Analyzing Learning Style Patterns in Higher Education: A Bibliometric Examination Spanning 1984 to 2022 Based on the Scopus Database
In an era where diversity and digitalization significantly influence higher education, understanding and adapting to various learning preferences is c.
- Pub. date: October 15, 2024
- Online Pub. date: September 11, 2024
- Pages: 1841-1857
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In an era where diversity and digitalization significantly influence higher education, understanding and adapting to various learning preferences is crucial. This study comprehensively analyzes 394 scholarly articles from 1984 to 2022 using bibliometric methods, providing a dynamic overview of the research patterns in learning styles within higher education. We identified four stages of development during this period: 1984–1995 (Low-interest), 1996–2005 (Early development), 2006–2018 (Development), and 2019–2022 (Intensification). Our analysis highlights that the United States, the United Kingdom, and Australia were the top three leading publishers of research on learning styles in higher education. The results reveal three main topics of publications: educational technology, learning environments, and subject behaviors. This research not only identifies emerging research topics but also underscores the importance of adapting instructional strategies to diverse learning styles to enhance educational outcomes in higher education.
Keywords: Bibliometric analysis, higher education, learning styles, Scopus.
References
Alonso-Martín, P., Cruz-Díaz, R., Granado-Alcón, C., Lago-Urbano, R., & Martínez-García, C. (2021). Variability of higher education students’ learning styles depending on gender, course, degree and institutional context. Sustainability, 13(4), Article 1659. https://doi.org/10.3390/su13041659
Alves, P., Miranda, L., & Morais, C. (2016). Learning styles and access to virtual learning environments in academic performance. In 15th European Conference on e-Learning-ECEL 2016 (pp. 25-32). Academic Conferences and Publishing International Limited.
Andersen, J. (2018). Preaward-Project preparation. In J. Andersen, K. Toom, S. Poli, & P. F. Miller (Eds.), Research management: Europe and beyond (pp.147-171). Academic Press. https://doi.org/10.1016/b978-0-12-805059-0.00006-7
Andrés, A. (2010). Measuring academic research: How to undertake a bibliometric study. Chandos Publishing.
Apoki, U. C., & Crisan, G. C. (2019). Employing software agents and constructivism to make massive open online courses more student-oriented. In Proceedings of the 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1-8). IEEE. https://doi.org/10.1109/ecai46879.2019.9042001
Archambault, É., Vignola-Gagné, É., Côté, G., Larivière, V., & Gingrasb, Y. (2006). Benchmarking scientific output in the social sciences and humanities: The limits of existing databases. Scientometrics, 68, 329-342. https://doi.org/10.1007/s11192-006-0115-z
Bekebrede, G., Warmelink, H. J. G., & Mayer, I. S. (2011). Reviewing the need for gaming in education to accommodate the net generation. Computers and Education, 57(2), 1521-1529. https://doi.org/10.1016/j.compedu.2011.02.010
Bernard, J., Chang, T.-W., Popescu, E., & Graf, S. (2017). Learning style identifier: Improving the precision of learning style identification through computational intelligence algorithms. Expert Systems with Applications, 75, 94-108. https://doi.org/10.1016/j.eswa.2017.01.021
Bhati, A., & Song, I. (2019). New methods for collaborative experiential learning to provide personalised formative assessment. International Journal of Emerging Technologies in Learning, 14(07), 179-194. https://doi.org/10.3991/ijet.v14i07.9173
Brewer, P. E., Racy, M., Hampton, M., Mushtaq, F., Tomlinson, J. E., & Ali, F. M. (2021). A three-arm single blind randomised control trial of naive medical students performing a shoulder joint clinical examination. BMC Medical Education, 21, Article 390. https://doi.org/10.1186/s12909-021-02822-5
Burnham, J. F. (2006). Scopus database: A review. Biomedical Digital Libraries, 3, Article 1. https://doi.org/10.1186/1742-5581-3-1
Cassidy, S. (2011). Self-regulated learning in higher education: Identifying key component processes. Studies in Higher Education, 36(8), 989-1000. https://doi.org/10.1080/03075079.2010.503269
Cassidy, S., & Eachus, P. (2000). Learning style, academic belief systems, self-report student proficiency and academic achievement in higher education. Educational Psychology, 20(3), 307-322. https://doi.org/10.1080/713663740
Cook, T. D., & Leviton, L. C. (1980). Reviewing the literature: A comparison of traditional methods with meta-analysis. Journal of Personality, 48(4), 449-472. https://doi.org/10.1111/j.1467-6494.1980.tb02379.x
Córcoles, C., Cobo, G., & Guerrero-Roldán, A. E. (2021). The usefulness of video learning analytics in small scale e-learning scenarios. Applied Sciences, 11(21), Article 10366. https://doi.org/10.3390/app112110366
