Learning Style Preferences Among Adults: A Scoping Review with Implications for Agricultural Education

Authors

DOI:

https://doi.org/10.5032/jae.v67i2.3193

Keywords:

Learning Styles, PRISMA, Scoping Review, Agricultural education

Abstract

Agriculture plays a central role in economic development, environmental sustainability, and food-system resilience, and agricultural education and Extension are key mechanisms for supporting learning and adoption in this domain. Learning styles remain a theme in education and practice, yet the evidence base is fragmented across multiple, non-equivalent frameworks and agricultural education and Extension related studies are comparatively limited in the indexed literature. To map how learning styles have been represented and operationalized in diverse contexts, this study employed a scoping review approach. Empirical studies of adult learners were identified through multidisciplinary database searches and targeted hand searches of agricultural education and Extension journals, yielding 40 included studies. Across the studies, 15 distinct learning style frameworks were identified, with Kolb’s Learning Style Inventory (LSI) used most frequently. Framework use differed by source, with agricultural education and Extension studies relying more heavily on a narrower set of instruments (e.g., GEFT, Gregorc) than multidisciplinary studies. Reported learning style preferences varied across audiences and contexts, and the included studies did not provide consistent evidence that identifying a preferred learning style was reliably associated with learning outcomes or performance. The findings support caution in treating “learning style” as a single construct and suggest that learning style measures to be used as a heuristic for designing varied instructional approaches that support engagement and perceived fit. Future agricultural education and Extension research may benefit from stronger alignment between conceptual definitions and measurement choices.

Downloads

Download data is not yet available.

References

Adenuga, A. H., Jack, C., Ashfield, A., & Wallace, M. (2021). Assessing the impact of participatory extension programme membership on farm business performance in Northern Ireland. Agriculture, 11, 949. https://doi.org/10.3390/agriculture11100949 DOI: https://doi.org/10.3390/agriculture11100949

Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616 DOI: https://doi.org/10.1080/1364557032000119616

Bailey, B. S., Lindner, J. R., & Parr, B. (2017). An examination of Georgia young farmer program participants’ learning style preferences. Journal of Human Sciences and Extension, 5(3), 6. https://doi.org/10.54718/FSUS1350 DOI: https://doi.org/10.54718/FSUS1350

Baker, M., Hoover, T., & Rudd, R. (1998). Characteristics of Florida extension professionals that influence the teaching–learning process. Journal of Extension, 36(1), 50-60.

Banerjee, M., & Hausafus, C. O. (2009). Dominant teaching practices of FCS college faculty. Journal of Family and Consumer Sciences, 101(3), 39–46.

Borun, M., Schaller, D., Chambers, M., & Allison-Bunnell, S. (2010). Implications of learning style, age group, and gender for developing online learning activities. Visitor Studies, 13(2), 145–159. https://doi.org/10.1080/10645571003621513 DOI: https://doi.org/10.1080/10645571003621513

Carbone, E. T., Lennon, K. M., Torres, M. I., & Rosal, M. C. (2006). Testing the feasibility of an interactive learning styles measure for US Latino adults with type 2 diabetes and low literacy. International Quarterly of Community Health Education, 25(4), 315–335. https://doi.org/10.2190/88J7-1432-2377-55K7 DOI: https://doi.org/10.2190/88J7-1432-2377-55K7

Cassidy, S. (2004). Learning styles: An overview of theories, models, and measures. Educational Psychology, 24(4), 419–444. https://doi.org/10.1080/0144341042000228834 DOI: https://doi.org/10.1080/0144341042000228834

Chen, D., Liu, J., Zhang, D., Dong, Z., & Xu, T. (2024). Impact of ecological cognitive bias on pesticide reduction by natural rubber farmers in China: Insight from price insurance satisfaction. Agriculture, 14, 1633. https://doi.org/10.3390/agriculture14091633 DOI: https://doi.org/10.3390/agriculture14091633

Chavas, J., & Nauges, C. (2020). Uncertainty, learning, and technology adoption in agriculture. Applied Economic Perspectives and Policy, 42, 42-53. https://doi.org/10.1002/aepp.13003. DOI: https://doi.org/10.1002/aepp.13003

Ciporen, R. (2010). The role of personally transformative learning in leadership development: A case study. Journal of Leadership & Organizational Studies, 17(2), 177–191. https://doi.org/10.1177/1548051810368544 DOI: https://doi.org/10.1177/1548051810368544

Coffield, F., Ecclestone, K., Hall, E., & Moseley, D. (2004). Learning styles and pedagogy in post-16 learning: A systematic and critical review. Learning and Skills Research Centre.

