Translating Learning Theories into Physiological Hypotheses

  • Jennifer J. Vogel-Walcutt
  • Denise Nicholson
  • Clint Bowers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5638)


The battlefield has become an increasingly more complicated setting in which to operate. Additional stressors, complexity, and novel situations have challenged not only those in the field, but consequently also those in training. More information must be imparted to the trainees, yet more time is not available. Thus, in this paper, we consider one way to optimize the delivery and acquisition of knowledge that can be meaningfully applied to the field setting. We hypothesize that for learning efficiency to be maximized, we need to keep learners in a constant state of engagement and absorption. As such, we consider neuro-physiological hypotheses that can help prescribe mitigation strategies to reduce the impact of sub-optimal learning.


Learning efficiency Augmented cognition Adaptive training 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jennifer J. Vogel-Walcutt
    • 1
  • Denise Nicholson
    • 1
  • Clint Bowers
    • 2
  1. 1.Institute for Simulation and TrainingUniveristy of Central FloridaOrlandoUSA
  2. 2.Department of PsychologyUniveristy of Central FloridaOrlandoUSA

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