A General Framework and Control Theoretic Approach for Adaptive Interactive Learning Environments

Alexander Streicher (), Rainer Schönbein () and Stefan Wolfgang Pickl ()
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Alexander Streicher: Fraunhofer IOSB
Rainer Schönbein: Fraunhofer IOSB
Stefan Wolfgang Pickl: Universität der Bundeswehr München

A chapter in Dynamics of Disasters, 2021, pp 243-257 from Springer

Abstract: Abstract From a system’s theoretical point of view, adaptive learning systems (ALS) for education and training contain in their core – in a simplified form – closed feedback control loops in which the control is determined by the measured users’ performance. Improving this performance can increase the learning outcome, especially for critical disciplines such as education or training for disaster risk management. However, for this special form of intelligent (e-learning) assistance systems, learning theories and behavioral models have to be considered, e.g., game flow theory, cognition models, or learning models. The research question is how adaptive interactive learning environments (ILE) such as serious games and computer simulations can be characterized and analyzed to determine optimal adaptation strategies. Adaptive learning environments should adapt to the context-related needs of the user in order to ensure and optimize learning success, especially for disaster management training. This contribution presents a concept for an interoperable, adaptive ILE framework which follows control theory and its models, contributing to the state of the art for adaptive games or simulations in disaster risk management.

Keywords: Adaptivity; Assistance systems; Interactive learning environments; Modeling of human performance; Closed-loop feedback (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-64973-9_15

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