Cohn, W. F., Lyman, J., Broshek, D. K., Guterbock, T. M., Hartman, D., Kinzie, M., Mick, D., Pannone, A., Sturz, V., Schubart, J., & Garson, A. T. (2018). Tailored educational approaches for consumer health: A model to address health promotion in an era of personalized medicine. American Journal of Health Promotion, 32(1), 188–197. https://doi.org/10.1177/0890117116671082 DOI: https://doi.org/10.1177/0890117116671082

Collins, C. S., Nanda, S., Palmer, B. A., Mohabbat, A. B., Schleck, C. D., Mandrekar, J. N., Mahapatra, S., Beckman, T. J., & Wittich, C. M. (2019). A cross-sectional study of learning styles among continuing medical education participants. Medical Teacher, 41(3), 318–324. https://doi.org/10.1080/0142159X.2018.1464134 DOI: https://doi.org/10.1080/0142159X.2018.1464134

Cook, D., Thompson, W., Thomas, K., & Thomas, M. (2009). Lack of interaction between sensing–intuitive learning styles and problem-first versus information-first instruction: A randomized crossover trial. Advances in Health Sciences Education, 14(1), 79–90. https://doi.org/10.1007/s10459-007-9089-8 DOI: https://doi.org/10.1007/s10459-007-9089-8

Cooper, H. (2017). Research Synthesis and Meta-Analysis: A Step-by-Step Approach. SAGE. DOI: https://doi.org/10.4135/9781071878644

Cox, D. E., Sproles, E. K., & Sproles, G. B. (1988). Learning style variations among vocational agriculture students. Journal of Agricultural Education, 29(1), 11-19. DOI: https://doi.org/10.5032/jaatea.1988.01011

Czech, K., Ochnio, L., Wielechowski, M., & Zabolotnyy, S. (2024). Financial literacy: Identification of the challenges, needs, and difficulties among adults living in rural areas. Agriculture, 14, 1705. https://doi.org/10.3390/agriculture14101705 DOI: https://doi.org/10.3390/agriculture14101705

D'Angelo, T., Harsh, J., Bunch, J. C., Lamm, A., Thoron, A., & Roberts, T. G. (2019). Exploring learning styles expressed in teaching philosophies among agriculture university teaching faculty. Journal of Agricultural Education, 60(1), 283-295. https://doi.org/10.5032/jae.2019.01283 DOI: https://doi.org/10.5032/jae.2019.01283

Davis, G. A. (2006a). Learning style and personality type preferences of community development extension educators. Journal of Agricultural Education, 47(1), 90-99. https://doi.org/10.5032/jae.2006.01090 DOI: https://doi.org/10.5032/jae.2006.01090

Davis, G. (2006b). Avoiding the" rut" in program development and delivery: Improving our understanding of learning style preferences. Journal of Extension, 44(4), 1-9.

Dinakar, C., Adams, C., Brimer, A., & Silva, M. D. (2005). Learning preferences of caregivers of asthmatic children. Journal of Asthma, 42(8), 683–687. https://doi.org/10.1080/02770900500265157 DOI: https://doi.org/10.1080/02770900500265157

Dreyfus, C. R. (2008). Identifying competencies that predict effectiveness of R&D managers. Journal of Management Development, 27(1), 76–91. DOI: https://doi.org/10.1108/02621710810840776

Dyer, J. E., & Osborne, E. W. (1996). Effects of teaching approach on achievement of agricultural education students with varying learning styles. Journal of Agricultural Education, 37, 43-51. https://doi.org/10.5032/jae.1996.03043 DOI: https://doi.org/10.5032/jae.1996.03043

