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Nagaletchimee Annamalai; Darwalis Sazan – Educational Process: International Journal, 2025
Background/purpose: This study examines integrating the VARK learning style model into Learning Management Systems (LMS) to create more personalized learning experiences. The VARK model classifies the learners as Visual, Auditory, Reading, Writing, or Kinesthetic, enabling tailored instructional strategies. Materials/methods: By employing an…
Descriptors: Student Attitudes, Preferences, Cognitive Style, Learning Strategies
Feucht, Florian C.; Holmgren, Chelsea R. – Journal of Visual Impairment & Blindness, 2018
Introduction: The authors of this study evaluated the necessary features of tactile maps to provide independent, efficient, and safe travel across a university campus; and a process for developing tactile maps based on user needs and preferences. Methods: Participants who have low vision provided input, through interviews and field tests,…
Descriptors: Visual Impairments, Blindness, Tactual Perception, Media Adaptation
Allegretti, Rosette M. – ProQuest LLC, 2010
Typical college classrooms consist of auditory lectures with very little variety. Frequently, with large quantities of difficult material such as literature and writing assignments, undergraduate students become anxious about maintaining their grades. This problem is more prevalent with first-year students, who are still adjusting to the college…
Descriptors: Undergraduate Students, College Freshmen, Comparative Analysis, Conventional Instruction
Wilson, Vicki – 1996
Biology I students (n=166) in a high school in southern Mississippi completed the Learning Styles Inventory, a 45-item instrument designed to measure preference for channel of learning (visual, auditory, or kinesthetic), sociological environment (individually or in groups), and mode of expression (oral or written). A three-way analysis of variance…
Descriptors: Active Learning, Analysis of Variance, Auditory Perception, Biology
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Slater, Jill A.; Lujan, Heidi L.; DiCarlo, Stephen E. – Advances in Physiology Education, 2007
Students have specific learning style preferences, and these preferences may be different between male and female students. Understanding a student's learning style preference is an important consideration when designing classroom instruction. Therefore, we administered the visual, auditory, reading/writing, kinesthetic (VARK) learning preferences…
Descriptors: Medical Students, Cognitive Style, Questionnaires, Gender Differences
Bargar, June R.; And Others – 1994
Understanding learning differences and how they function in the classroom is important to both students and teachers. The learning preferences described in this handbook are based on the concepts of psychological type developed by Carl Jung. Jung identified three sets of psychological processes, the areas of attitude (orientation), perception, and…
Descriptors: Cognitive Style, Decision Making, Extraversion Introversion, Individual Differences

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