Download PDF by Paula J. Durlach, Alan M. Lesgold: Adaptive Technologies for Training and Education

By Paula J. Durlach, Alan M. Lesgold

ISBN-10: 0174251157

ISBN-13: 9780174251156

ISBN-10: 0521769035

ISBN-13: 9780521769037

This edited quantity offers an summary of the newest developments in adaptive education know-how. clever tutoring has been deployed for well-defined and comparatively static academic domain names reminiscent of algebra and geometry. even though, 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, resembling in the course of scenario-based simulation and immersive critical video games. so one can handle the best way to extend the succeed in of adaptive education expertise to those domain names, major specialists within the box current their paintings in parts corresponding to pupil modeling, pedagogical process, wisdom evaluation, normal language processing, and digital human brokers. a number of methods to designing adaptive know-how are mentioned for either conventional academic settings education domain names. This e-book will entice someone interested by academic and coaching expertise at a certified point, together with researchers, education structures builders, and architects.

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Challenges and future of learner modeling. Personal communication, June 6, 2006, 1–4. , Yeasin, M, & Sharma, R. (2003). Improving continuous gesture recognition with spoken prosody. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 565–570. Kinshuk, & Lin, T. (2004). Cognitive profiling towards formal adaptive technologies in Webbased learning communities. International Journal of WWW-based Communities, 1(1), 103–108. Kobsa, A. 1993. User modeling: Recent work, prospects and hazards.

Instances of these ontologies can be reasoned over by a learning environment to provide content (and peer help) recommendations. , via Semantic Web specifications) and provide a clear set of deduction rules as well as extensive tool support. dealing with learner control issues Learners often want to control their learning environment. One strategy that addresses this desire is to allow them partial control of the process. According to Jameson (2006), there are several ways to divide the job of making a learning-path decision by the system versus the learner (see Wickens & Hollands, 2000, chapter 13).

The justified user model: A viewable, explained user model. In A. Kobsa, & D. ), Proceedings of the Fourth International Conference on User Modeling UM94 (pp. 145–150). Hyannis, MA: MITRE, UM Inc. Craig, S. , Graesser, A. , & Gholson, B. (2004). Affect and learning: An exploratory look into the role of affect in learning with AutoTutor. Journal of Educational Media, 29(3), 241–250. , & Self, J. (1989). Collaborative intelligent educational systems. In D. Bierman, J. Breuker, & J. ), Proceedings of Artificial Intelligence and Education (pp.

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Adaptive Technologies for Training and Education by Paula J. Durlach, Alan M. Lesgold

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