Janie Brisson

Janie Brisson

Professeure
Téléphone : (514) 987-3000 poste 7725
Local : N-6780
Langues : Français, Anglais
Ce professeur désire s'entretenir avec les médias
Liens d'intérêt
Enseignement
Communications
  • «Dual strategy, Analytical thinking and Bullshit: Extending the scope of the dual-strategy model». Canadian Society for Brain, Behaviour and Cognitive Science, Waterloo (juillet 2019).
  • «Dual strategy model and reasoning with familiar premises». Canadian Society for Brain, Behaviour and Cognitive Science, St-John's (juillet, 2018).
  • «Studying cognitive sciences from a philosopher's perspective: Challenges and solutions to better grasp empirical experiments». Canadian Philiosophical Association, Montréal (juin 2018).
  • «Entre logique et instinct : À la recherche des limites de l'intuition logique». 40e Congrès Annuel de la Société Québécoise de Recherche en Psychologie, Québec (mars 2018).
  • «Raisonner à partir d'une incompatibilité: Une investigation des effets du contenu sur le raisonnement logique». 39e Congrès Annuel de la Société Québécoise de Recherche en Psychologie, Montréal (mars 2017).
  • «Content effect in reasoning from an incompatibility: More evidence for a retrieval model». International Conference on Thinking, Providence (août 2016).
  • «Additional evidence for a dual-strategy model of reasoning: Probabilistic reasoning is more invariant than reasoning about logical validity». 27th Association for Psychological Science Annual Convention, New York (mai 2015).
  • «Raisonnement et créativité: Promouvoir la pensée critique avec la pensée divergente». 83e Congrès de l'Association francophone pour le savoir, Rimouski (mai 2015).
  • «Les groupes de Klein et l'explication computationnelle des sophismes dans le raisonnement». 83e Congrès de l'Association francophone pour le savoir, Rimouski (mai 2015).
  • «La variabilité des jugements de validité logique : un appui à la théorie des processus duaux du raisonnement». Congrès Annuel de la Société Québécoise de Recherche en Psychologie , Gatineau (mars 2015).
  • «Stratégies de raisonnement et biais de croyance». Congrès annuel de la Société Québécoise de Recherche en Psychologie, Montréal (mars 2014).

