Title

Translating Learning Theories Into Physiological Hypotheses

Keywords

Adaptive training; Augmented cognition; Learning efficiency

Abstract

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. © 2009 Springer.

Publication Date

12-1-2009

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

5638 LNAI

Number of Pages

678-686

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-02812-0_77

Socpus ID

77952004269 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77952004269

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