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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Aymemo, J. M. F., Gagnon, M., Gauthier, J., Leduc, N., Puertas, E., Richard, P. R., Rosu, C., & Tessier-Baillargeon, M. (2010, January). Theoretical fundaments for an intelligent tutorial system towards the learning of geometry at a high school level [Paper]. Interoperable Interactive Geometry Conference, 12GEO 2010, Hluboká nad Vltavou (Czech Republic). External link
Font, L., Gagnon, M., Leduc, N., & Richard, P. (2022). Intelligence in QED-Tutrix: Balancing the Interactions Between the Natural Intelligence of the User and the Artificial Intelligence of the Tutor Software. In Richard, P. R., Pilar Vélez, M., & Van Vaerenbergh, S. (eds.), Mathematics Education in the Age of Artificial Intelligence : How Artificial Intelligence can Serve Mathematical Human Learning (Vol. 17, pp. 45-76). External link
Leduc, N. (2016). QED-Tutrix : système tutoriel intelligent pour l'accompagnement des élèves en situation de résolution de problèmes de démonstration en géométrie plane [Ph.D. thesis, École Polytechnique de Montréal]. Available
Leduc, N. (2001). Généralisation du modèle delta-lognormal pour l'étude des mouvements en trois dimensions [Master's thesis, École Polytechnique de Montréal]. Available
Richard, P. R., Gagnon, M., Fortuny, J. M., Leduc, N., & Tessier-Baillargeon, M. (2013). Means of Choice for Interactive Management of Dynamic Geometry Problems Based on Instrumented Behaviour. American Journal of Computational Mathematics, 3(3B), 41-51. Available
Richard, P. R., Fortuny, J. M., Gagnon, M., Leduc, N., Puertas, E., & Tessier-Baillargeon, M. (2011). Didactic and theoretical-based perspectives in the experimental development of an intelligent tutorial system for the learning of geometry. ZDM, 43(3), 425-439. External link
Richard, P. R., Leduc, N., Tessier-Baillargeon, M., & Gagnon, M. (2010, June). Contribution of a computer algebra system (CAS) in the solving of problems in geometry with the help of an emerging tutorial system [Paper]. Computer Algebra and Dynamic Geometry Systems in Mathematics Education, Hluboká nad Vltavou (Czech Republic). Unavailable
Tessier-Baillargeon, M., Leduc, N., Richard, P. R., & Gagnon, M. (2017, February). QED-Tutrix: creating and expanding a problem database towards personalized problem itineraries for proof learning [Paper]. 10th Congress of European Research in Mathematics Education (CERME 2017), Dublin, Ireland. External link
Tessier, M., Richard, P. R., Leduc, N., & Gagnon, M. (2016). Conception et analyse de geogebratutor, un système tutoriel intelligent : genèse d'un espace de travail géométrique iodine. Revista Latinoamericana de Investigación en Matemática Educativa, 17(4(II)), 303-326. External link
