Scenario-based training: Director's cut

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Abstract

Research regarding autonomous learning shows that freeplay does not result in optimal learning. Combining scenario-based training with intelligent agent technology offers the possibility to create autonomous training enriched with automated adaptive support delivered by a director agent. We conducted an experiment to investigate whether directing training scenarios improves the quality of training. Six instructors rated video fragments of directed and non-directed scenarios in terms of learning value. Results show that the instructors consider directed scenarios to be considerably more effective for learning than non-directed scenarios. Implications for the design of a director agent are discussed. © 2011 Springer-Verlag Berlin Heidelberg.

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Peeters, M., Van Den Bosch, K., Meyer, J. J. C., & Neerincx, M. A. (2011). Scenario-based training: Director’s cut. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6738 LNAI, pp. 264–271). https://doi.org/10.1007/978-3-642-21869-9_35

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