Engleberg, N. C., Schwenk, T., & Gruppen, L. D. (2001). Learning styles and perceptions of the value of various learning modalities before and after a 2nd-year course in microbiology and infectious diseases. Teaching & Learning in Medicine, 13(4), 253–257. https://doi.org/10.1207/S15328015TLM1304_07 DOI: https://doi.org/10.1207/S15328015TLM1304_07

Friedel, C. R. (2007). Dissimilar cognitive styles and their relationships with undergraduate student stress, motivation, and engagement [ProQuest Information & Learning]. In Dissertation Abstracts International Section A: Humanities and Social Sciences, 68, Issue 1–A, p. 103.

Garton, B. L., Spain, J. N., Lamberson, W. R., & Spiers, D. E. (1999). Learning styles, teaching performance, and student achievement: A relational study. Journal of Agricultural Education, 40(3), 11-20. https://doi.org/10.5032/jae.1999.03011 DOI: https://doi.org/10.5032/jae.1999.03011

Gomez, C., Espinosa, H., & Betancur, F. (2023). Farmer, learning and teaching: A cluster analysis of technology adopters in avocado farming in Colombia. Tropical and Subtropical Agroecosystems. https://doi.org/10.56369/tsaes.4434 DOI: https://doi.org/10.56369/tsaes.4434

Goyal, N., Wice, M., Kinsbourne, M., & Castano, E. (2017). A picture is worth a thousand words: The influence of visuospatial and verbal cognitive styles on empathy and willingness to help. Social Psychology, 48(6), 372–379. https://doi.org/10.1027/1864-9335/a000318 DOI: https://doi.org/10.1027/1864-9335/a000318

Groves, K., Vance, C., & Paik, Y. (2008). Linking linear/nonlinear thinking style balance and managerial ethical decision-making. Journal of Business Ethics, 80(2), 305–325. https://doi.org/10.1007/s10551-007-9422-4 DOI: https://doi.org/10.1007/s10551-007-9422-4

Honigsfeld, A., & Schiering, M. (2004). Diverse approaches to the diversity of learning styles in teacher education. Educational Psychology, 24(4), 487–507. DOI: https://doi.org/10.1080/0144341042000228861

Hoover, T., & Connor, N. J. (2001). Preferred learning styles of Florida association for family and community education volunteers: Implications for professional development. Journal of Extension, 39(3), n3.

Huffman, W. E., & Orazem, P. F. (2007). Agriculture and human capital in economic growth: Farmers, schooling and nutrition. Handbook of Agricultural Economics, 3, 2281-2341. DOI: https://doi.org/10.1016/S1574-0072(06)03043-X

Johnson, S. B., Carter, H. S., & Kaufman, E. K. (2008). Learning styles of farmers and others involved with the Maine potato industry. Journal of Extension, 46(4), 22.

Karalliyadda, S. (2017). Learning style and academic performance of first year agricultural undergraduates: A case in Rajarata University of Sri Lanka. Journal of Agricultural Sciences, 12, 34-42. https://doi.org/10.4038/jas.v12i1.8204 DOI: https://doi.org/10.4038/jas.v12i1.8204

Keefe, J. W. (1979). Learning style: An overview. In J. W. Keefe, & O. B. Kiernan (Eds.), Student Learning Styles: Diagnosing and Prescribing Programs (Vol. 1, pp. 1-17). National Association of Secondary School Principles.

Kirschner, P. A., & Hendrick, C. (2020). How learning happens: Seminal works in educational psychology and what they mean in practice. Routledge. DOI: https://doi.org/10.4324/9780429061523

Knoll, A. R., Otani, H., Skeel, R. L., & Van Horn, K. R. (2017). Learning style, judgements of learning, and learning of verbal and visual information. British Journal of Psychology, 108(3), 544–563. https://doi.org/10.1111/bjop.12214 DOI: https://doi.org/10.1111/bjop.12214

