Scenario-Based Training: Director’s Cut

  • Marieke Peeters
  • Karel van den Bosch
  • John-Jules Ch. Meyer
  • Mark A. Neerincx
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6738)

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.

Keywords

intelligent agents autonomous training director agent 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marieke Peeters
    • 1
    • 2
  • Karel van den Bosch
    • 2
  • John-Jules Ch. Meyer
    • 1
    • 2
  • Mark A. Neerincx
    • 2
    • 3
  1. 1.Information and Computing SciencesUtrecht UniversityThe Netherlands
  2. 2.Training InnovationsTNO - Human FactorsThe Netherlands
  3. 3.Electrical Engineering, Mathematics and Computer ScienceDelft University of TechnologyThe Netherlands

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