Dandy, K. L., & Bendersky, K. (2014). Student and faculty beliefs about learning in higher education: implications for teaching. International Journal of Teaching and Learning in Higher Education, 26(3), 358-380. https://www.isetl.org/ijtlhe/pdf/IJTLHE1802.pdf
Daungcharone, K., Thongkoo, K., & Thanyaphongphat, J. (2020). Smart learning environment to augment the learners’ programming skills. In Proceedings of 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (pp. 293-297). IEEE. https://doi.org/10.1109/ectidamtncon48261.2020.9090736
Dekker, S., Lee, N. C., Howard-Jones, P., & Jolles, J. (2012). Neuromyths in education: Prevalence and predictors of misconceptions among teachers. Frontiers in Psychology, 3, Article 429. https://doi.org/10.3389/fpsyg.2012.00429
De Moya-Anegón, F., Chinchilla-Rodríguez, Z., Vargas-Quesada, B., Corera-Álvarez, E., Muñoz-Fernández, F. J., González-Molina, A., & Herrero-Solana, V. (2007). Coverage analysis of Scopus: A journal metric approach. Scientometrics, 73, 53-78. https://doi.org/10.1007/s11192-007-1681-4
Ding, Y., Chowdhury, G. G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using Co-word analysis. Information Processing and Management, 37(6), 817-842. https://doi.org/10.1016/s0306-4573(00)00051-0
Dippelhofer-Stiem, B. (1989). The development of research-oriented learning in five European countries. European Journal of Psychology of Education, 4(4), 489-503. https://doi.org/10.1007/bf03172712
Do, T.-T., Tinh, P. T., Tran-Thi, H.-G., Bui, D. M., Pham, T. O., Nguyen-Le, V.-A., & Nguyen, T.-T. (2021). Research on lifelong learning in Southeast Asia: A Bibliometrics review between 1972 and 2019. Cogent Education, 8(1), Article 1994361. https://doi.org/10.1080/2331186x.2021.1994361
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Duke, B. (2022). Educación superior en la década de 2020: Compromiso estudiantil y empleabilidad de graduados, entregado con pedagogía alternativa [Higher education in the 2020s: Student engagement and graduate employability, delivered with alternative pedagogy]. E-Revista de Estudos Interculturais, (10), 1-29. https://doi.org/10.34630/erei.vi10.4752
Dunn, R. (1990). Understanding the Dunn and Dunn learning styles model and the need for individual diagnosis and prescription. Journal of Reading, Writing, and Learning Disabilities International, 6(3), 223-247. https://doi.org/10.1080/0748763900060303
Egaña, M. L. D., Revuelta, M. J. C., & González, P. G. (2018). Análisis de las herramientas de medición de los estilos de aprendizaje [Analysis of the learning styles measurement tools]. Revista de Educación, (381), 95-131. https://doi.org/10.4438/1988-592X-RE-2017-381-382
Ennouamani, S., Mahani, Z., & Akharraz, L. (2020). A context-aware mobile learning system for adapting learning content and format of presentation: Design, validation and evaluation. Education and Information Technologies, 25, 3919-3955. https://doi.org/10.1007/s10639-020-10149-9
Felder, R. M., & Henriques, E. R. (1995). Learning and teaching styles in foreign and second language education. Foreign Language Annals, 28(1), 21-31. https://doi.org/10.1111/j.1944-9720.1995.tb00767.x
Feldman, J., Monteserin, A., & Amandi, A. (2014). Automatic detection of learning styles: State of the art. Artificial Intelligence Review, 44, 157-186. https://doi.org/10.1007/s10462-014-9422-6
Gambo, Y., & Shakir, M. Z. (2019). New development and evaluation model for self-regulated smart learning environment in higher education. In Proceedings of 2019 IEEE Global Engineering Education Conference (EDUCON) (pp. 990-994). IEEE. https://doi.org/10.1109/educon.2019.8725268
Ghanbarzadeh, R., & Ghapanchi, A. H. (2021). Uncovering educational outcomes deriving from students’ acceptance and involvement with 3D virtual worlds. Education and Information Technologies, 26, 311-337. https://doi.org/10.1007/s10639-020-10272-7
Goedhart, N. S., Blignaut-van Westrhenen, N., Moser, C., & Zweekhorst, M. B. (2019). The flipped classroom: Supporting a diverse group of students in their learning. Learning Environments Research, 22(2), 297-310. https://doi.org/10.1007/s10984-019-09281-2
Gupta, S., & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108. https://aisel.aisnet.org/jise/vol33/iss1/11/
Hadden, J. E. (2000). Voices inside schools - A charter to educate or a mandate to train: Conflicts between theory and practice. Harvard Educational Review, 70(4), 524-238. https://doi.org/10.17763/haer.70.4.ll706u968478xt01
Healey, M., & Jenkins, A. (2000). Kolb's experiential learning theory and its application in geography in higher education. Journal of Geography, 99(5), 185-195. https://doi.org/10.1080/00221340008978967
Hernández-Torrano, D., & Ibrayeva, L. (2020). Creativity and education: A bibliometric mapping of the research literature (1975–2019). Thinking Skills and Creativity, 35, Article 100625. https://doi.org/10.1016/j.tsc.2019.100625
Honey, P., & Mumford, A. (1992). The manual of learning styles. Peter Honey.
