bouchet & Michelle Taub (2012). Externally-Regulated Learning between Human and Artificial Pedagogical Agents in the Context of a Multi-Agent Adaptive Hypermedia Environment. Symposium on Innovations in Researching Regulation of Learning in Solo and Collaborative Tasks at the 2012 Annual meeting of the American Educational Research Association.
  • Jason M. Harley, François Bouchet & Roger Azevedo (2012). Co-Occurring Emotions: Building an Understanding of Parallel-Emotional Processing and its Applications to Learning and Education with Intelligent Tutoring Systems. Annual Conference of the Education Graduate Students’ Society: (e)Merging Knowledges: Classroom, Community, Culture.
  • Jason M. Harley, Michelle Taub, François Bouchet & Roger Azevedo (2012). A Framework to Understand the Nature of Co-Regulated Learning in Human-Pedagogical Agent Interactions. Proc. of the Fourth Workshop on Self-Regulated Learning in Educational Technologies.

2011

  • Jean-Paul Sansonnet & François Bouchet (2011). Personnification d’Entités par Agents Conversationnels. Actes des Sixièmes Journées Francophones Modèles Formels de l’Interaction (MFI’11).
  • Jean-Paul Sansonnet, François Bouchet & William Turner (2011). Personification of Topics with Conversational Agents. Proc. of Interfaces and Human-Computer Interaction 2011.
  • Jean-Paul Sansonnet & François Bouchet (2011). Integrating Psychological Behaviors in the Rational Process of Conversational Assistant Agents. Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2011).
  • François Bouchet & Jean-Paul Sansonnet (2011). Influence of Personality Traits on the Rational Process of Cognitive Agents. 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. DOI
  • Jason M. Harley, François Bouchet & Roger Azevedo (2011). Examining Learners’ Emotional Responses to Virtual Pedagogical Agents’ Tutoring Strategies. Intelligent Virtual Agents, 11th International Conference.

2010

  • François Bouchet & Jean-Paul Sansonnet (2010). Un cadre de modélisation des relations entre les réactions rationnelles et comportementales des agents assistants conversationnels. SMA Systèmes Multi-agents JFSMA 10 - 18e Journées francophones sur les systèmes multi-agents.
  • Marcelo Soares Pimenta, Evandro Manara Miletto, Jean-Paul Sansonnet & François Bouchet (2010). Social Music Making on the Web with CODES. Proceedings of the 2010 ACM Symposium on Applied Computing. DOI
  • Jean-Paul Sansonnet & François Bouchet (2010). Joint handling of Rational and Behavioral reactions in Assistant Conversational Agents. Proc. of the 19th European Conference on Artificial Intelligence (ECAI 2010). DOI
  • François Bouchet & Jean-Paul Sansonnet (2010). Implementing personality adjectives as behavioral schemes. Proc. of Interfaces and Human-Computer Interaction 2010.
  • Jean-Paul Sansonnet & François Bouchet (2010). Extraction of Agent Psychological Behaviors from Glosses of WordNet Personality Adjectives. Proc. of the 8th European Workshop on Multi-Agent Systems (EUMAS’10).
  • Jean-Paul Sansonnet & François Bouchet (2010). Expression of behaviors in Assistant Agents as influences on rational execution of plans. Intelligent Virtual Agents, 10th International Conference. DOI
  • François Bouchet & Jean-Paul Sansonnet (2010). Classification of Wordnet Personality Adjectives in the NEO PI-R Taxonomy. Actes du Quatrième Workshop sur les Agents Conversationnels Animés (WACA 2010).

