Investigating the Effects of Cognitive Style on the Motivation of Students Enrolled in a Team-Based Learning Formatted Agricultural Mechanics Course at Louisiana State University

Authors

DOI:

https://doi.org/10.5032/jae.v66i1.2784

Keywords:

agricultural mechanics, motivation, undergraduate students

Abstract

Educators have a plethora of teaching methods that allow them to tailor the learning environment to meet students’ needs. One novel instructional approach that has grown in popularity in U.S. higher education has been the flipped classroom approach, which has become a popular way to embrace a student-centered learning environment. Of the various types of flipped classrooms, team-based learning allows students to learn content outside of classroom time and spend more time doing hands-on activities as a team in a laboratory environment. This study aimed to describe the effect of cognitive style on the motivation of undergraduate students enrolled in an introductory agricultural mechanics course at Louisiana State University. Descriptive statistics, including means, frequencies, and standard deviations, were utilized to test the hypothesis and gain a holistic understanding of the data. We also conducted a Mann-Whitney U test to determine if a statistically significant difference existed between motivation and cognitive style. No statistically significant differences were found between cognitive style and motivation. However, the more innovative students in this investigation had higher motivation scores than those identified as more adaptive.

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References

Artz, G. M., Jacobs, K. L., & Boessen, C. R. (2016). The whole is greater than the sum: An empirical analysis of the effect of team-based learning on student achievement. NACTA Journal, 60(4), 405−411. http://www.nactateachers.org/index

Blackburn, J. J., Robinson, J. S., & Lamm, A. J. (2014). How cognitive style and problem complexity affect preservice agricultural education teachers’ abilities to solve problems in agricultural mechanics. Journal of Agricultural Education, 55(4), 133–147. https://doi.org/10.5032/jae.2014.04133 DOI: https://doi.org/10.5032/jae.2014.04133

Blackburn, J. J., & Robinson, J. S. (2016). Determining the effects of cognitive style, problem complexity, and hypothesis generation on the problem solving ability of school-based agricultural education students. Journal of Agricultural Education, 57(2), 46–59. https://doi.org/10.5032/jae.2016.02046 DOI: https://doi.org/10.5032/jae.2016.02046

Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. In D. T. Campbell & J. C. Stanley (Eds.)., Handbook of research on teaching. Routledge.

Dixon, R. A., & Johnson, S. D. (2011). Experts vs. novices: Differences in how mental Representations Are Used in Engineering Design. Journal of Technology Education, 23(1), 47–65. https://scholar.lib.vt.edu/ejournals/JTE/v23n1/pdf/dixon.pdf DOI: https://doi.org/10.21061/jte.v23i1.a.5

Eisner, S. (2010). Grave new world? Workplace skills for today’s college graduates. American Journal of Business Education (AJBE), 3(9), 27–50. https://doi.org/10.19030/ajbe.v3i9.478 DOI: https://doi.org/10.19030/ajbe.v3i9.478

Frederickson, N., Reed, P., & Clifford, V. (2005). Evaluating web-supported learning versus lecture-based teaching: Quantitative and qualitative perspectives. The International Journal of Higher Education and Educational Planning, 50(4), 645−664. https://www.learntechlib.org/p/64947/ DOI: https://doi.org/10.1007/s10734-004-6370-0

Figland, W. L., Blackburn, J. J., & Roberts, R. (2020a). Undergraduate students’ perceptions of team-based learning during an introductory agricultural mechanics course: A mixed methods study. Journal of Agricultural Education, 61(1), 262–276. https://doi.org/10.5032/jae.2020.01262 DOI: https://doi.org/10.5032/jae.2020.01262

Figland, W. L., & Roberts, R., & Blackburn, J. J. (2020b). Reconceptualizing problem solving: Applications for the delivery of agricultural education’s comprehensive, three-circle model in the 21st Century. Journal of Southern Agricultural Education Research, 70(1), 1–20. http://jsaer.org/wp-content/uploads/2020/09/70-Figland-Roberts-Blackburn.pdf

Figland, W. L., Blackburn, J. J., Stair, K. S., & Burnet, M. F. (2021). Investigating the effects of cognitive style diversity on the hypothesis generation and troubleshooting ability of undergraduate students enrolled in an introductory agricultural Mechanics Course at Louisiana State University. Journal of Agricultural Education, 62(1), 156–169. https://doi.org/10.5032/jae.2021.01156 DOI: https://doi.org/10.5032/jae.2021.01156

Fuhrmann, B. S., & Grasha, A. F. (1983). The past, present, and future in college teaching: Where does you teaching fit in? Little, Brown, and Company.