Hung, H.-C., & Young, S. S.-C. (2021). Unbundling teaching and learning in a flipped thermal physics classroom in higher education powered by emerging innovative technology. Australasian Journal of Educational Technology, 37(4), 89-99. https://doi.org/10.14742/ajet.6059
James, W. B., & Gardner, D. L. (1995). Learning styles: Implications for distance learning. New Directions for Adult and Continuing Education, 1995(67), 19-31. https://doi.org/10.1002/ace.36719956705
Karaman, P., & Durukan, Ç. Ş. H. (2014). Üstbilişin öğrenme, öğretme ve ölçme-değerlendirme açısından incelenmesi [An exploration of metacognition with respect to teaching, learning and assessment]. Uşak Üniversitesi Sosyal Bilimler Dergisi, 7(2), 187-202. https://bit.ly/4dLMUzN
Khan, J. (2018). Matching/mismatching of teaching and learning styles; and its effects on students’ academic achievement at tertiary level. Research on Humanities and Social Sciences, 8(5), 17-25. https://bit.ly/4dKoztV
Kleinfeld, J. (2009). No map to manhood: Male and female mindsets behind the college gender gap. Gender Issues, 26, Article 171. https://doi.org/10.1007/s12147-009-9083-y
Kolb, A. Y., & Kolb, D. A. (2005). Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2), 193-212. https://doi.org/10.5465/amle.2005.17268566
Kolb, A. Y., & Kolb, D. A. (2013). The Kolb Learning Style Inventory 4.0: A comprehensive guide to the theory, psychometrics, research on validity and educational applications. Experience Based Learning Systems. https://bit.ly/4dn6W3R
Kuhn, M., Gold, C., & Abke, J. (2015). A new problem based blended learning approach in software engineering. In Proceedings of 2015 IEEE Global Engineering Education Conference (EDUCON) (pp. 920-925). IEEE. https://doi.org/10.1109/educon.2015.7096083
Larionova, V., Sheka, A., & Vasilyev, S. (2019). Students behavioural patterns on the national open education platform. In Proceedings of the 18th European Conference on eLearning, ECEL (pp. 313-319). Academic Conferences Limited.
Le, L. D., Tran, H. V., & Hunger, A. (2013, January). Developing active collaborative e-learning framework for Vietnam’s higher education context. In Proceedings of the 12th European Conference on e-Learning (ECEL 2013) (Vol.1, pp. 240-249). Academic Conferences Limited.
Leung, L. (2006). Learners as users, and users as learners. In Proceedings of 2006 7th International Conference on Information Technology Based Higher Education and Training (pp. 541-544). IEEE. https://doi.org/10.1109/ithet.2006.339810
Long, J. (2010). Teaching adults: Insights from educational philosophy. Journal of Christianity & Education, os-53(1), 49-60. https://doi.org/10.1177/2056997110os-5300106
Magulod, G., Jr. (2019). Learning styles, study habits and academic performance of Filipino University students in applied science courses: Implications for instruction. Journal of Technology and Science Education, 9(2), 184-198. https://doi.org/10.3926/jotse.504
Martin, F., Chen, Y., Moore, R. L., & Westine, C. D. (2020). Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018. Educational Technology Research and Development, 68, 1903-1929. https://doi.org/10.1007/s11423-020-09793-2
Maya, J., Luesia, J. F., & Pérez-Padilla, J. (2021). The relationship between learning styles and academic performance: Consistency among multiple assessment methods in psychology and education students. Sustainability, 13(6), Article 3341. https://doi.org/10.3390/su13063341
Megat Mohd Zainuddin, N., Maarop, N., & Wan Hassan, W. A. (2021). Measuring satisfaction on augmented reality Courseware for hearing-impaired students: Adjustment formula form system usability scale. Asian Journal of University Education, 17(4), 340-351. https://doi.org/10.24191/ajue.v17i4.16214
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006-1012. https://doi.org/10.1016/j.jclinepi.2009.06.005
Mokoena, P. P. (2020). Are learning preferences of tourism management students at universities of technology addressed? In Proceedings of International Conference on Tourism Research (pp. 330). Academic Conferences International Limited.
