François Bouchet
- Sorbonne Université (SU)
- LIP6
- Modèles et Outils en ingénierie des Connaissances pour l'Apprentissage Humain (MOCAH)
Présentation
Publications
Publications
Towards Automated Characterization of Revision Events in Student Writing20th European Conference on Technology Enhanced Learning, EC-TEL 2025, Sep 2025, Durham, United Kingdom |
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Characterizing revision events in students' writing processes using LLMsWorkshop - Writing And Literacy Instruction for Educational Data Mining, Jul 2025, Palerma, Italy |
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Data Set Size Analysis for Detecting the Urgency of Discussion Forum Posts14th International Conference on Learning Analytics & Knowledge (LAK24), SOLAR, Mar 2024, Kyoto, Japan |
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Fairness of MOOC Completion Predictions Across Demographics and Contextual VariablesInternational Conference on Artificial Intelligence in Education, Jul 2024, Recife, Brazil. pp.379-393, ⟨10.1007/978-3-031-64302-6_27⟩ |
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A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education (RKDE 2023) at ECML PKDD 2023, Sep 2023, Turino, Italy |
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Caractérisation et mesure des discriminations algorithmiques dans la prédiction de la réussite à des cours en ligneEIAH2023 : 11ème Conférence sur les Environnements Informatiques pour l'Apprentissage Humain, Jun 2023, Brest, France |
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Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models16th International Conference on Educational Data Mining (EDM 2023), Jul 2023, Bengaluru, India. ⟨10.5281/zenodo.8115786⟩ |
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Usages dans le temps d'un tableau de bord d'apprentissage dans un jeu sérieuxEIAH2023 : 11ème Conférence sur les Environnements Informatiques pour l'Apprentissage Humain, Jun 2023, Brest, France. pp.256-261 |
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Adapting Learning Analytics Dashboards by and for University Students17th European Conference on Technology Enhanced Learning, Sep 2022, Toulouse, France. pp.299-309, ⟨10.1007/978-3-031-16290-9_22⟩ |
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How does the Use of Open Digital Spaces Impact Students Success and Dropout in a Virtual University?19th International Conference on Cognition and Exploratory Learning in the Digital Age - CELDA 2022, Nov 2022, Lisbonne, Portugal. pp.251-258 |
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Understanding online collaboration through speech acts associated to Belbin profilesCSCL 2022 - 15th International Conference on Computer-Supported Collaborative Learning, Jun 2022, Hiroshima, Japan. pp.324-327 |
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Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain's Approach13th International Conference on Computer Supported Education, CSEDU 2021, Apr 2021, Virtual event, France. pp.97-114, ⟨10.1007/978-3-031-14756-2_6⟩ |
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Analyzing the Impact of e-Caducée, a Serious Game in Pharmacy on Students’ Professional Skills over Multiple YearsCSEDU 2021 - 13th International Conference on Computer Supported Education, Apr 2021, Prague (virtual), Czech Republic. pp.331-338, ⟨10.5220/0010453903310338⟩ |
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Analyse de remédiations proposées par des enseignants ciblant des déficits d'auto-régulation de jeunes élèves dans une application d'apprentissage de la lecture10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Marie Lefevre, Christine Michel, Jun 2021, Fribourg / Virtual, Suisse. pp.262-273 |
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Can a Learning Analytics Dashboard Participative Design Approach Be Transposed to an Online-Only Context?18th International Conference Cognition and Exploratory Learning in Digital Age, Oct 2021, Virtual, Portugal |
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Aide au suivi de la progression de groupes d’apprenants pour la mise en place d’une pédagogie différenciée10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Marie Lefevre, Christine Michel, Jun 2021, Fribourg, Suisse. pp.312-317 |
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Using Prompts and Remediation to Improve Primary School Students Self-Evaluation and Self-Efficacy in a Literacy Web Application16th European Conference on Technology Enhanced Learning, Sep 2021, Bolzano, Italy. pp.221-234, ⟨10.1007/978-3-030-86436-1_17⟩ |
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Towards Learning Analytics Metamodels in a Context of Publishing Chains13th International Conference on Computer Supported Education, CSEDU, Apr 2021, Prague (virtual), Czech Republic. pp.45-54, ⟨10.5220/0010402900450054⟩ |
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Predicting Young Students' Self-Evaluation Deficits Through Their Activity Traces14th International Conference on Educational Data Mining, IEDMS, Jun 2021, Paris, France. pp.667-671 |
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Représentations sociales de l’analytique des apprentissages avec le numérique10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Marie Lefevre, Christine Michel, Jun 2021, Fribourg, Suisse. pp.354-359 |
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Détection de déficits d'auto-évaluation et d'auto-efficacité dans un logiciel enseignant la lecture et l'écriture10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Marie Lefevre, Christine Michel, Jun 2021, Fribourg / Virtual, Suisse. pp.250-261 |
