Tchio, G.C.T., Nkambou, R., Tato, A.A.N., Psyché, V. (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. In: Sifaleras, A., Lin, F. (eds) Generative Intelligence and Intelligent Tutoring Systems. ITS 2024. Lecture Notes in Computer Science, vol 14798. Springer, Cham. https://doi.org/10.1007/978-3-031-63028-6_16

Courtemanche, MA., Tato, A., Nkambou, R. (2023). Automatic Execution of the Ontological Piloting Procedures. In: Frasson, C., Mylonas, P., Troussas, C. (eds) Augmented Intelligence and Intelligent Tutoring Systems. ITS 2023. Lecture Notes in Computer Science, vol 13891. Springer, Cham. https://doi.org/10.1007/978-3-031-32883-1_3

Tato, Ange et Nkambou, Roger. 2023. « Towards a multi-modal deep learning architecture for user modeling ». In International Florida Artificial Intelligence Research Society Conference, FLAIRS (Clearwater Beach, FL, USA, May 14-17, 2023) Coll. « Proceedings of FLAIRS », vol. 36. LibraryPress@UF. https://doi.org/10.32473/flairs.36.133328

Tato, Ange et Nkambou, Roger. 2023. « Towards extracting adaptation rules from neural networks ». In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky : 24th International Conference, AIED : Proceedings (Tokyo, Japan, July 03-07, 2023) Coll. « Communications in Computer and Information Science », vol. 1831. pp. 543-548. Springer. https://doi.org/10.1007/978-3-031-36336-8_84

Tato, Ange, Nkambou, Roger et Tato, Gabrielle. 2023. « Automatic learning of piloting behavior from flight data ». In Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS : Proceedings (Corfu Island, Greece, June 02-05, 2023) Coll. « Lecture Notes in Computer Science », vol. 13891. pp. 541-552. Springer. https://doi.org/10.1007/978-3-031-32883-1_48

Tchio, Guy Carlos Tamkodjou, Courtemanche, Marc-Antoine, Tato, Ange Adrienne Nyamen, Nkambou, Roger et Psyché, Valéry. 2023. « Integrating an ontological reference model of piloting procedures in ACT-R cognitive architecture to simulate piloting tasks ». In Augmented Intelligence and Intelligent Tutoring Systems: 19th International Conference, ITS : Proceedings (Corfu Island, Greece, June 02-05, 2023) Coll. « Lecture Notes in Computer Science », vol. 13891. pp. 183-194. Springer. https://doi.org/10.1007/978-3-031-32883-1_16

Courtemanche, Marc-Antoine, Tato, Ange et Nkambou, Roger. 2022. « Ontological reference model for piloting procedures ». In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022) Coll. « Lecture Notes in Computer Science », vol. 13284. pp. 95-104. Springer. https://doi.org/10.1007/978-3-031-09680-8_9

Tato, Ange et Nkambou, Roger. 2022. « Deep knowledge tracing on skills with small datasets ». In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022) Coll. « Lecture Notes in Computer Science », vol. 13284. pp. 123-135. Springer. https://doi.org/10.1007/978-3-031-09680-8_12

Tato, Ange, Nkambou, Roger et Nana Tato, Gabrielle Joyce. 2022. « Towards adaptive coaching in piloting tasks: Learning pilots’ behavioral profiles from flight data ». In Intelligent Tutoring Systems: 18th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022) Coll. « Lecture Notes in Computer Science », vol. 13284. pp. 105-114. Springer. https://doi.org/10.1007/978-3-031-09680-8_10

Nkambou, Roger, Brisson, Janie, Robert, Serge et Tato, Ange. 2021. « Learning logical reasoning : Improving the student model with a data driven approach ». In Intelligent Tutoring Systems: 17th International Conference, ITS : Proceedings (Bucharest, Romania, June 29-July 01, 2022) Coll. « Lecture Notes in Computer Science », vol. 12677. pp. 60-67. Springer. https://doi.org/10.1007/978-3-030-80421-3_7

Ghali, Ramla, Tato, Ange et Nkambou, Roger. 2019. « Using EEG features and machine learning to predict gifted children ». In 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS (Sarasota, FL, USA, May 19-22, 2019) pp. 120-123. AAAI Press. https://cdn.aaai.org/ocs/18287/18287-78906-1-PB.pdf

Mercier, Julien, Chalfoun, Pierre, Martin, Matthew, Tato, Ange Adrienne et Rivas, Daniel. 2019. « Predicting subjective enjoyment of aspects of a videogame from psychophysiological measures of arousal and valence ». In Intelligent Tutoring Systems : 15th International Conference, ITS : Proceedings (Kingston, Jamaica, June 03-07, 2019) Coll. « Lecture Notes in Computer Science », vol. 11528. pp. 174-179. Springer. https://doi.org/10.1007/978-3-030-22244-4_21

Tato, Ange et Nkambou, Roger. 2019. « Some improvements of deep knowledge tracing ». In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Portland, OR, USA, Nov. 04-06, 2019) pp. 1520-1524. IEEE Computer Society. https://doi.org/10.1109/ICTAI.2019.00217

