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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.
Beheshti, B. (2016). Empirical Means to Validate Skills Models and Assess the Fit of a Student Model [Ph.D. thesis, École Polytechnique de Montréal]. Available
Beheshti, B., & Desmarais, M. C. (2014, July). Predictive performance of prevailing approaches to skills assessment techniques: Insights from real vs. synthetic data sets [Paper]. 7th Conference on Educational Data Data Mining (EDM 2014), London, England. External link
Desmarais, M. C., Beheshti, B., & Xu, P. (2014, July). The refinement of a Q-matrix: Assessing methods to validate tasks to skills mapping [Paper]. 7th Conference on Educational Data Data Mining (EDM 2014), London, England. External link
Desmarais, M. C., & Beheshti, B. (2012, July). Improving matrix factorization techniques of student test data with partial order constraints [Paper]. 20th Conference on User Modeling Adaptation and Personalization (UMAP 2012), Montréal, Québec. External link
Desmarais, M. C., Beheshti, B., & Naceur, R. (2012, June). Item to skills mapping: deriving a conjunctive Q-matrix from data [Paper]. 11th International Conference Intelligent Tutoring Systems (ITS 2012), Chania, Grèce. External link
Desmarais, M. C., Naceur, R., & Beheshti, B. (2012, July). Linear models of student skills for static data [Paper]. 20th Conference on User Modeling Adaptation and Personalization (UMAP 2012), Montréal, Québec. External link
Desmarais, M. C., Beheshti, B., & Naceur, R. (2012, June). Methods to find the number of latent skills [Paper]. 5th International Conference on of Educational Data Mining (EDM 2012), Chania, Grèce. External link