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Addressing Children’s Self-Evaluation and Self-Efficacy Deficits in a Literacy Application2021 International Conference on Advanced Learning Technologies (ICALT), Jul 2021, Tartu (online), Estonia. pp.141-143, ⟨10.1109/ICALT52272.2021.00050⟩ |
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L’apport combiné de deux algorithmes d’IA à l’optimisation des parcours d’apprentissage dans le projet Adaptiv'Math47ème colloque de la COPIRELEM, Jun 2021, Grenoble, France. pp.855-868 |
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Faciliter le recueil de traces par la numérisation d’un outil tangible de co-design : application à la conception de tableaux de bord d’apprentissage10e Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Marie Lefevre, Christine Michel, Jun 2021, Fribourg, Suisse. pp.360-365 |
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Evaluating Teachers' Perceptions of Students' Questions OrganizationLearning Analytics & Knowledge Conference, Mar 2020, Frankfurt, Germany. pp.11-16, ⟨10.1145/3375462.3375509⟩ |
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Towards Temporality-Sensitive Recurrent Neural Networks through Enriched TracesInternational Conference on Educational Data Mining (EDM 2020), IEDMS, Jul 2020, Ifrane, Morocco. pp.658-661 |
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Towards a modular and flexible Learning Analytics frameworkLearning Analytics and Knowledge 2020, SOLAR, Mar 2020, Frankfurt, Germany. pp.178-179 |
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APACHES: Human-Centered and Project-Based Methods in Higher Education14th European Conference on Technology Enhanced Learning EC-TEL 2019, Sep 2019, Delft, Netherlands. pp.683-687, ⟨10.1007/978-3-030-29736-7_66⟩ |
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Socializing on MOOCs: comparing university and self-enrolled students6th European MOOCs Stakeholders Summit (EMOOCs 2019), May 2019, Naples, Italy. pp.31-36, ⟨10.1007/978-3-030-19875-6_4⟩ |
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Automatic Identification of Questions in MOOC Forums and Association with Self-Regulated LearningEducational Data Mining, Jul 2019, Montréal, Canada. pp.564-567 |
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Self-Regulated Learning: Comparing Online and Classroom Courses in Cognition, Metacognition, Motivation, Emotions, Contexts, and BehaviorThe 2019 Annual meeting of the American Educational Research Association, Apr 2019, Toronto, Canada |
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Categorizing students' questions using an ensemble hybrid approachEducational Data Mining, Jul 2019, Montréal, Canada |
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Towards Improving Students’ Forum Posts Categorization in MOOCs and Impact on Performance PredictionLearning @ Scale, Jun 2019, Chicago, United States. pp.47:1-47:4, ⟨10.1145/3330430.3333661⟩ |
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Comparaison de questions posées et votées en ligne dans le cadre d'une classe inverséeEnvironnements Informatiques pour l’Apprentissage Humain, Jun 2019, Paris, France. pp.121-132 |
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Profiling Students from Their Questions in a Blended Learning EnvironmentLAK '18 - 8th International Conference on Learning Analytics and Knowledge, Mar 2018, Sydney, Australia. pp.102-110, ⟨10.1145/3170358.3170389⟩ |
Apports d’un outil de recommandation de pairs pour lutter contre l’attritionColloque e-Formation 2018, Mar 2018, Villeneuve d'Ascq, France. pp.431-432 |
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Evaluating Adaptive Pedagogical Agents’ Prompting Strategies Effect on Students’ Emotions14th International Conference on Intelligent Tutoring Systems (ITS 2018), Jun 2018, Montreal, Canada. pp.33-43, ⟨10.1007/978-3-319-91464-0_4⟩ |
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Analyzing the relationships between learning analytics, educational data mining and AI for education14th international conference on Intelligent Tutoring Systems (ITS):Workshop Learning Analytics, Jun 2018, Montreal, Canada. pp.10-19 |
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Proposing and evaluating a model of co-construction of the learning scenario by the learner15th International Conference Cognition and Exploratory Learning in Digital Age, International Association for Development of the Information Society, Oct 2018, Budapest, Hungary. pp.208-215 |
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Multi-scenario modelling of learningConférence 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⟩ |
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Analyse de l'hybridation entre les communautés LAK, EDM et AIEDPFIA 2018 : Journée IA pour l'éducation, Jul 2018, Nancy, France |
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Towards a conceptual framework to scaffold self-regulation in a MOOCSixième 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⟩ |
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MAGAM : un modèle générique pour l'adaptation multi-aspects dans les EIAHEnvironnements Informatiques pour l'Apprentissage Humain, Jun 2017, Strasbourg, France. pp.29-40 |
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Vers une adaptation des apprentissages générique et multi-aspectsORPHEE-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 |
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Identifying relationships between students' questions type and their behavior10th International Conference on Educational Data Mining, IEDMS, Jun 2017, Wuhan, China |
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Comparing Peer Recommendation Strategies in a MOOCUMAP’17 4th international workshop on Educational Recommender Systems, Jul 2017, Bratislava, Slovakia. pp.129-134, ⟨10.1145/3099023.3099036⟩ |
