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A 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
Corbeil, J.-P., Gagnon, M., & Richard, P. R. (2020, June). Probabilistic approaches to detect blocking states in intelligent tutoring system [Paper]. 16th International Conference on Intelligent Tutoring Systems (ITS 2020), Athens, Greece. 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
Font, L., Cyr, S., Richard, P. R., & Gagnon, M. (2019, August). Automating the generation of high school geometry proofs using Prolog in an educational context [Paper]. 8th International Workshop on Theorem Proving Components for Educational Software, (ThEdu 2019), Natal, Brazil (16 pages). External link
Font, L., Richard, P. R., & Gagnon, M. (2017, August). Improving QED-Tutrix by automating the generation of proofs [Paper]. 6th International Workshop on Theorem Proving Components for Educational Software (ThEdu 2017), Gothenburg, Sweden. Published in Electronic Proceedings in Theoretical Computer Science, 267. External link
Richard, P. R., Venant, F., & Gagnon, M. (2019). Issues and challenges in instrumental proof. In Proof Technology in Mathematics Research and Teaching (Vol. 14, pp. 139-172). External link
Richard, P. R., Gagnon, M., & Fortuny, J. M. (2016, July). Connectedness of Problems and Impasse Resolution in the Solving Process in Geometry: A Major Educational Challenge [Paper]. 13th International Congress on Mathematical Education (ICME 2016), Hamburg, Germany. External link
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