Acceptées (2027)
Deep Sequence Models for Pilot Command Prediction During Takeoff: A Multi-Criteria Comparative Evaluation of TCN-LSTM, Transformer, MLP-Mixer, and TSMixer
H. Trachet, C. Neffati, G. Ghazi, A. Tato · AIAA SciTech Forum, Orlando
Discovering Pilot Behavioral Profiles from Desktop Flight Simulator Data: A Comparison of Temporal Clustering Methods
C. Neffati, H. Trachet, G. Ghazi, A. Tato · AIAA SciTech Forum, Orlando
2026
Towards a Neurosymbolic Cognitive Digital Twin for Aircraft Pilots: An Ontology-Driven ACT-R Architecture for Procedural Behavior Modeling
D. Kengne, V. Mankejeu, R. Nkambou, A. Tato · International Conference on Human-Computer Interaction (HCII), p. 299–318
Proxy-Labeled Modeling of Confusion, Apathy, and Morale for Speech-Based Affective Learner State Estimation
M. Chanbi, A. Tato · International Conference on Intelligent Tutoring Systems (ITS), Paphos · sous presse
Constrained Multimodal Neural Networks for Interpretable Adaptation Rule Extraction in Game-Based Learning
A. Tato, R. Nkambou · 19th International Conference on Educational Data Mining (EDM), Séoul, p. 622–626 · DOI 10.5281/zenodo.21039675
Temporal Clustering of Flight Simulator Data for Learner Profiling: A Methodological Comparison
C. Neffati, A. A. N. Tato, G. Ghazi, H. Trachet · 19th International Conference on Educational Data Mining (EDM), Séoul, p. 780–785 · DOI 10.5281/zenodo.21040146
Déclaration collective : De la conformité à la créativité pour l'avenir de la réussite scolaire et éducative au Québec
Collectif, dont A. Tato · Rapport, Réseau PÉRISCOPE
2025
Can LLMs Generate Accurate Bayesian Networks to Enhance Knowledge Tracing?
A. Tato, R. Nkambou · International Conference on Artificial Intelligence in Education (AIED), p. 319–332 · DOI 10.1007/978-3-031-98420-4_23
Leveraging LLMs for Bayesian and Deep Knowledge Tracing in the Logic-Muse Intelligent Tutoring System
A. Tato, R. Nkambou · International Conference on Intelligent Tutoring Systems (ITS), p. 182–191 · DOI 10.1007/978-3-031-98281-1_14
Towards Predicting Complex Carpooling Trajectories with Context-Augmented BERT-LLM in Chaotic Environments
D. Kengne, R. Nkambou, A. Tato, C. Lacourarie · International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), p. 419–431 · DOI 10.1007/978-981-96-8889-0_36
Enhancing Pilot Training and Decision-Making Using Ontologies: A Cognitive Assistance Approach
G. C. Tamkodjou Tchio, R. Nkambou, V. Psyché, A. A. N. Tato · International Conference on Intelligent Tutoring Systems (ITS), p. 59–73 · DOI 10.1007/978-3-031-98281-1_5
Innovations sociotechniques en PRS : risques et possibilités ?
Collectif, dont A. A. N. Tato · Actes du Colloque du Réseau PÉRISCOPE, 92e Congrès de l'Acfas
2024
Towards Cognitive Coaching in Aircraft Piloting Tasks: Building an ACT-R Synthetic Pilot Integrating an Ontological Reference Model to Assist the Pilot and Manage Deviations
G. C. T. Tchio, R. Nkambou, A. A. N. Tato, V. Psyché · International Conference on Intelligent Tutoring Systems (ITS), p. 202–216 · DOI 10.1007/978-3-031-63028-6_16
2023
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling
R. Nkambou, J. Brisson, A. Tato, S. Robert · Proceedings of the AAAI Conference on Artificial Intelligence, 37(13)
Towards Extracting Adaptation Rules from Neural Networks
A. Tato, R. Nkambou · International Conference on Artificial Intelligence in Education (AIED), p. 543–548
Automatic Learning of Piloting Behavior from Flight Data
A. Tato, R. Nkambou, G. J. Nana Tato · International Conference on Intelligent Tutoring Systems (ITS), p. 541–552
Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks
G. C. T. Tchio, M.-A. Courtemanche, A. A. N. Tato, R. Nkambou, V. Psyché · International Conference on Intelligent Tutoring Systems (ITS), p. 183–194
Automatic Execution of the Ontological Piloting Procedures
M.-A. Courtemanche, A. Tato, R. Nkambou · International Conference on Intelligent Tutoring Systems (ITS), p. 29–41
Towards a Multi-Modal Deep Learning Architecture for User Modeling
A. Tato, R. Nkambou · The International FLAIRS Conference Proceedings, 36 · DOI 10.32473/flairs.36.133328
Introduction to Neural Networks and Uses in EDM
A. Merceron, A. Tato · 16th International Conference on Educational Data Mining (EDM)
2022
Infusing Expert Knowledge into a Deep Neural Network Using Attention Mechanism for Personalized Learning Environments
A. Tato, R. Nkambou · Frontiers in Artificial Intelligence, 5, 921476 · DOI 10.3389/frai.2022.921476
Assessing and Optimizing Socio-Moral Reasoning Skills: Findings from the MorALERT Serious Video Game
H. Zarglayoun, J. Laurendeau-Martin, A. Tato, E. Vera-Estay, A. Blondin et al. · Frontiers in Psychology, 12, 767596
Deep Knowledge Tracing on Skills with Small Datasets
A. Tato, R. Nkambou · International Conference on Intelligent Tutoring Systems (ITS), p. 123–135
Towards Adaptive Coaching in Piloting Tasks: Learning Pilots' Behavioral Profiles from Flight Data
A. Tato, R. Nkambou, G. J. Nana Tato · International Conference on Intelligent Tutoring Systems (ITS), p. 105–114
Ontological Reference Model for Piloting Procedures
M.-A. Courtemanche, A. Tato, R. Nkambou · International Conference on Intelligent Tutoring Systems (ITS), p. 95–104
Conférences et présentations
Évaluer à l'ère de l'IAG : mon expérience
Comment enseigner et apprendre avec l'IA sans en dépendre
Bootcamp Intelligence A + H, Québec · 2026 · conférencière invitée
Fouille de données éducatives
Bootcamp numérique en IA, Québec · 2025 · conférencière invitée
Traçage de connaissances via un réseau bayésien généré par un grand modèle de langage
Congrès de l'Acfas, colloque 524 sur l'IA pour l'éducation, Montréal · 2025
L'IA générative au service de l'apprentissage : perspectives et enjeux pédagogiques
IA générative et co-élaboration de connaissances en éducation : enjeux éthiques et leurs problématisations par des experts internationaux
Entretiens Jacques Cartier, Québec · 2024 · avec G.-L. Baron, S. Collin et L. Langlois
Apprentissage et optimisation
École I3AFD sur l'apprentissage automatique et la fouille de données, Yaoundé · 2024 · avec P. Melatagia
Effective Dialogue in an Educational Context with a Generative AI Chatbot: A ChatGPT Example
Programme de technologie éducative, Université Laval · 2024 · conférencière invitée
Tutorial: Introduction to Neural Networks and Uses in EDM
Educational Data Mining 2023, Bengaluru · avec A. Merceron
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