MOCAH - Conference papers

Current teams :	ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL
Former team :	ACASA

Publications MOCAH	2023	2024	Total
Books	0	0	0
Edited books	0	1	1
Journal articles	2	2	4
Book chapters	3	1	4
Conference papers	16	6	22
Habilitations	0	0	0
Thesis	2	2	4

LIP6

O. Allègre, A. Yessad, V. Luengo : “Discovering prerequisite relationships between knowledge components from an interpretable learner model”, EDM 2023, Bengaluru, India, pp. 490-496, (ISBN: 978-1-7336736-4-8) [Allègre 2023]
G. Guigon, M. Muratet, M. Vermeulen, Th. Carron : “Facilitate the design of Role Learning Games: the RLG Kit”, international conference on Advanced Learning Technologies and Technology-enhanced Learning, Orem (UT), United States [Guigon 2023a]
G. Guigon, M. Vermeulen, M. Muratet, Th. Carron : “RLG Model et RLG kit : un modèle et un kit de conception de Role Learning Game”, EIAH2023 : 11ème Conférence sur les Environnements Informatiques pour l'Apprentissage Humain, Brest, France, pp. 316-319 [Guigon 2023b]
J. Hernandez, M. Muratet, Th. Carron : “Responsive Narrativity in Gamified Situational Judgment Tests: A Dynamic System for Enhanced Soft Skills Development”, European Conference on Technology Enhanced Learning 2023, vol. 14200, Lecture Notes in Computer Science, Aveiro, Portugal, pp. 725-730, (Springer Nature Switzerland) [Hernandez 2023]
S. Lallé, Ö. Yalçin, C. Conati : “How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments”, Artificial Intelligence in Education. AIED 2023, vol. 13916, Lecture Notes in Computer Science, Tokyo, Japan, pp. 760-766, (Springer Nature Switzerland), (ISBN: 978-3-031-36272-9) [Lallé 2023]
M. Muratet : “Comment caractériser et analyser les compétences de la pensée informatique d'un jeu sérieux ?”, Actes de la onzième Conférence sur les Environnements Informatiques pour l’Apprentissage Humain, Brest, France, pp. 178-189 [Muratet 2023a]
M. Muratet : “How to Characterize and Analyze the Computational Thinking Skills of a Learning Game?”, Responsive and Sustainable Educational Futures. EC-TEL 2023, vol. 14200, Lecture Notes in Computer Science, Aveiro, Portugal, pp. 263-277, (Springer Nature Switzerland), (ISBN: 978-3-031-42681-0) [Muratet 2023b]
M. Muratet : “SPY : Un jeu sérieux partagé pour étudier l’apprentissage de la pensée informatique”, Actes de l'atelier Apprendre la Pensée Informatique de la Maternelle à l'Université. APIMU 2023, Brest, France, pp. 33-40 [Muratet 2023c]
K. Oliver‑Quelennec, F. Bouchet, Th. Carron, C. Pinçon : “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, Brest, France, pp. 256-261, (Association des Technologies de l’Information pour l’Education et la Formation) [Oliver-Quelennec 2023]
Ph. Pernelle, Th. Carron, Stéphane. Talbot, D. Wayntal : “Développement de Jumeau Numérique pour la Formation au sein du pôle S.mart RAO”, S-MART 2023 : 18ème Colloque national S.mart, Carry-le-Rouet, France [Pernelle 2023]
D. Rotelli, Y. Noel, S. Lallé, V. Luengo, D. Pesce : “A Moodle Plugin for Rich xAPI Data Logging”, Responsive and Sustainable Educational Futures 18^th European Conference on Technology Enhanced Learning, EC-TEL 2023, Aveiro, Portugal, September 4–8, 2023, Proceedings, vol. 14200, Lecture Notes in Computer Science, Aveiro, Portugal, pp. 748-754, (Springer Nature Switzerland) [Rotelli 2023]
V. Sallaz, Th. Carron : “A 3 roles’ model to better design and facilitate the use of serious games in the classroom”, Proceedings of the 17^th European Conference on Games Based Learning, vol. 17 (1), Twente, Netherlands, pp. 564-573 [Sallaz 2023]
M. Verger, Ch. Fan, S. Lallé, F. Bouchet, V. Luengo : “A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models”, 1^st International Tutorial and Workshop on Responsible Knowledge Discovery in Education (RKDE 2023) at ECML PKDD 2023, Turino, Italy [Verger 2023a]
M. Verger, F. Bouchet, S. Lallé, V. Luengo : “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, Brest, France [Verger 2023b]
M. Verger, S. Lallé, F. Bouchet, V. Luengo : “Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student Models”, Proceedings of the 16^th International Conference on Educational Data Mining, Bengaluru, India, (ISBN: 978-1-7336736-4-8) [Verger 2023c]
A. Yessad : “Using the ITS Components in Improving the Q-Learning Policy for Instructional Sequencing”, ITS 2023: Augmented Intelligence and Intelligent Tutoring Systems, vol. 13891, Lecture Notes in Computer Science, Corfu, Greece, pp. 247–256, (Springer), (ISBN: 978-3-031-32883-1) [Yessad 2023]