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• Systems
  ...on modeling learner knowledge of the subject. Individual models of learner knowledge that our systems maintain are used to guide learners to the most appropriat ...computing student models, including thresholded averaging, asymptotic user knowledge assessment, time-spent-reading.
  20 KB (2,680 words) - 02:59, 22 April 2024
• Publications
  * Rahdari, B., Brusilovsky, P., Thaker, K., Barria-Pineda, J. (2020). '''Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks.''' EC-TEL ..., B., Brusilovsky, P., Thaker, K., & Barria-Pineda, J. (2020, July). Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Text
  13 KB (1,653 words) - 03:24, 22 April 2024
• Topics
  * [[Knowledge Sea]]
  2 KB (153 words) - 15:39, 6 December 2023
• Adaptive Electronic Textbooks
  ...ceedings of Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, ACM, pp. 907-915. ...right content. Bringing analogy with recommender systems, the traditional knowledge-based approach was more like content-based filtering, while social navigati
  11 KB (1,434 words) - 16:50, 24 May 2021