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Improved Modeling of Intelligent Tutoring Systems Using Ant Colony Optimization
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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
The Myers-Briggs Type Indicator: A Jungian Model for Problem Solving.
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McCaulley, Mary H. – New Directions for Teaching and Learning, 1987
An overview of Jung's theory of psychological type, a problem-solving model, types of students in different college majors, predictions about teaching problem solving to students, practical applications of the theory to the teaching of problem solving, and strategies that develop skills in perception and judgment are presented. (MLW)
Descriptors: College Instruction, College Students, Critical Thinking, Educational Strategies
Models for Learning and How They're Connected--Relating Bloom, Jung, and Perry.
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Woods, Donald R. – Journal of College Science Teaching, 1993
Describes the interactions and applications of three models of learning: Bloom's taxonomy, the Jungian or Myers-Brigg's Typology, and William Perry's model of attitude toward learning. (PR)
Descriptors: College Science, Cooperative Learning, Educational Psychology, Engineering Education