LaCharite, K. (2016). Re-visioning agriculture in higher education: The role of campus agriculture initiatives in sustainability education. Agriculture and Human Values 33, 521–535. https://doi.org/10.1007/s10460-015-9619-6 DOI: https://doi.org/10.1007/s10460-015-9619-6

Li, J., Liu, G., Chen, Y., & Li, R. (2023). Study on the influence mechanism of adoption of smart agriculture technology behavior. Scientific Reports, 13. https://doi.org/10.1038/s41598-023-35091-x. DOI: https://doi.org/10.1038/s41598-023-35091-x

Massa, L. J., & Mayer, R. E. (2006). Testing the ATI hypothesis: Should multimedia instruction accommodate verbalizer-visualizer cognitive style? Learning and Individual Differences, 16, 321–336. https://doi.org/10.1016/j.lindif.2006.10.001 DOI: https://doi.org/10.1016/j.lindif.2006.10.001

Mccann, B. M. (2006). The relationship between learning styles, learning environments, and student success. Journal of Agricultural Education, 47(3), 14-23. https://doi.org/10.5032/jae.2006.03014 DOI: https://doi.org/10.5032/jae.2006.03014

Mendelson, A. L. (2004). For whom is a picture worth a thousand words? Effects of the visualizing cognitive style and attention on processing of news photos. Journal of Visual Literacy, 24(1), 1–22. https://doi.org/10.1080/23796529.2004.11674600 DOI: https://doi.org/10.1080/23796529.2004.11674600

Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18, 1-7. https://doi.org/10.1186/s12874-018-0611-x DOI: https://doi.org/10.1186/s12874-018-0611-x

Myers, B. E., & Dyer, J. E. (2006). The influence of student learning style on critical thinking skill. Journal of Agricultural Education, 47(1), 43-52. https://doi.org/10.5032/jae.2006.01043 DOI: https://doi.org/10.5032/jae.2006.01043

Overbay, A., Patterson, A. S., & Grable, L. (2009). On the outs: Learning styles, resistance to change, and teacher retention. Contemporary Issues in Technology and Teacher Education, 9(3), 356–370.

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews, BMJ, 372. https://doi.org/10.1136/bmj.n71 DOI: https://doi.org/10.1136/bmj.n71

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 DOI: https://doi.org/10.1111/j.1539-6053.2009.01038.x

Roberts, T. G. (2006). The influence of student learning experience level and learning style on achievement. Journal of Agricultural Education, 47(4), 112-122. https://doi.org/10.5032/jae.2006.04112 DOI: https://doi.org/10.5032/jae.2006.04112

Roberts, T. G., & Dyer, J. E. (2005). The relationship of self-efficacy, motivation, and critical thinking disposition to achievement and attitudes when an illustrated web lecture is used in an online learning environment. Journal of Agricultural Education, 46(2), 12-23. https://doi.org/10.5032/jae.2005.02001 DOI: https://doi.org/10.5032/jae.2005.02012

Robinson, G. (2002). Do general practitioners’ risk-taking propensities and learning styles influence their continuing medical education preferences? Medical Teacher, 24(1), 71–78. https://doi.org/10.1080/01421590120091078 DOI: https://doi.org/10.1080/01421590120091078

Rollins, T. J., & Yoder, E. P. (1993). Agents’ learning preferences. Journal of Extension, 31(2).

Sahasrabudhe, V., & Kanungo, S. (2014). Appropriate media choice for e-learning effectiveness: Role of learning domain and learning style. Computers & Education, 76, 237–249. https://doi.org/10.1016/j.compedu.2014.04.006 DOI: https://doi.org/10.1016/j.compedu.2014.04.006

Sanders, C. E., Byrd, A. R., Gibson, K. E., Golson, A., Lamm, K. W., & Lamm, A. J. (2023). Teaching systems-thinking concepts with hypothetical case scenarios: An exploration in food-systems science education. Foods, 12(14), 1-20. https://doi.org/10.3390/foods12142663 DOI: https://doi.org/10.3390/foods12142663

Schenck, J., & Cruickshank, J. (2015). Evolving Kolb: Experiential education in the age of neuroscience. Journal of Experiential Education, 38(1), 73–95. https://doi.org/10.1177/1053825914547153 DOI: https://doi.org/10.1177/1053825914547153