Tato, Ange, Nkambou, Roger et Dufresne, Aude. 2019. « Hybrid deep neural networks to predict socio-moral reasoning skills ». In Proceedings of the 12th International Conference on Educational Data Mining (EDM) (Montreal, QC, Canada, July 02-05, 2019) pp. 623-626. International Educational Data Mining Society. pdf

Tato, Ange, Nkambou, Roger et Ghali, Ramla. 2019. « Towards predicting attention and workload during math problem solving ». In Intelligent Tutoring Systems : 15th International Conference, ITS : Proceedings (Kingston, Jamaica, June 03-07, 2019) Coll. « Lecture Notes in Computer Science », vol. 11528. pp. 224-229. Springer. https://doi.org/10.1007/978-3-030-22244-4_27

Tato, Ange, Dufresne, Aude, Nkambou, Roger, Morasse, Frédérick et Beauchamp, Miriam H.. 2018. « Preliminary evaluation of a serious game for socio-moral reasoning ». In 14th International Conference on Intelligent Tutoring Systems, ITS Proceedings (Montreal, QC, Canada, June 11-15, 2018) Coll. « Lecture Notes in Computer Science », vol. 10858. pp. 473-475. Springer.

Tato, Ange, Nkambou, Roger, Dufresne, Aude et Frasson, Claude. 2018. « Semi-supervised multimodal deep learning model for polarity detection in arguments ». In International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018) Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IJCNN.2018.8489342

Tato, Ange, Nkambou, Roger et Frasson, Claude. 2018. « Predicting emotions from multimodal users' data ». In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP) (Singapore, Singapore, July 08-11, 2018) pp. 369-370. Association for Computing Machinery, Inc. https://doi.org/10.1145/3209219.3209264

Tato, Ange, Nkambou, Roger, Brisson, Janie et Robert, Serge. 2017. « Predicting learner’s deductive reasoning skills using a bayesian network ». In Artificial Intelligence in Education : 18th International Conference, AIED : Proceedings (Wuhan, China, June 28-July 01, 2017) Coll. « Lecture Notes in Computer Science », vol. 10331. pp. 381-392. Springer. https://doi.org/10.1007/978-3-319-61425-0_32

Tato, Ange, Nkambou, Roger, Dufresne, Aude et Beauchamp, Miriam H.. 2017. « Convolutional neural network for automatic detection of sociomoral reasoning level ». In Proceedings of the 10th International Conference on Educational Data Mining (EDM) (Wuhan, China, June 25-28, 2017) pp. 284-289. International Educational Data Mining Society. pdf

Kenfack, Clauvice, Nkambou, Roger, Robert, Serge, Nyamen Tato, Ange Adrienne, Brisson, Janie et Kissok, Pamela. 2016. « A brief overview of logic-muse, an intelligent tutoring system for logical reasoning skills ». In 13th International Conference on Intelligent Tutoring Systems, ITS : Proceedings (Zagreb, Croatia, June 07-10, 2016) Coll. « Lecture Notes in Computer Science », vol. 9684. pp. 511-513. Springer.

Nkambou, Roger, Nyamen Tato, Ange Adrienne, Brisson, Janie, Kenfack, Clauvice, Robert, Serge et Kissok, Pamela. 2016. « On the evaluation of the expert and the learner models of logic-muse tutoring system ». In 13th International Conference on Intelligent Tutoring Systems, ITS : Proceedings (Zagreb, Croatia, June 07-10, 2016) Coll. « Lecture Notes in Computer Science », vol. 9684. pp. 506-508. Springer. 

Tato, Ange, Nkambou, Roger, Brisson, Janie, Kenfack, Clauvice, Robert, Serge et Kissok, Pamela. 2016. « A Bayesian network for the cognitive diagnosis of deductive reasoning ». In Adaptive and Adaptable Learning : 11th European Conference on Technology Enhanced Learning, EC-TEL : Proceedings (Lyon, France, Sept. 13-16, 2016) Coll. « Lecture Notes in Computer Science », vol. 9891. pp. 627-631. Springer. https://doi.org/10.1007/978-3-319-45153-4_78

Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P. et Tato, A.. 2015. « The participatory design of logic-muse, an intelligent tutoring system for logical reasoning in multiple contexts ». In EdMedia: World Conference on Educational Media and Technology (Montreal, QC, Canada, June 22, 2015) pp. 1710-1719. Montreal, Quebec, Canada : Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/151540/

Nkambou, Roger, Brisson, Janie, Kenfack, Clauvice, Robert, Serge, Kissok, Pamela et Tato, Ange. 2015. « Towards an intelligent tutoring system for logical reasoning in multiple contexts ». In Design for Teaching and Learning in a Networked World : 10th European Conference on Technology Enhanced Learning, EC-TEL : Proceedings (Toledo, Spain, Sept. 15-18, 2015) Coll. « Lecture Notes in Computer Science », vol. 9307. pp. 460-466. Springer. https://doi.org/10.1007/978-3-319-24258-3_40