Scenario-based Training : Director’s Cut

conference paper
2011
Peeters, M.M.M.

Bosch, K. van den

Meyer, J.J.C.

Neerincx, M.A.
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.
Topics
Intelligent agentsAutonomous trainingDirector agentFreeplayIntelligent agent technologyScenario-based trainingTraining scenarioVideo fragmentsArtificial intelligenceAutonomous agents
TNO Identifier
445411
Repository link
https://resolver.tno.nl/uuid:0065ecc8-fd68-4e4a-936a-0cb9331689aa
ISSN
03029743
ISBN
9783642218
Publisher
Springer
Source title
15th International Conference on Artificial Intelligence in Education, AIED 2011, 28 June 2011 through 1 July 2011, Auckland
Editor(s)
Metcalfe, J.
Biswas, G.
Bull, S.
Kay, J.
Mitrovic, A.
Place of publication
Berlin-Heidelberg
Pages
264-272
Files
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