Schöning, J., Wachter, P., & Trautz, D. (2023). Crop rotation and management tools for every farmer?: The current status on crop rotation and management tools for enabling sustainable agriculture worldwide. Smart Agricultural Technology, 3, 100086. DOI: https://doi.org/10.1016/j.atech.2022.100086

Shava, S., Krasny, M. E., Tidball, K. G., & Zazu, C. (2010). Agricultural knowledge in urban and resettled communities: applications to social–ecological resilience and environmental education. Environmental Education Research, 16(5–6), 575–589. https://doi.org/10.1080/13504622.2010.505436 DOI: https://doi.org/10.1080/13504622.2010.505436

Smith, K. L., & Rayfield, J. (2017). Student teaching changed me: A look at Kolb’s learning style inventory scores before and after the student teaching experience. Journal of Agricultural Education, 58(1), 102-117. https://doi.org/10.5032/jae.2017.01102 DOI: https://doi.org/10.5032/jae.2017.01102

Sørensen, L. B., Germundsson, L. B., Hansen, S. R., Rojas, C., & Kristensen, N. H. (2021). What skills do agricultural professionals need in the transition towards a sustainable agriculture? A qualitative literature review. Sustainability, 13(24), 13556. DOI: https://doi.org/10.3390/su132413556

Stetson, T. E. (2007). Rules versus principles: Accountants’ cognitive styles and professional penalties. Journal of Psychological Type, 67(12), 115–128.

Treffinger, D. J., Selby, E. C., & Isaksen, S. G. (2008). Understanding individual problem-solving style: A key to learning and applying creative problem solving. Learning & Individual Differences, 18(4), 390–401. https://doi.org/10.1016/j.lindif.2007.11.007 DOI: https://doi.org/10.1016/j.lindif.2007.11.007

United Nations. (n.d.). Food Security and Nutrition and sustainable agriculture | Department of Economic and Social Affairs. United Nations. https://sdgs.un.org/topics/food-security-and-nutrition-and-sustainable-agriculture

Warner, W. & McKim, A. J. (2023). The art and science of teaching agriculture: Four keys to dynamic learning (Whittington, M. Susie, Rick Rudd, and Jack Elliot, ed.). Blacksburg: Virginia Tech Department of Agricultural, Leadership, and Community Education. https://doi.org/10.21061/teachagriculture. DOI: https://doi.org/10.21061/teachagriculture

Weiler, C. S., Keller, J. K., & Olex, C. (2012). Personality type differences between Ph.D. climate researchers and the general public: Implications for effective communication. Climatic Change, 112(2), 233–242. https://doi.org/10.1007/s10584-011-0205-7 DOI: https://doi.org/10.1007/s10584-011-0205-7

Whittington, M. S., & Raven, M. F. (1995). Learning and teaching styles of student teachers in the northwest. Journal of Agricultural Education, 36(4), 10-17. https://doi.org/10.5032/jae.1995.04010 DOI: https://doi.org/10.5032/jae.1995.04010

Yamazaki, Y., & Kayes, D. C. (2007). Expatriate learning: Exploring how Japanese managers adapt in the United States. International Journal of Human Resource Management, 18(8), 1373–1395. https://doi.org/10.1080/09585190701502521 DOI: https://doi.org/10.1080/09585190701502521

You, Z., & Jia, F. (2008). Do they learn differently? An investigation of the pre-service teachers from US and China. Teaching and Teacher Education: An International Journal of Research and Studies, 24(4), 836–845. DOI: https://doi.org/10.1016/j.tate.2007.11.007

Downloads

Published

04/17/2026

How to Cite

Lamm, K. W., Lamm, A. J., Trojan, S., & Fan, H. (2026). Learning Style Preferences Among Adults: A Scoping Review with Implications for Agricultural Education. Journal of Agricultural Education, 67(2), Article 7. https://doi.org/10.5032/jae.v67i2.3193

Issue

Section

Journal of Agricultural Education

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 8 > >>