Muñoz, J. L. R., Ojeda, F. M., Jurado, D. L. A., Peña, P. F. P., Carranza, C. P. M., Berríos, H. Q., Molina, S. U., Farfan, A. R. M., Arias-Gonzáles, J. L., & Vasquez-Pauca, M. J. (2022). Systematic review of adaptive learning technology for learning in higher education. Eurasian Journal of Educational Research, (98), 221-233. https://ejer.com.tr/article-view/?id=707
Nkhukhu-Orlando, E. (2015, October). Technological changes at the University of Botswana: Academics and blended learning. In Proceedings of European Conference on e-Learning (p. 730). Academic Conferences International Limited.
O'Brien, B., Tuohy, D., Fahy, A., & Markey, K. (2019). Home students' experiences of intercultural learning: A qualitative descriptive design. Nurse Education Today, 74, 25-30. https://doi.org/10.1016/j.nedt.2018.12.005
Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105-119. https://doi.org/10.1111/j.1539-6053.2009.01038.x
Patra, S. M., & Shastry, K. (2022). Effective teaching for millennial learner. Journal of Engineering Education Transformations, 35(4), 129-136. https://doi.org/10.16920/jeet/2022/v35i4/22112
Pham, H. T., Vu, T. C., Nguyen, L. T., Vu, N.-T. T., Nguyen, T. C., Pham, H.-H. T., Lai, L. P., Le, H.-C. T., & Ngo, C. H. (2023). Professional development for science teachers: A bibliometric analysis from 2001 to 2021. Eurasia Journal of Mathematics, Science and Technology Education, 19(5), Article em2260. https://doi.org/10.29333/ejmste/13153
Phan, T. T., Do, T. T., Trinh, T. H., Tran, T., Duong, H. T., Trinh, T. P. T., Do, B. C., & Nguyen, T.-T. (2022). A bibliometric review on realistic mathematics education in Scopus database between 1972-2019. European Journal of Educational Research, 11(2), 1133-1149. https://doi.org/10.12973/eu-jer.11.2.1133
Phuong, T. T. T., Nguyen, T.-T., Danh, N. N., Ngo Van, D., Luong, H. D., Nguyen, L. V. A., & Tran, T. (2023). Digital transformation in education: A bibliometric analysis using Scopus. European Science Editing, 49, Article e107138. https://doi.org/10.3897/ese.2023.e107138
Pick, A. M., Begley, K. J., & Augustine, S. (2017). Changes in teaching strategies to accommodate a new generation of learners: A case study. Pharmacy Education, 17(1), 95-99. https://bit.ly/46FkeWP
Popescu, E. (2009). Diagnosing students' learning style in an educational hypermedia system. In C. Mourlas, N. Tsianos, & P. Germanakos (Eds.), Cognitive and Emotional Processes in Web-Based Education: Integrating Human Factors and Personalization (pp. 187-208). IGI Global. https://doi.org/10.4018/978-1-60566-392-0.ch011
Pramod, D., Vijayakumar Bharathi, S., & Raman, R. (2022). Faculty effectiveness prediction using machine learning and text analytics. In Proceedings of 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE) (pp. 40-47). IEEE. https://doi.org/10.1109/temsconeurope54743.2022.9801997
Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), Article 12. https://doi.org/10.3390/publications9010012
Rasmitadila, R., Rachmadtullah, R., Samsudin, A., Tambunan, A. R. S., Khairas, E. E., & Nurtanto, M. (2020). The benefits of implementation of an instructional strategy model based on the brain's natural learning systems in inclusive classrooms in higher education. International Journal of Emerging Technologies in Learning, 15(18), 53-72. https://doi.org/10.3991/ijet.v15i18.14753
Rasmitadila, Widyasari, & Prasetyo, T. (2022). Instructional strategy model based on reciprocal teaching model (ISM-RTM): Case study in inclusive classrooms in higher education. Kasetsart Journal of Social Sciences, 43(2), 293-302 https://doi.org/10.34044/j.kjss.2022.43.2.05
Razali, F., Sulaiman, T., Ayub, A. F. M., & Majid, N. A. (2022). Effects of learning accessibility as a mediator between learning styles and blended learning in higher education institutions during the COVID-19 pandemic. (2022). Asian Journal of University Education, 18(2), 569-584. https://doi.org/10.24191/ajue.v18i2.18189
Reid, J. M. (1987). The learning style preferences of ESL students. TESOL Quarterly, 21(1), 87-111. https://doi.org/10.2307/3586356
Sáiz-Manzanares, M. C., Marticorena-Sánchez, R., Muñoz-Rujas, N., Rodríguez-Arribas, S., Escolar-Llamazares, M.-C., Alonso-Santander, N., Martínez-Martín, M. A., & Mercado-Val, E. I. (2021). Teaching and learning styles on Moodle: An analysis of the effectiveness of using STEM and Non-STEM qualifications from a gender perspective. Sustainability, 13(3), Article 1166. https://doi.org/10.3390/su13031166
Simonová, I. (2014). If you could choose, how would you show your teacher what you have learned? In Proceedings of European Conference on e-Learning (p. 485). Academic Conferences International Limited.
