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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
Fatahi, Somayeh; Moradian, Shakiba – International Association for Development of the Information Society, 2018
Emotions and personality are important parts of human characteristics and they play a significant role in parts of adaptive e-learning systems, it is essential to consider them in designing these systems. This paper presents an empirical study on the impact of using an adaptive e-learning environment based on learner's personality and emotion.…
Descriptors: Emotional Response, Personality Traits, Electronic Learning, Educational Technology
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
Cotler, Jami L. – ProQuest LLC, 2016
As computer-meditated communication continues to evolve and become more sophisticated and accessible, the applications for this technology continue to grow. One area that has garnered a considerable amount of attention is online teaching and learning. Research has shown increasing evidence that learning outcomes of face-to-face, in comparison to…
Descriptors: Personality Measures, Online Courses, Educational Technology, Emotional Intelligence
Lee, Chen Kang; Sidhu, Manjit Singh – Educational Technology & Society, 2015
Engineering educators have been increasingly taking the learning style theories into serious consideration as part of their efforts to enhance the teaching and learning in engineering. This paper presents a research study to investigate the learning style preference of the mechanical engineering students in Universiti Tenaga Nasional (UNITEN),…
Descriptors: Engineering Education, Cognitive Style, Measures (Individuals), Preferences
Mellish, Linda L. – ProQuest LLC, 2012
Online learning continues to be a growing frontier in higher education with increased demand and enrollments reported annually (Allen & Seaman, 2010, 2011). Discovering best practices and methods of instruction as well as assisting students in determining their highest possible level of success in this type of learning environment has been the…
Descriptors: Online Courses, Personality Traits, Educational Technology, Correlation
Rose, Daniel Merritt – ProQuest LLC, 2012
The purpose of this research was to examine the connections between personality types as illustrated by the Myers Briggs Type Indicator and the desire for social presence components within a technology based learning environment. Participants in the study were undergraduate and graduate students enrolled in an educational technology program at a…
Descriptors: Personality Traits, Cognitive Style, Semi Structured Interviews, Feedback (Response)
Mehigan, Tracey J.; Pitt, Ian – International Journal of Game-Based Learning, 2012
Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…
Descriptors: Cognitive Style, Teaching Methods, Educational Games, Telecommunications
Nguyen, Dat-Dao; Zhang, Yue – Journal of College Teaching & Learning, 2011
This study uses the Learning-Style Inventory--LSI (Smith & Kolb, 1985) to explore to what extent student attitudes toward learning process and outcome of online instruction and Distance Learning are affected by their cognitive styles and learning behaviors. It finds that there are not much statistically significant differences in perceptions…
Descriptors: Electronic Learning, Feedback (Response), Cognitive Style, Student Attitudes
Harris, La Verne Abe; Sadowski, Mary S.; Birchman, Judy A. – Engineering Design Graphics Journal, 2006
Kolb (2004) and others have defined learning style as a preference by which students learn and remember what they have learned. This presentation will include a summary of learning style research published in the "Engineering Design Graphics Journal" over the past 15 years on the topic of learning styles and graphics education. The…
Descriptors: Cognitive Style, Periodicals, Drafting, Measures (Individuals)

Smith, Brenda; And Others – Journal of Instructional Psychology, 1995
This study of intermediate and secondary teachers' personality types, based on the Myers-Briggs Type Indicator, suggests that the Intuitive-Thinking types were more likely to use technology than the Sensory-Feeling types. Educators need to design programs for pre- and inservice teachers about how to best implement technology in the classroom. (LRW)
Descriptors: Computer Attitudes, Educational Technology, Intermediate Grades, Personality Traits
McNulty, John A.; Sonntag, Beth; Sinacore, James M. – Anatomical Sciences Education, 2009
Web-based computer-aided instruction (CAI) has become increasingly important to medical curricula. This multi-year study investigated the effectiveness of CAI and the factors affecting level of individual use. Three CAI were tested that differed in specificity of applicability to the curriculum and in the level of student interaction with the CAI.…
Descriptors: Medical Students, Cognitive Style, Computer Assisted Instruction, Student Surveys
Hoerner, John Martin, Jr. – 1998
Finding the right match between a particular instructional technology and a learning style can be just as important for students as finding the right match between their instructors' teaching styles and their own learning styles. This study examines the effectiveness of three instructional methodologies for teaching television lighting methods…
Descriptors: Cognitive Style, Educational Technology, Higher Education, Instructional Effectiveness
Melear, Claudia Tarver – 1989
Curry's model of learning style framework with Claxton and Murrell's adaptations was used to study the profile of non-majors in a college biology course. The purpose of the study was to provide empirically derived data in both a qualitative and quantitative format of the non-major to improve the course. Over 600 students were administered the…
Descriptors: Biology, Cognitive Processes, Cognitive Style, Cognitive Tests

Rude-Parkins, Carolyn; And Others – Computers in the Schools, 1993
Discusses roles that people adopt when encountering new technology, i.e., innovators, resisters, and leaders; explains the Myers Briggs Type Indicator personality measure; and describes a study that was conducted to identify the personality types of high school teachers who participated in technology training and were successful in adopting…
Descriptors: Adoption (Ideas), Educational Technology, Inservice Teacher Education, Instructional Innovation
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