García-Pérez, L., García-Garnica, M., & Olmedo-Moreno, E. M. (2021). Skills for a working future: How to bring about professional success from the educational setting. Education Sciences, 11(1), 27–42. https://doi.org/10.3390/educsci11010027 DOI: https://doi.org/10.3390/educsci11010027

Gitomer, D. H. (1988). Individual differences in technical troubleshooting. Human Performance, 1(2), 111–131. https://doi.org/10.1207/s15327043hup0102_3 DOI: https://doi.org/10.1207/s15327043hup0102_3

Gokhale, A. A. (1995). Collaborative learning enhances critical thinking. Journal of Technology Education, 7(1), 22−30. https://scholar.lib.vt.edu/ejournals/JTE/v7n1/pdf/gokhale.pdf DOI: https://doi.org/10.21061/jte.v7i1.a.2

Granberry, T., Blackburn, J.J., & Roberts, R. (2023). The state of agricultural mechanics in the preparation of school-based agricultural education teachers. Journal of Agricultural Education, 64(4). https://doi.org/10.5032/jae.v64i4.160 DOI: https://doi.org/10.5032/jae.v64i4.160

Granberry, T., Roberts, R., & Blackburn, J. J. (2022). “A challenge that I’m willing to take on:” The self-efficacy of female undergraduate students in agricultural mechanics. Journal of Agricultural Education, 63(3), 44–58. https://doi.org/10.5032.jae.2022.03044 DOI: https://doi.org/10.5032/jae.2022.03044

Johnson, S. D. (1989). A description of expert and novice performance differences on technical troubleshooting tasks. Journal of Industrial Teacher Education, 26(3), 19–37. https://doi.org/10.1111/j.1937-8327.1988.tb00021.x DOI: https://doi.org/10.1111/j.1937-8327.1988.tb00021.x

Johnson, S. D. (1991). Productivity, the workforce, and technology education. Journal of Technology Education, 2(2), 1−18. https://scholar.lib.vt.edu/ejournals/JTE/v2n2/pdf/johnson.pdf DOI: https://doi.org/10.21061/jte.v2i2.a.4

Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology: Research and Development, 48(4), 63−85. http://link.springer.come/article/10.007%2FBF02300500LI=true#page-1 DOI: https://doi.org/10.1007/BF02300500

Keller, J. M. (2010). Motivational design for learning and performance: The ARCS model approach. Springer. DOI: https://doi.org/10.1007/978-1-4419-1250-3

Kirton, M. J. (1999). Kirton adaption-innovation inventory feedback booklet. Occupational Research Center.

Kirton, M. J. (2003). Adaption-innovation: In the context of diversity and change. Routlage. DOI: https://doi.org/10.4324/9780203695005

Kirton, M., Bailey, A., & Glendinning, W. (1991). Adaptors and innovators: Preference for educational procedures. The Journal of Psychology, 125(4), 445–455. https://psycnet.apa.org/doi/10.1080/00223980.1991.10543307 DOI: https://doi.org/10.1080/00223980.1991.10543307

Lage, M. J., Platt, G. J., & Treglia, M. (2000). Inverting the classroom: A gateway to creating an inclusive learning environment. The Journal of Economic Education, 31(1), 30–43. https://www.tandfonline.com/doi/abs/10.1080/00220480009596759 DOI: https://doi.org/10.1080/00220480009596759

Lamm, A. J., Shoulders, C., Roberts, T. G., Irani, T. A., Unruh, L. J., & Brendemuhl, J. (2012). The influence of cognitive diversity on group problem solving strategy. Journal of Agricultural Education, 53(1), 18–30. https://doi.org/10.5032/jae.2012.01018 DOI: https://doi.org/10.5032/jae.2012.01018

McCubbins, O. P., Paulsen, T. H., & Anderson, R. (2018). Student engagement in a team-based capstone course: A comparison of what students do and what instructors value. Journal of Research in Technical Careers, 2(1), 8−21. https://doi.org/10.9741/2578-2118.1029 DOI: https://doi.org/10.9741/2578-2118.1029

McCubbins, O. P., Paulsen, T. H., & Anderson, R. G. (2016). Student perceptions concerning their experience in a flipped undergraduate capstone course. Journal of Agricultural Education, 57(3), 70–86. https://doi.org/10.5032/jae.2016.03070 DOI: https://doi.org/10.5032/jae.2016.03070

Michaelsen, L. K., & Sweet, M. (2008). The essential elements of team‐based learning. New Directions for Teaching and Learning, 2008(116), 7−27. 1 https://doi.org/10.1002/tl.330 DOI: https://doi.org/10.1002/tl.330

Michaelsen, L. K., Knight, A. B., & Fink, L. D. (2004). Team-based learning: A transformative use of small groups. Stylus Publishing, LLC.

Nieder, G. L., Parmelee, D. X., Stolfi, A., & Hudes, P. D. (2005). Team-based learning in a medical gross anatomy and embryology course. Clinical Anatomy, 18(1), 56–63. https://doi.org/10.1002/ca.20040 DOI: https://doi.org/10.1002/ca.20040

Pate, M. L., & Miller, G. (2011a). Effects of regulatory self-questioning on secondary students’ problem-solving performance. Journal of Agricultural Education, 52(1), 72–84. https://doi.org10.5032/jae.2011.01072 DOI: https://doi.org/10.5032/jae.2011.01072

Pate, M. L., & Miller, G. (2011b). Effects of think-a-loud pair problem solving on secondary-level students' performance in career and technical education courses. Journal of Agricultural Education, 52(1), 120−131. https://doi.org/10.5032/jae.2011.01120 DOI: https://doi.org/10.5032/jae.2011.01120

Phipps L. J., & Osborne, E. W. (1988). Handbook on agricultural education in public schools. The Interstate Printers & Publishers, Inc.

Roberts, R., & Robinson, J. S. (2018). The motivational changes preservice agricultural education teachers endure while facilitating quality supervised agricultural experiences: A six-week project-based learning experience. Journal of Agricultural Education, 59(1), 255–270. https://doi.org/10.5032/jae.2018.01255 DOI: https://doi.org/10.5032/jae.2018.01255

Roberts, R., Terry, R., Jr., Brown, N. R., & Ramsey, J. W. (2016). Students’ motivations, value, and decision to participate in service-learning at the National FFA Days of Service. Journal of Agricultural Education, 57(2), 199–214. https://doi.org/10.5032/jae.2016.02199 DOI: https://doi.org/10.5032/jae.2016.02187

Roberts, R., & Stair, K. S., Granberry, T. (2020a). Images from the trenches: A visual narrative of the concerns of preservice agricultural education teachers. Journal of Agricultural Education, 61(2), 324–338. https://doi.org/10.5032/jae.2020.02324 DOI: https://doi.org/10.5032/jae.2020.02324

Roberts, R., Witte, B. M., Stair, K. S., Blackburn, J. J., & Smith, H. E. (2020b). The dimensions of professional development needs for secondary agricultural education teachers across career stages: A multiple case study comparison. Journal of Agricultural Education, 61(3), 128–143. https://doi.org/10.5032/jae.2020.03128 DOI: https://doi.org/10.5032/jae.2020.03128

Rodríguez-Sabiote, C., Olmedo-Moreno, E. M., & Expósito-López, J. (2022). The effects of teamwork on critical thinking: A serial mediation analysis of the influence of work skills and educational motivation in secondary school students. Thinking Skills and Creativity, 45, 101–163. https://doi.org/10.1016/j.tsc.2022.101063 DOI: https://doi.org/10.1016/j.tsc.2022.101063

Salkind, N. (2010). Encyclopedia of research design. Sage. DOI: https://doi.org/10.4135/9781412961288

Sibley, J., & Ostafichuk, P. (2015). Getting started with team-based learning. Stylus Publishing, LLC.

Strayer, J. (2007). The effects of the classroom flip on the learning environment: A comparison of learning activity in a traditional classroom and a flip classroom that used an intelligent tutoring system (Doctoral dissertation). The Ohio State University, Columbus.

U.S. Department of Education. (2001). The condition of education 2001. https://nces.ed.gov/pubs2001/2001072.pdf

Ulmer, J. D., & Torres, R. M. (2007). A comparison of the cognitive behaviors exhibited by secondary agriculture and science teachers. Journal of Agricultural Education, 48(4), 106–116. https://doi.org/0.5032/jae.2007.04106 DOI: https://doi.org/10.5032/jae.2007.04106

Van Der Zanden, P.; Denessen, E., Cillessen, A., Meijer, P.C. (2018). Domains and predictors of first-year student success: A systematic review. Educational Research Review, 23, 57-77. https://doi.org/10.1016/j.edurev.2018.01.001 DOI: https://doi.org/10.1016/j.edurev.2018.01.001

Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1−64. https://journals.sagepub.com/doi/pdf/10.3102/00346543047001001 DOI: https://doi.org/10.3102/00346543047001001

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Published

2025-01-21

How to Cite

Figland-Cook, W. L., Roberts, R., & Blackburn , J. J. (2025). Investigating the Effects of Cognitive Style on the Motivation of Students Enrolled in a Team-Based Learning Formatted Agricultural Mechanics Course at Louisiana State University. Journal of Agricultural Education, 66(1), Article 9. https://doi.org/10.5032/jae.v66i1.2784

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Journal of Agricultural Education

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