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Rastegarmoghadam, Mahin; Ziarati, Koorush – Education and Information Technologies, 2017
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…
Descriptors: Teaching Methods, Problem Solving, Intelligent Tutoring Systems, Educational Technology
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Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung – Educational Technology & Society, 2013
A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…
Descriptors: Electronic Learning, Extraversion Introversion, Individual Differences, Learning Activities
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Perry, Chris; Ball, Ian – Teacher Development, 2004
This study explores issues in teacher education that increase our understanding of, and response to, the individual differences displayed by learners. A large undergraduate teacher education cohort provided evidence of the range and distribution of preferences in learning styles, psychological types and multiple intelligences. This information…
Descriptors: Preservice Teacher Education, Multiple Intelligences, Cognitive Style, Education Courses
Wahl, Sharon C. – 1992
This descriptive study proposed to use the Myers Briggs Type Indicator (MBTI) to identify the learning styles of registered nurses who have returned to school, and to recommend teaching strategies based on commonalities of their learning styles. The MBTI was administered to 240 registered nurses who were enrolled in either a leadership course in…
Descriptors: Adult Students, Cognitive Style, College Students, Educational Strategies