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Who wants to chat on a MOOC? Lessons from a peer recommender systemEMOOCs 2017, May 2017, Madrid, Spain. pp.150-159, ⟨10.1007/978-3-319-59044-8_17⟩ |
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MAGAM: A Multi-Aspect Generic Adaptation Model for Learning EnvironmentsEuropean Conference on Technology Enhanced Learning (EC-TEL 2017), Sep 2017, Tallinn, Estonia. pp.139-152, ⟨10.1007/978-3-319-66610-5_11⟩ |
The role of an open learner model and immediate feedback on metacognitive calibration in MetaTutorThe 2016 Annual meeting of the American Educational Research Association, Apr 2016, Washington, DC, United States |
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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⟩ |
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Does a Peer Recommender Foster Students' Engagement in MOOCs?9th International Conference on Educational Data Mining, Jun 2016, Raleigh, United States. pp.418-423 |
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Increasing MOOC completion rates through social interactions: a recommendation systemEMOOCS 2016 Conference. Fourth European MOOCS Stakeholders Summit, University of Graz, Feb 2016, Graz, Austria. pp.471-480 |
Computer-based Learning Environments in Organizational Training: Impact of Learning Environment and Personality28th Annual Convention of the Association for Psychological Science, May 2016, Chicago, United States |
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Do MOOC students come back for more? Recurring Students in the GdP MOOCThe European MOOCs Stakeholders Summit 2015, May 2015, Mons, Belgium. pp.174--182 |
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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 |
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Examining the predictive relationship between personality and emotion traits and learners’ agent-directed emotionsThe 17th Conference on Artificial Intelligence in Education (AIED 2015), Jun 2015, Madrid, Spain. pp.145--154, ⟨10.1007/978-3-319-19773-9_15⟩ |
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A Framework Covering the Influence of FFM/NEO PI-R Traits over the Dialogical Process of Rational Agents5th International Conference on Agents and Artificial Intelligence, ICAART 2013, Feb 2013, Barcelona, Spain. pp.62-79, ⟨10.1007/978-3-662-44440-5_4⟩ |
An analysis of emotions in educationally relevant tweetsThe 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States |
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Assessing Learning with MetaTutor, a Multi-Agent Hypermedia Learning EnvironmentThe 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States |
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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 |
A Multi-Componential Analysis of Emotions during Complex Learning with an Intelligent Multi-Agent SystemThe 2014 Annual meeting of the American Educational Research Association, Apr 2014, Philadelphia, PA, United States |
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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 |
VirtualSelf: A computer-based learning environment for patient education using physiological and trace dataIIE Annual 2014, Jun 2014, Montreal, QC, Canada |
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Examining How Students' Typical Studying Emotions Relate to Those Experienced While Studying with an ITSITS 2018 - 14th International Conference on Intelligent Tutoring Systems, Jun 2018, Montreal, Canada. Springer, 10858, pp.434-437, Lecture Notes in Computer Science. ⟨10.1007/978-3-319-91464-0⟩ |
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La transition numérique dans la recherche et l'enseignement supérieur à l'horizon 2040Marco Barzman; Mélanie Gerphagnon; Olivier Mora. éditions Quae, 2020, 9782759231522. ⟨10.35690/978-2-7592-3153-9⟩ |
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Evaluating the Transposition of a Learning Analytics Dashboard Co-design Tangible Tool to a Digital ToolOpen and Inclusive Educational Practice in the Digital World, Springer International Publishing, pp.115-133, 2022, Cognition and Exploratory Learning in the Digital Age, 978-3-031-18512-0. ⟨10.1007/978-3-031-18512-0_8⟩ |
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Towards a Model of Learner-Directed Learning: An Approach Based on the Co-construction of the Learning Scenario by the LearnerOnline Teaching and Learning in Higher Education, Springer, pp.41-63, 2020, Cognition and Exploratory Learning in the Digital Age, 978-3-030-48190-2. ⟨10.1007/978-3-030-48190-2_3⟩ |
A Dimensionality Reduction Method for Time Series Analysis of Student Behavior to Predict Dropout in Massive Open Online CoursesAdoption of Data Analytics in Higher Education Learning and Teaching, pp.391-406, 2020, 978-3-030-47392-1. ⟨10.1007/978-3-030-47392-1_20⟩ |
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Understanding Emotional Expressions in Social Media through Data MiningTettegah, Sharon Y. Emotions, Technology, and Social Media, Elsevier; Academic Press, pp.85-104, 2016, 978-0-12-801857-6. ⟨10.1016/B978-0-12-801857-6.00005-1⟩ |
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Transition numérique et pratiques de recherche et d’enseignement supérieur en agronomie, environnement, alimentation et sciences vétérinaires à l’horizon 2040.[0] Institut National de la Recherche Agronomique, Agreenium. 2019, 161 p |
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Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistantInformatique [cs]. Université Paris Sud - Paris XI, 2010. Français. ⟨NNT : ⟩ |