By Paula J. Durlach, Alan M. Lesgold
This edited quantity presents an outline of the most recent developments in adaptive education expertise. clever tutoring has been deployed for well-defined and comparatively static academic domain names akin to algebra and geometry. despite the fact that, this adaptive method of computer-based education has but to return into wider utilization for domain names which are much less good outlined or the place student-system interactions are much less established, similar to in the course of scenario-based simulation and immersive severe video games. so that it will tackle how you can extend the succeed in of adaptive education know-how to those domain names, prime specialists within the box current their paintings in components corresponding to pupil modeling, pedagogical method, wisdom overview, normal language processing, and digital human brokers. a number of techniques to designing adaptive expertise are mentioned for either conventional academic settings education domain names. This ebook will entice a person concerned about academic and coaching know-how at a certified point, together with researchers, education platforms builders, and architects.
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Extra info for Adaptive Technologies for Training and Education
2001). Parental involvement and students’ academic achievement: A meta-analysis. Educational Psychology Review, 13(1), 1–22. , & Kobsa, A. (2000). A review and analysis of commercial user modeling servers for personalization on the world wide web. User Modeling and User-Adapted Interaction, 10, 209–249. , & White, B. (2002). Conceptualizing and constructing linked models: Creating coherence in complex knowledge systems. In P. Brna, M. Baker, K. Stenning, & A. ), The role of communication in learning to model (pp.
Collaborative learning environment An alternative approach to individualized learning is collaborative learning – that is, the notion that students, working together, can learn more than by themselves, especially when they bring complementary, rather than identical, contributions to the joint enterprise (Cumming & Self, 1989). Collaboration is a process by which “individuals negotiate and share meanings relevant to the problemsolving task at hand” (Teasley & Roschelle, 1993, p. 229). , probabilistic machine learning) for modeling knowledge-sharing interactions among different learners.
Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1, 3–17. , & Woolf, B. (2000). High-level student modeling with machine learning. Proceedings of the 5th International Conference on Intelligent Tutoring Systems, 584–593. , & the Teachable Agent Group at Vanderbilt (TAG-V) (2001). Technology support for complex problem solving: From SAD environments to AI. In K. D. Forbus & P. J. ), Smart machines in education: The coming revolution in educational technology (pp.