Publications

Articles scientifiques
  • Markovits, H., de Chantal, P.-L., Brisson, J., Dubé, E., Thompson, V. et Newman, I. (2021). Reasoning strategies predict use of very fast logical reasoning. Memory & Cognition, 49, 532–543. http://dx.doi.org/10.3758/s13421-020-01108-3.
  • Brisson, J. et Markovits, H. (2020). Reasoning strategies and semantic memory effects in deductive reasoning. Memory & Cognition, 48, 920–930. http://dx.doi.org/10.3758/s13421-020-01027-3.
  • Markovits, H., de Chantal, P. L. et Brisson, J. (2019). Abstract reasoning and the interpretation of basic conditionals. Thinking & Reasoning, 25(1), 1–13. http://dx.doi.org/10.1080/13546783.2018.1452795.
  • Markovits, H., de Chantal, P. L., Brisson, J. et Gagnon-St-Pierre, É. (2019). The development of fast and slow inferential responding: Evidence for a parallel development of rule-based and belief-based intuitions. Memory & Cognition, 47(6), 1188–1200. http://dx.doi.org/10.3758/s13421-019-00927-3.
  • Brisson. J., S., W., Markovits, H. et De Neys, W. (2018). Conflict detection and logical complexity. Psychologica Belgica, 58(1), 318–332. http://dx.doi.org/10.5334/pb.448.
  • Markovits, H., Brisson, J., de Chantal, P. L. et Singmann, H. (2018). Multiple layers of information processing in deductive reasoning: combining dual strategy and dual-source approaches to reasoning. Journal of Cognitive Psychology, 30(4), 394–405. http://dx.doi.org/10.1080/20445911.2018.1458729.
  • Brisson, J., Markovits, H., Robert, S. et Schaeken, W. (2018). Reasoning from an incompatibility: False dilemma fallacies and content effects. Memory & Cognition, 46(5), 657–670. http://dx.doi.org/10.3758/s13421-018-0804-x.
  • Markovits, H., Brisson, J., de Chantal, P. L. et Thompson, V. A. (2017). Interactions between inferential strategies and belief bias. Memory & Cognition, 45(7), 1182–1192. http://dx.doi.org/10.3758/s13421-017-0723-2.
  • Markovits, H., Brisson, J. et de Chantal, P. L. (2017). Logical Reasoning Versus Information Processing in the Dual-Strategy Model of Reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(1), 72–80. http://dx.doi.org/10.1037/xlm0000291.
  • Markovits, H., Brisson, J., de Chantal, P. L. et St-Onge, C. M. (2016). Elementary schoolchildren know a logical argument when they see one. Journal of Cognitive Psychology, 28(7), 877–883. http://dx.doi.org/10.1080/20445911.2016.1189918.
  • Markovits, H., Brisson, J. et de Chantal, P. L. (2016). How do pre-adolescent children interpret conditionals? Psychonomic Bulletin & Review, 23(6), 1907–1912. http://dx.doi.org/10.3758/s13423-016-1050-5.
  • Robert, S. et Brisson, J. (2016). The Klein group, squares of opposition and the explanation of fallacies in reasoning. Logica Universalis, 10(2-3), 377–392. http://dx.doi.org/10.1007/s11787-016-0150-3.
  • Markovits, H., Brisson, J. et de Chantal, P.-L. (2015). Additional evidence for a dual-strategy model of reasoning: Probabilistic reasoning is more invariant than reasoning about logical validity. Memory & Cognition, 43(8), 1208–1215. http://dx.doi.org/10.3758/s13421-015-0535-1.
  • Markovits, H., Brisson, J. et de Chantal, P.-L. (2015). Deductive updating is not bayesian. Journal of Experimental Psychology: Learning, Memory & Cognition, 41(4), 949–956. http://dx.doi.org/10.1037/xlm0000092.
  • Markovits, H., Thompson, V.A. et Brisson, J. (2015). Metacognition and abstract reasoning. Memory & Cognition, 43(4), 681–693. http://dx.doi.org/10.3758/s13421-014-0488-9.
  • de Chantal, P.-L., Brisson, J. et Markovits, H. (2015). Raisonnement et créativité : une intégration de la pensée divergente au raisonnement conditionnel. Revue québécoise de psychologie, 36(1), 35–56.
  • Brisson, J., de Chantal, P.-L., Lortie Forgues, H. et Markovits, H. (2014). Belief bias is stronger when reasoning is more difficult. Thinking & Reasoning, 20(3), 385–403. http://dx.doi.org/10.1080/13546783.2013.875942.
  • Markovits, H., Brunet, M.-L., Thompson, V. et Brisson, J. (2013). Direct evidence for a dual process model of deductive inference. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(4), 1213–1222. http://dx.doi.org/10.1037/a0030906.
Actes de colloque
  • Tato, A., Nkambou, R., Brisson, J. et Robert, S. (2017). Predicting Learner’s Deductive Reasoning Skills Using a Bayesian Network. Dans E. André, R. Baker, X. Hu, M.M.T. Rodrigo et B. du Boulay (dir.). Artificial Intelligence in Education: 18th International Conference, AIED 2017, Wuhan, China, June 28 – July 1, 2017, Proceedings, (p. 381-392). Cham, Suisse: Springer. http://dx.doi.org/10.1007/978-3-319-61425-0.
  • Tato, A., Nkambou, R., Brisson, J., Kenfack, C., Robert, S. et Kissok, P. (2016). A Bayesian Network for the Cognitive Diagnosis of Deductive Reasoning. Dans K. Verbert, M. Sharples et T. Klobučar (dir.). Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings, (p. 627-631). Springer. http://dx.doi.org/10.1007/978-3-319-45153-4.
  • Kenfack, C., Nkambou, R., Robert, S., Tato, A. A. N., Brisson, J. et Kissok, P. (2016). A brief overview of Logic-Muse, an intelligent tutoring system for logical reasoning skills. Dans A. Micarelli, J. Stamper et K. Panourgia (dir.). Intelligent Tutoring Systems: 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings, (p. 511-513). Springer. http://dx.doi.org/10.1007/978-3-319-39583-8.
  • Nkambou, R.T., A. A. N., Brisson, J., Kenfack, C., Robert, S. et Kissok, P. (2016). On the evaluation of the expert and the learner models of Logic-Muse tutoring system. Dans A. Micarelli, J. Stamper et K. Panourgia (dir.). Intelligent Tutoring Systems: 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings, (p. 506-50). http://dx.doi.org/10.1007/978-3-319-39583-8.
  • Nkambou, R., Kenfack, C., Robert, S. et Brisson, J. (2015). The design rationale of Logic-Muse, an ITS for logical reasoning in multiple context. Dans C. Conati, N. Heffernan, A. Mitrovic et M. Verdejo (dir.). Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings, (p.738-742). Cham, Suisse: Sprigner. http://dx.doi.org/10.1007/978-3-319-19773-9_105.
  • Nkambou, R., Brisson, J., Kenfack, C., Robert, S., Kissok, P. et Tato, A. (2015). Towards an intelligent tutoring system for logical reasoning in multiple contexts. Dans G. Conole, T. Klobučar, C. Rensing, J. Konert et É. Lavoué (dir.). Design for teaching and learning in a networked world: 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, Toledo, Spain, September 15-18, 2015, Proceedings, (p. 460-466). Springer. http://dx.doi.org/10.1007/978-3-319-24258-3_40.