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Personality and its effects on learning performance: Design guidelines for an adaptive e-learning system based on a user model

Title
Personality and its effects on learning performance: Design guidelines for an adaptive e-learning system based on a user model
Author
류호경
Keywords
User model; Design guideline; Learning styles; Personality trait; Learning performance; MBTI; Depth-first and breadth-first design; Forward learning; Top-down learning strategy
Issue Date
2013-05
Publisher
Elsevier Science B.V
Citation
International Journal of Industrial Ergonomics, 43(5), P.450-461
Abstract
An increasingly widespread interest in developing fully adaptable e-learning systems (e.g., intelligent tutoring systems) has led to the development of a wide range of adaptive processes and techniques. In particular, advances in these systems are based on optimization for each user's learning style and characteristics, to enable a personalized learning experience. Current techniques are aimed at using a learner's personality traits and its effect on learning preferences to improve both the initial learning experience and the information retained (e.g., top-down or bottom-up learning organization). This study empirically tested the relationship between a learner's personality traits, analyzed the effects of these traits on learning preferences, and suggested design guidelines for adaptive learning systems. Two controlled experiments were carried out in a computer-based learning session. Our first experiment showed a significant difference in the learning performance of participants who were identified as introverts vs. those who were identified as being extroverts, according to the MBTI scale. As the distinction between extroverted personality types vs. introverted personality types showed the strongest correlation in terms of different learning styles, we used this criteria in our second experiment to determine whether design guidelines for appropriate content organization could reinforce the aforementioned correlation between personality type and learning experience. Relevance to industry: The findings from this article provide how one can practically apply personality traits to the design of e-learning systems. The structure and level of extraversion could be the features to be examined in this regard. (C) 2013 Elsevier B.V. All rights reserved.
URI
http://dx.doi.org/10.1016/j.ergon.2013.03.001http://hdl.handle.net/20.500.11754/45390
ISSN
0169-8141
DOI
10.1016/j.ergon.2013.03.001
Appears in Collections:
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
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