eISSN: 3079-3971 / ISSN: 3079-3963
Register
Login
Journal of Innovation in Research and Education
2025, Volume 3, Issue 1 : 1-5
Research Article
Learning Styles and Academic Performance: Examining the Relationship Between Learning Preferences and Student Achievement
 ,
 ,
1
Department of Educational Psychology, Global Institute of Education, New York, USA
2
Faculty of Learning Sciences and Assessment, International University of Innovation, Kuala Lumpur, Malaysia
3
School of Educational Research and Development, Pacific Academic University, Sydney, Australia
Abstract

Learning styles have long been considered an important factor influencing student learning and academic success. Educational researchers and practitioners have argued that students possess unique preferences for processing, organizing, and retaining information. Understanding these preferences may enable educators to design instructional strategies that enhance learning outcomes. This study investigates the relationship between learning styles and academic performance among university students. A quantitative correlational research design was employed involving 800 undergraduate students from multiple academic disciplines. Data were collected using the VARK (Visual, Auditory, Read/Write, Kinesthetic) Learning Style Questionnaire and academic performance records. Statistical analyses including descriptive statistics, correlation analysis, ANOVA, and multiple regression were conducted. Findings reveal significant associations between learning preferences, learning engagement, study habits, and academic achievement. Students who demonstrated multimodal learning preferences generally achieved higher academic performance than those relying on a single learning style. The study highlights the importance of diverse instructional approaches and personalized learning environments in enhancing student success.

 

Keywords
License
Copyright (c) Journal of Innovation in Research and Education
Creative Commons Attribution License Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
J. Innov. Res. Educ. open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
Recommended Articles
AI-Powered Adaptive Assessment Systems in Higher Education
1-6
ChatGPT and Its Impact on Academic Learning Outcomes: Exploring Opportunities, Challenges, and Future Implications of Artificial Intelligence in Education
1-5
Intelligent Tutoring Systems and Student Engagement: Evaluating the Impact of AI-Driven Learning Support on Educational Outcomes
1-6
AI-Assisted Curriculum Development in Modern Education: Transforming Educational Design Through Artificial Intelligence
1-5
Journal of Innovation in Research and Education
support@jireonline.comd
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license. Open Access Publication.
Copyright © ©Journal of Innovation in Research and Education. All rights reserved.
|
|
|