2009

  • François Bouchet & Jean-Paul Sansonnet (2009). Tree-kernel and Feature Vector Methods for Formal Semantic Requests Classification. Machine Learning and Data Mining in Pattern Recognition.
  • François Bouchet & Jean-Paul Sansonnet (2009). Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent. 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. DOI
  • Evandro Manara Miletto, Marcelo Soares Pimenta, François Bouchet, Jean-Paul Sansonnet & Damián Keller (2009). Music Creation by Novices should be both Prototypical and Cooperative - Lessons Learned from CODES. Proc. of the 12th Brazilian Symposium on Computer Music (SBCM).
  • Mao Xuetao, Jean-Paul Sansonnet & François Bouchet (2009). Intelligent Assisting Conversational Agents viewed through Novice Users’ Requests. Proc. of Interfaces and Human-Computer Interaction 2009.
  • Mao Xuetao, François Bouchet & Jean-Paul Sansonnet (2009). Impact of agent’s answers variability on its believability and human-likeness and consequent chatbot improvements. Proc. of the Symposium Killer Robots vs Friendly Fridges – The Social Understanding of Artificial Intelligence (AISB 2009).
  • Jean-Paul Sansonnet, Evandro Manara Miletto, François Bouchet & Marcelo Soares Pimenta (2009). Exploring the integration of teaching capabilities into a CSCP framework through help agents. Proc. of the 20th Brazilian Symposium of Computer Science in Education (SBIE 2009).
  • Evandro Manara Miletto, Jean-Paul Sansonnet, Marcelo Soares Pimenta & François Bouchet (2009). Corpus-based design of a Web 2.0 Assisting Agent. Proc. of the 8th International Workshop on Web-Oriented Software Technologies (IWWOST’2009).
  • François Bouchet (2009). Characterization of Conversational Activities in a Corpus of Assistance Requests. Proc. of the 14th Student Session of the European Summer School for Logic, Language, and Information (ESSLLI).
  • François Bouchet & Jean-Paul Sansonnet (2009). Apports Complémentaires de la Subjectivité et des Biais Cognitifs à la Rationalité dans le Contexte de la Fonction d’Assistance. Actes des Cinquièmes Journées Francophones Modèles Formels de l’Interaction (MFI’09).
  • Mao Xuetao, François Bouchet & Jean-Paul Sansonnet (2009). An ACA-based Semantic Space for Processing Domain Knowledge in the Assistance Context. Proc. of the 3rd International Conference on New Trends in Information and Service Science (NISS 2009). DOI
  • François Bouchet & Jean-Paul Sansonnet (2009). A framework for modeling the relationships between the rational and behavioral reactions of assisting conversational agents. Proc. of the 7th European Workshop on Multi-Agent Systems (EUMAS’09).

2008

  • Mao Xuetao, Jean-Paul Sansonnet & François Bouchet (2008). A corpus-based NLP-chain for a web-based Assisting Conversational Agent. Actes du Troisième Workshop sur les Agents Conversationnels Animés (WACA 2008).

2007

  • François Bouchet (2007). Caractérisation d’un Corpus de Requêtes d’Assistance. Actes de la 11e Rencontre des Etudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL 2007).
  • François Bouchet & Jean-Paul Sansonnet (2007). Caractérisation de Requêtes d’Assistance à partir de corpus. Actes des Quatrièmes Journées Francophones Modèles Formels de l’Interaction (MFI’07).

2006

  • François Bouchet & Jean-Paul Sansonnet (2006). Étude d’un corpus de requêtes en langue naturelle pour des agents assistants. Actes du Deuxième Workshop sur les Agents Conversationnels Animés (WACA 2006).

Theses

2021

  • Camila Canellas (2021). Métamodèle d’analytique des apprentissages avec le numérique. Sorbonne université — PhD thesis. Link

2019

  • Guy Merlin Mbatchou Nkwetchoua (2019). Vers un modèle d’accompagnement de l’apprentissage dans les Learning Management Systems : une approche basée sur la modélisation multi-scénarios d’un cours et la co-construction du scénario par les apprenants. Sorbonne université — PhD thesis. Link
  • Fatima Harrak (2019). Analyse de questions d’apprenants et de profils associés dans des environnements en ligne. Sorbonne université — PhD thesis. Link

2014

  • Issam Bani (2014). Analyse des traces d’apprentissage et d’interactions inter-apprenants dans un MOOC. Université Pierre et Marie Curie — MSc thesis.

2010

  • François Bouchet (2010). Conception d’une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant. Université Paris-Sud 11 — PhD thesis. Link

2006

  • François Bouchet (2006). Conception d’un langage de requêtes pour un agent conversationnel assistant. Université Paris-Sud 11 — MSc thesis.

Reports

2019

  • Marc Barzman, Mélanie Gerphagnon, Olivier Mora, Genevieve Aubin-Houzelstein, Alain Benard, Caroline Martin, George-Louis Baron, François Bouchet, Juliette Dibie-Barthelemy, Jean-Francois Gibrat, Simon Hodson, Evelyne Lhoste, Yann Moulier Boutang, Sébastien Perrot, Fabrice Phung, Christian Pichot, Mehdi Siné & Thierry Venin (2019). Transition numérique et pratiques de recherche et d’enseignement supérieur en agronomie, environnement, alimentation et sciences vétérinaires à l’horizon 2040. Inra (technical report). Link

2010

  • Jean-Paul Sansonnet & François Bouchet (2010). A Formal Notation for the Elicitation of Emotions based on the OCC Model. LIMSI-CNRS (technical report).

2007

  • François Bouchet & Jean-Paul Sansonnet (2007). Characterization of Conversational Activities in a Corpus of Assisting Requests. LIMSI-CNRS (technical report).

2006

  • François Bouchet (2006). Spécifications du langage de requêtes DAFT 2.0. LIMSI-CNRS (technical report).