Summary
The use of scenario-based simulations and serious games for training has been well-accepted in many domains. Simulations require active processing and provide intrinsic feedback in an environment in which it is safe to make mistakes; however, reaping training benefits from this kind of training is often highly dependent on support from human instructors who select training scenarios, observe trainee behavior, and provide feedback, prompts, and reflective discussion. Applying the techniques of intelligent tutoring to simulation-based training could reduce reliance on human instructors. Schatz, Bowers, and Nicholson (2009) refer to this integration of intelligent tutoring strategies with simulation-based training as “advanced situated tutors.” Advanced situated tutors include student models whose data are used to apply adaptive instructional strategies to selection of simulation events, instructional content, and instructional support.
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© 2011 Springer-Verlag Berlin Heidelberg
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Durlach, P.J. (2011). International workshop on Authoring Simulation and Game-Based Intelligent Tutoring. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_134
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DOI: https://doi.org/10.1007/978-3-642-21869-9_134
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