Visualizing Adaptive Learning Effects on Clinical Skill Acquisition and Decay

  • Phillip M. Mangos
  • Ari Bodaghee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8534)


The purpose of this paper is to present a visualization tool, grounded in modern psychometric theory, for optimizing the parameters of adaptive training systems. The tool can be used in a research capacity to rapidly visualize the course, trajectory, and shape of one’s learning curves resulting from different adaptive training conditions and how these are affected by conditions intrinsic to both the task domain and the learner.


Adaptive training skill acquisition data visualization medical simulation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Embretson, S.E., Reise, S.P.: Item response theory for psychologists. Lawrence Erlbaum Associates, Mahwah (2000)Google Scholar
  2. 2.
    Kanfer, R., Ackerman, P.L.: Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology 74, 657–690 (1989)CrossRefGoogle Scholar
  3. 3.
    Mangos, P.M., Campbell, G., Lineberry, M., Bolton, A.: Emergent assessment opportunities: A foundation for configuring adaptive training environments. In: Durlach, P.J., Lesgold, A.M. (eds.) Adaptive Technologies for Training and Education, pp. 222–235. Cambridge University Press, Cambridge (2012)CrossRefGoogle Scholar
  4. 4.
    Muthén, L.K., Muthén, B.O.: Mplus: Statistical analysis with latent variables: User’s guide. Muthén & Muthén, Los Angeles (2010)Google Scholar
  5. 5.
    Snow, R.E., Lohman, D.F.: Toward a theory of cognitive aptitude for learning from instruction. Journal of Educational Psychology 76, 347–376 (1984)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Phillip M. Mangos
    • 1
  • Ari Bodaghee
    • 1
  1. 1.BattlePulse TechnologiesUSA

Personalised recommendations