Susilana, R., Dewi, L., Rullyana, G., Hadiapurwa, A., & Khaerunnisa, N. (2022). Can microlearning strategy assist students’ online learning? Jurnal Cakrawala Pendidikan, 41(2), 437-451. https://doi.org/10.21831/cp.v41i2.43387
Thanyaphongphat, J., & Panjaburee, P. (2019). Effects of a personalised ubiquitous learning support system based on learning style-preferred technology type decision model on university students' SQL learning performance. International Journal of Mobile Learning and Organisation, 13(3), 233-254. https://doi.org/10.1504/ijmlo.2019.10020104
Tom, G., & Calvert, S. (1984). Learning style as a predictor of student performance and instructor evaluations. Journal of Marketing Education, 6(2), 14-17. https://doi.org/10.1177/027347538400600204
Tovar, E., Carrillo, J., & Colomo, R. (2007). Proposal of an educational model for technical courses in the context of the European convergence in higher education. In Proceeding of 37th Annual Frontiers in Education Conference - Global Engineering: Knowledge without Borders, Opportunities Without Passports (pp. T1A-12-T1A-17). IEEE. https://doi.org/10.1109/fie.2007.4418116
Triyanto, & Handayani, R. D. (2018). Comparing learning motivation and learning style between natural science and social science students in higher education. International Journal of Innovation and Learning, 23(3), 304-317. https://doi.org/10.1504/ijil.2018.10010770
Vajargah, K. F., & Khoshnoodifar, M. (2013). Toward a distance education based strategy for internationalization of the curriculum in higher education of Iran. Turkish Online Journal of Educational Technology, 12(1), 147-160.
Vermunt, J. D. (1996). Metacognitive, cognitive and affective aspects of learning styles and strategies: A phenomenographic analysis. Higher Education, 31(1), 25-50. https://doi.org/10.1007/bf00129106
Villalonga-Gómez, C., & Mora-Cantallops, M. (2021). Profiling distance learners in TEL environments: A hierarchical cluster analysis. Behaviour and Information Technology, 41(7), 1439-1452. https://doi.org/10.1080/0144929x.2021.1876766
Wanna, W. O., & de Jesus Simões, M. F. (2021). Impact of learning styles on higher distance learning. Journal of Higher Education Theory and Practice, 21(1), 166-178. https://doi.org/10.33423/jhetp.v21i1.4047
Yamakawa, K., Usagawa, T., Chisaki, Y., Ueno, A., Umeda, K., Umeda, I., & Imanishi, T. (2006). Development of an utterance training e-learning system for L2 learners of Japanese. In Proceeding of 2006 7th International Conference on Information Technology Based Higher Education and Training (pp. 531-535). IEEE. https://doi.org/10.1109/ithet.2006.339808
Yousef, D. A. (2016). Learning styles preferences of statistics students. Quality Assurance in Education, 24(2), 227-243. https://doi.org/10.1108/qae-01-2014-0004
Zhang, M., & Zhang, R. (2020). The hotspots and trends of adaptive learning: A visualized analysis based on CiteSpace. International Journal of Information and Education Technology, 10(5), 394-398. https://doi.org/10.18178/ijiet.2020.10.5.1396
Zhong, L., Qi, C., & Gao, Y. (2022). Deep learning-assisted performance evaluation system for teaching SCM in the higher education system. Information Resources Management Journal, 35(3), 1-22. https://doi.org/10.4018/irmj.304454