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Publikācija: Building a Learner Psychophysiological Model Based Adaptive e-Learning Systems: A General Framework and its Implementation

Publication Type Article in a collection of scientific publications or a chapter in a monograph with ISBN or ISSN
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Building a Learner Psychophysiological Model Based Adaptive e-Learning Systems: A General Framework and its Implementation
Monogrāfijas nosaukums Advances in Databases and Information Systems: Lecture Notes in Computer Science. Vol.5968
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Authors Tatjana Rikure
Leonīds Novickis
Keywords Learners’ modeling, Psychophysiological state, Learning system, Adaptation, Biofeedback sensors
Abstract The capability of recognizing the „human factor” considerably improves the Human-Computer-Interaction process and the impact of learning as well. High efficiency of a learner psychophysiological model based e-Learning systems is achieved due to adaptation ability to learners’ real-time emotional behavior during training session. In the paper an approach for building adaptive Learning systems with a model of learner’s psychophysiological state is discussed. Biofeedback sensors are used to get real-time data about user’s psychophysiological state during training sessions. The research results on measuring and analyzing user’s psychophysiological responses from biofeedback sensors are described. Idea of “dual adaptation” is presented. Case study of the conducted by author research experiments is presented.
DOI: 10.1007/978-3-642-12082-4_5
Hyperlink: http://link.springer.com/chapter/10.1007/978-3-642-12082-4_5 
Reference Rikure, T., Novickis, L. Building a Learner Psychophysiological Model Based Adaptive e-Learning Systems: A General Framework and its Implementation. In: Advances in Databases and Information Systems: Lecture Notes in Computer Science. Vol.5968. Berlin: Springer Berlin Heidelberg, 2010. pp.31-38. ISBN 9783642120817.
ID 9201