Skip to main content
SpringerLink
Log in

Scenario-Based Training: Director’s Cut

  • Conference paper
Artificial Intelligence in Education (AIED 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Baker, R.S.J., D’Mello, S.K., Rodrigo, M., Mercedes, T., Graesser, A.C.: Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive-affective states during interactions with three computer-based learning environments. Int. J. Hum-Comp. St. 68(4), 223–241 (2010)

    Article  Google Scholar 

  2. Blumberg, B., Galyean, T.: Multi-level Control for Animated Autonomous Agents: Do the Right Thing.. Oh, Not That.. In: Creating Personalities for Synthetic Actors, Towards Autonomous Personality Agents, pp. 74–82. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  3. van den Bosch, K., Harbers, M., Heuvelink, A., van Doesburg, W.: Intelligent agents for training on-board fire fighting. In: Duffy, V.G. (ed.) ICDHM 2009. LNCS, vol. 5620, pp. 463–472. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Cannon-Bowers, J., Burns, J., Salas, E., Pruitt, J.: Advanced Technology in Scenario-Based Training. In: Making Decisions Under Stress: Implications for Individual and Team Training, ch, pp. 365–374. APA, Washington DC (1998)

    Chapter  Google Scholar 

  5. Kirschner, P., Sweller, J., Clark, R.: Why minimal guidance during instruction does not work. Educational Psychologist 41(2), 75–86 (2006)

    Article  Google Scholar 

  6. Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  7. Magerko, B., Wray, R.E., Holt, L.S., Stensrud, B.: Customizing interactive training through individualized content and increased engagement. In: I/ITSEC (2005)

    Google Scholar 

  8. Marsella, S.C., Johnson, W.L., LaBore, C.: Interactive pedagogical drama. In: 4th International Conference on Autonomous Agents, pp. 301–308 (2000)

    Google Scholar 

  9. Merrill, M.D.: First principles of instruction. ETR&D 50(3), 43–59 (2002)

    Article  MathSciNet  Google Scholar 

  10. Miao, Y., Hoppe, U., Pinkwart, P.: Situation creator: A pedagogical agent creating learning opportunities. In: 13th International Conference on AIED, pp. 614–617 (2007)

    Google Scholar 

  11. Murray, T., Arroyo, I.: Toward measuring and maintaining the zone of proximal development in adaptive instructional systems. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 749–758. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Oser, R.L.: A structured approach for scenario-based training. In: 43rd HFES Annual Meeting, pp. 1138–1142 (1999)

    Google Scholar 

  13. Rieber, L.P.: Seriously considering play. ETR&D 44(2), 43–58 (1996)

    Article  Google Scholar 

  14. Riedl, M.O., Stern, A., Dini, D., Alderman, J.: Dynamic experience management in virtual worlds for entertainment, education, and training. ITSSA, Special Issue on Agent Based Systems for Human Learning 4(2), 23–42 (2008)

    Google Scholar 

  15. Vygotsky, L.S.: Mind in Society: the Development of Higher Psychological Processes. Harvard University Press, Cambridge (1978)

    Google Scholar 

  16. Westra, J., Hasselt, H.v., Dignum, F., Dignum, V.: Adaptive serious games using agent organizations. Agents for Games and Simulations, 206–220 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Information and Computing Sciences, Utrecht University, The Netherlands

    Marieke Peeters & John-Jules Ch. Meyer

  2. Training Innovations, TNO - Human Factors, The Netherlands

    Marieke Peeters, Karel van den Bosch, John-Jules Ch. Meyer & Mark A. Neerincx

  3. Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands

    Mark A. Neerincx

Authors
  1. Marieke Peeters
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Karel van den Bosch
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. John-Jules Ch. Meyer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mark A. Neerincx
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Peeters, M., van den Bosch, K., Meyer, JJ.C., Neerincx, M.A. (2011). Scenario-Based Training: Director’s Cut. 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_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21869-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation