The Impact of Contextual Factors on Learning of Agricultural Programmes in Technical and Vocational Education Training Colleges, South Africa
Abstract
Contextual factors may influence the learning of agricultural programmes in Technical and Vocational Education Training (TVET) colleges. This study employed a quantitative approach to explore the impact of contextual factors on learning agricultural programmes in TVET colleges in the Limpopo Province of South Africa. The study surveyed 240 students from three TVET colleges. Purposive sampling was used to select the TVET colleges that offer agricultural programmes. Data was collected through a questionnaire to understand the impact of contextual factors on the students learning agricultural programmes. Data was analysed using Microsoft Excel 2016 and was presented in the form of a table. Based on Mitzel’s (1969) model, the impact of the contextual factors will help to guide TVET colleges when recruiting agriculture students. The results of the study indicated that contextual factors such as the student's prior experience, knowledge, skills, and personality traits have an impact on the learning of agricultural programmes in TVET colleges. The study recommends that upon recruiting TVET students, contextual factors such as prior knowledge and skills, prior experience as well as personality traits should be tested.
https://doi.org/10.26803/ijlter.20.5.16
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Adebo, G. M., & Sekumade, A. B. (2013). Determinants of career choice of Agricultural profession among the Students of the Faculty of Agricultural Sciences in Ekiti State University, Nigeria. Journal of agricultural extension and rural development, 5(11), 249-255.
Ahmed, K. A., Sharif, N., & Ahmad, N. (2017). Factors influencing students’ career choices: Empirical evidence from business students. Journal of Southeast Asian Research, 2017, 1-15. https://doi.org/10.5171/2017.718849
Ariani, D. W. (2013). Personality and learning motivation. European Journal of Business and Management, 5(10), 26-38.
Ary, D., Jacobs, L. C., Razavieh, A., & Sorensen, C. (2006). Introduction to research in education. Thomson Wadsworth. Belmont, CA.
Beatson, N. J., Berg, D. A., & Smith, J. K. (2020). The influence of selfâ€efficacy beliefs and prior learning on performance. Accounting & Finance, 60(2), 1271-1294. https://doi.org/10.1111/acfi.12440
Bilal, Z. O., & Hussien, M. A. (2019). The impact of entrepreneurship education and previous experience on students' career intentions in Oman? Evidence from Dhofar University. International Journal of Management Research and Reviews, 9(3), 1-9.
Botha, M. (2020). Prior entrepreneurial exposure and action of women entrepreneurs: exploring the moderation effects of entrepreneurial competencies in a developing country context. Frontiers in psychology, 11, 922. https://doi.org/10.3389/fpsyg.2020.00922
Chiu, T. K. (2016). Effects of prior knowledge on mathematics different order thinking skills in mobile multimedia environments. In Mobile learning design (pp. 373-386). Springer, Singapore. https://doi.org/10.1007/978-981-10-0027-0_22
Chiu, T. K. (2016). Prior Knowledge and Mathematics Different Order Thinking Skills in Multimedia Learning. Singapore: International Society of the Learning Sciences.
Choi, Y. S., & Lim, U. (2017). Contextual factors affecting the innovation performance of manufacturing SMEs in Korea: A structural equation modeling approach. Sustainability, 9(7), 1193. https://doi.org/10.3390/su9071193
Dang, T. K. A. (2017). Exploring contextual factors shaping teacher collaborative learning in a paired placement. Teaching and teacher education, 67, 316-329. https://doi.org/10.1016/j.tate.2017.06.008
Deng, Z., Guan, H., Huang, R., Liang, H., Zhang, L., & Zhang, J. (2017). Combining Model-Based $ Q $-Learning With Structural Knowledge Transfer for Robot Skill Learning. IEEE Transactions on Cognitive and Developmental Systems, 11(1), 26-35. https://doi.org/10.1109/tcds.2017.2718938
Ekong, J. (2018). Review of the Learning Alliance for Adaptation in Smallholder Agriculture.
Ettis, S. A., & Kefi, M. K. (2016). Entrepreneurial intentions amongst Tunisian students: An empirical investigation applying the big-five personality traits theory. International Journal of Higher Education Management, 3(1).
Faulkner, P. E., Baggett, C. D., Bowen, C. F., & Bowen, B. E. (2009). Attitudes, Educational, and Career Choices of Food and Agricultural Sciences Institute Participants. Journal of Agricultural Education, 50(1), 45-56. https://doi.org/10.5032/jae.2009.01045
Fizer, D. (2013). Factors affecting career choices of college students enrolled in agriculture. A research paper presented for the Master of Science in Agriculture and Natural Science degree at The University of Tennessee, Martin, 51-54.
Foreman, E. A., Smalley, S. W., & Retallick, M. S. (2018). Factors that Influence New Students’ Decision to Attend Two Midwestern Land-Grant Universities. NACTA Journal, 62(4), 329.
Gay, L. R., Mills, G. E., & Airasian, P. (2009). Educational research: Competencies for analysis and applications (9th ed.). Upper Saddle River, NJ: Pearson.
Hoover, B. A. (2020). Factors That Influence How Participants of Virginia's Governor's School for Agriculture Think About, Perceive and Engage with Agriculture and Agricultural Careers [Doctoral dissertation, Virginia Tech].
Hoyle, T. L. (2017). The Relationship between Involvement in the National FFA Organization and the Career Decision Self-Efficacy of College of Agricultural And Life Sciences Students [Doctoral dissertation, University of Idaho].
Imran, A. I., & Pamungkas, I. N. A. (2016, January). Conceptualizing the Impact of Contextual Communication Factors on Organizational Learning in Higher Learning Institutions. In International Conference on Transformation in Communication (ICOTIC).
Ingram, M. L., Sorensen, T. J., Warnick, B. K., & Lawver, R. G. (2018). The Influence of School-Based Agricultural Education on Preservice Agriculture Teachers' Choice to Teach. Journal of Agricultural Education, 59(2), 64-78. https://doi.org/10.5032/jae.2018.02064
International Center for Tropical Agriculture. (2015). Learning Alliance for Adaptation in Smallholder Agriculture. Annual Work-Plan and Budget. Cali: CIAT.
International Fund for Agricultural Development. (2016). ASAP Knowledge management and South-South exchanges in ASAP. IFAD PowerPoint presentation. Kigali: IFAD.
James, O. J., & Denis, O. (2015). Factors influencing career choice among undergraduate Students in an African university context: The Case of Agriculture Students at Makerere University. Uganda. Journal of Dynamics in Agricultural Research, 2(2), 12-20.
Kamal, A., & Radhakrishnan, S. (2019). Individual learning preferences based on personality traits in an E-learning scenario. Education and Information Technologies, 24(1), 407-435. https://doi.org/10.1007/s10639-018-9777-4
Kenderdine, S. E., Spooner, H. S., Jousan, F. D., Herrin, A. L., & Hoffman, R. M. (2019). College and career plans of horse-oriented youth. Journal of Equine Veterinary Science, 76, 115-116. https://doi.org/10.1016/j.jevs.2019.03.176
Lawrence, M. N. (2016). Factors contributing toward attrition of engineering students at public vocational colleges in the Western Cape [Doctoral dissertation, Cape Peninsula University of Technology].
Liaw, S. Y., Wu, L. T., Chow, Y. L., Lim, S., & Tan, K. K. (2017). Career choice and perceptions of nursing among healthcare students in higher educational institutions. Nurse education today, 52, 66-72. https://doi.org/10.1016/j.nedt.2017.02.008
Lin, J. J., & Liou, P. Y. (2019). Assessing the learning achievement of students from different college entrance channels: a linear growth curve modelling approach. Assessment & Evaluation in Higher Education, 44(5), 732-747. https:// dx.doi.org/10.1080/02602938.2018.1532490
Malema, R. N., & Muthelo, L. (2018). Literature review: Strategies for recruitment and retention of skilled healthcare workers in remote rural areas. EQUINET (Harare) and University of Limpopo (South Africa) Report, (115).
Marx, A. A., Simonsen, J. C., & Kitchel, T. (2014). Secondary agricultural education program and human influences on career decision self-efficacy. Journal of Agricultural Education, 55(2), 214-229. https://doi.org/10.5032/jae.2014.02214
Marx, A. A., Smith, A. R., Smalley, S. W., & Miller, C. (2017). Previous experience not required: Contextualizing the choice to teach school-based agricultural education. Journal of Agricultural Education, 58(4), 126. https://doi.org/10.5032/jae.2017.04126
McCarthy, K. S., & McNamara, D. S. (2021). The multidimensional knowledge in text comprehension framework. Educational Psychologist, 1-19. https://doi.org/10.1080/00461520.2021.1872379
Meddour, H., Abdo, A. A., Majid, A. H., Auf, M. A., & Aman, A. M. (2016). Factors Affecting Career Choice among Undergraduate Students in Universitas Indonesia. International Journal of Economic Perspectives, 10(4).
Mitzel, H. E. (1969). Teacher Effectiveness. In C. W. Harris (Ed) Encyclopaedia of Educational Research (3rd edition, pp. 1481-1486) New York; Macmillan.
Mogensen, F., & Schnack, K. (2010). The action competence approach and the ‘new’discourses of education for sustainable development, competence and quality criteria. Environmental education research, 16(1), 59-74. https://doi.org/10.1080/13504620903504032
Morss, E. R. (2019). Implementing rural development projects: Lessons from AID and World Bank Experiences. Routledge. https://doi.org/10.4324/9780429050091-3
Mothokoa, N. B., & Maritz, J. (2018). Recognition of prior learning candidates’ experiences in a nurse training programme. Health SA Gesondheid, 23(1). https://doi.org/10.4102/hsag.v23i0.1080
Mtemeri, J. (2017). Factors influencing the choice of career pathways among high school students in Midlands Province, Zimbabwe [Doctoral dissertation, University of South Africa, Pretoria, South Africa].
Palmer, T. A., Burke, P. F., & Aubusson, P. (2017). Why school students choose and reject science: A study of the factors that students consider when selecting subjects. International Journal of Science Education, 39(6), 645-662. https://doi.org/10.1080/09500693.2017.1299949
Pasha, A., & Siddiqui, D. A. (2019). Factors Influencing Professional Selection Choices: Evidence from Pakistan. http://dx.doi.org/10.2139/ssrn.3641642
Perry, B. L. (2018). Factors Associated with Intent to Practice Conventional or Organic Farming among Students Majoring in Agriculture [Doctoral dissertation, D'Youville College].
Picazo-Vela, S., Chou, S. Y., Melcher, A. J., & Pearson, J. M. (2010). Why provide an online review? An extended theory of planned behavior and the role of Big-Five personality traits. Computers in Human Behavior, 26(4), 685-696. https://doi.org/10.1016/j.chb.2010.01.005
Ramson, P., Govender, P., & Naidoo, K. (2016). Recruitment and retention strategies for public sector optometrists in KwaZulu-Natal Province, South Africa. African Vision and Eye Health, 75(1), 1-10. https://doi.org/10.4102/aveh.v75i1.349
Romberger, D. J. (2018). The influence of secondary agricultural education student supervised agricultural experience participation on career decision self-efficacy.
Salzwedel, A., Heidler, M. D., Meng, K., Schikora, M., Wegscheider, K., Reibis, R., & Völler, H. (2019). Impact of cognitive performance on disease-related knowledge six months after multi-component rehabilitation in patients after an acute cardiac event. European journal of preventive cardiology, 26(1), 46-55. https://doi.org/10.1177/2047487318791609
Sephokgole, R. D., & Ramaligela, S. M. (2021). Challenges experienced by lecturers about instructional practices on agricultural programmes in TVET colleges. In New Models for Technical and Vocational Education and Training (pp. 49-73). IGI Global. https://doi.org/10.4018/978-1-7998-2607-1.ch004
Singh, J. P., Fazel, S., Gueorguieva, R., & Buchanan, A. (2014). Rates of violence in patients classified as high risk by structured risk assessment instruments. The British Journal of Psychiatry, 204(3), 180-187. https://doi.org/10.1192/bjp.bp.113.131938
Sosa, E. (2015). Judgment and agency. Oxford University Press, USA. https://doi.org/10.1093/acprof:oso/9780198719694.003.0003
Stair, K., Danjean, S., Blackburn, J. J., & Bunch, J. C. (2016). A major decision: Identifying factors that influence agriculture students’ choice of academic major. Journal of Human Sciences and Extension, 4(2).
Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., & Sergent, K. (2018). Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: A meta-analytic path-analysis. Personality and individual differences, 120, 238-245. https://doi.org/10.1016/j.paid.2017.08.014
Taçgın, Z. (2020). The perceived effectiveness regarding Immersive Virtual Reality learning environments changes by the prior knowledge of learners. Education and Information Technologies, 25(4), 2791-2809. https://doi.org/10.1007/s10639-019-10088-0
Tanga, M., & Maphosa, C. (2018). Exploring the recruitment and training of peer facilitators in a South African University. International Journal of Educational Development, 61, 196-203. https://doi.org/10.1016/j.ijedudev.2017.08.005
Thieman, E. B., Rosch, D. M., & Suarez, C. E. (2016). Consideration of Agricultural Education as a Career: A Statewide Examination by High School Class Year of Predicting Factors. Journal of Agricultural Education, 57(4), 29-43. https://doi.org/10.5032/jae.2016.04029
Thwala, W. M. (2017). Agriculture Vocational Education Programme and the Promotion of Job Creation Skills in the Free State Technical Vocational Education and Training College [Doctoral dissertation, University of Fort Hare].
Wati, M., Pasani, C. F., & Dewantara, D. (2018, February). Physics Problem Solving Skill Based on Students Prior Knowledge. In First Indonesian Communication Forum of Teacher Training and Education Faculty Leaders International Conference on Education 2017 (ICE 2017). Atlantis Press. https://doi.org/10.2991/ice-17.2018.81
Woeber, K., & Sibley, L. (2018). The Effect of Prior Work Experiences on the Preparation and Employment of Earlyâ€Career Midwives. Journal of midwifery & women's health, 63(6), 668-677. https://doi.org/10.1111/jmwh.12910
Xhomara, N. (2020). How prior knowledge, learning, teaching and assessment affect students’ achievements in Mathematics. Research in Education and Learning Innovation Archives, (25), 68-91.
Yarden, H., & Yarden, A. (2010). Learning using dynamic and static visualizations: students’ comprehension, prior knowledge and conceptual status of a biotechnological method. Research in Science Education, 40(3), 375-402. https://doi.org/10.1007/s11165-009-9126-0
Zhang, J., & Ziegler, M. (2018). Why do personality traits predict scholastic performance? A three-wave longitudinal study. Journal of Research in Personality, 74, 182-193. https://doi.org/10.1016/j.jrp.2018.04.006
Zulu, W. V. (2018). Student’s attrition in TVET colleges: a case study of Elangeni TVET College in South Africa [Doctoral dissertation].
Zwane, M., & Setlalentoa, W. N. (2020). Investigating factors hindering the implementation of e-learning at motheo technical and vocational education and training (TVET) college: a case study of the national vocational certificate (NCV) programme. Education and New Developments, 363. https://doi.org/10.36315/2020end077
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