Examining the Quality of Learning Environment of Sandwich Programmes in Ghana: A Case of Institute of Education

Authors

DOI:

https://doi.org/10.51867/ajernet.5.2.29

Keywords:

Institute of Education, Quality Learning Environment, Sandwich

Abstract

This paper reports on a study that examined the quality of the learning environment of sandwich programmes in Ghana. The study used a sequential explanatory mixed method design and focused on tutors and 400 students of the programme. The Total Quality Management Theory, Expectation Confirmation/Disconfirmation Theory, Context, Input, Process, and Product Evaluation Model underpined the study. A disproportional stratified selection method was used to select 1,000 students and 50 tutors from each of the four teaching centres. While a purposive sampling method was employed to select 12 students and eight tutors involved in sandwich programmes for follow-up interviews. The data were collected using a questionnaire and an interview guide. The quantitative data was analysed using means and standard deviation, while the qualitative data were subjected to thematic analysis. These findings revealed that the tutors show concern for the welfare of the students and offer chances for student-teacher contact. However, big class sizes limit how much faculty can customise the learning environment. Also, students were friendly, helpful, cooperative, and supported one another during activities. The study recommended that the management of the Institute of Education and centre coordinators make every effort to secure spacious classrooms to help reduce large class sizes and increase opportunities for student-teacher interactions, cohesiveness, and students' participation in the classroom. In addition, tutors should foster an atmosphere that invites student interaction and identify students' strengths and weaknesses.

References

Abiola, A. (2020). Delivering higher education to meet local needs in a developing context: The quality dilemmas? Quality Assurance in Education, 18(3), 191-208. https://doi.org/10.1108/09684881011058641 DOI: https://doi.org/10.1108/09684881011058641

Amoako, E. (2019). Administrative support for graduate education success in resource poor and culturally challenging environments. In D. Z Atibuni (Ed), Postgraduate research engagement in low resource settings (pp. 173-186). USA: IGI Global. https://doi.org/10.4018/978-1-7998-0264-8.ch010 DOI: https://doi.org/10.4018/978-1-7998-0264-8.ch010

Austin, A. E. (2002). Preparing the next generation of faculty: Graduate school as socialization to the academic career. The journal of higher education, 73(1), 94-122.

https://doi.org/10.1353/jhe.2002.0001 DOI: https://doi.org/10.1353/jhe.2002.0001

https://doi.org/10.1080/00221546.2002.11777132 DOI: https://doi.org/10.1080/00221546.2002.11777132

Badu, K. (2014). What the best college students do. Cambridge, MA: Belknap Press of Harvard University Press.

Bakhshialiabad, H. Bakhshi M. & Hassanshahi, G. (2015). Students' perceptions of the academic learning environment in seven medical sciences courses based on DREEM. Advances in Medical Education and Practice, 6, 195-203.

https://doi.org/10.2147/AMEP.S60570 DOI: https://doi.org/10.2147/AMEP.S60570

Birjandi, P., & Nosratinia, M. (2009). The qualitative program evaluation of the postgraduate English translation major in Iran. The Journal of Modern Thought in Education, 4(2), 37-58.

Budak, I., & Kaygin, B. (2015). An investigation of mathematically promising students' cognitive abilities and their contributions to learning environment. Eurasia Journal of Mathematics, Science and Technology Education, 11(1), 25-36. https://doi.org/10.12973/eurasia.2015.1303a DOI: https://doi.org/10.12973/eurasia.2015.1303a

Chmielewski-Raimondo, D. A., McKeown, W., & Brooks, A. (2016). The field as our classroom: Applications in a business-related setting. Journal of Accounting Education, 34, 41-58.

https://doi.org/10.1016/j.jaccedu.2015.11.002 DOI: https://doi.org/10.1016/j.jaccedu.2015.11.002

Chua, S. L., Wong, A. F., & Chen, D. T. V. (2011). The nature of Chinese language classroom learning environments in Singapore secondary schools. Learning Environments Research, 14(1), 75-90. https://doi.org/10.1007/s10984-011-9084-0 DOI: https://doi.org/10.1007/s10984-011-9084-0

Chukwuemeka. O. (2013). Environmental influence on academic performance of secondary school students in Port Harcourt Local Government Area of Rivers State. Journal of Economics and Sustainable Development, 4(12), 34-38.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd Ed). Thousand Oaks, CA: Sage.

Curseu. P. L., & Pluut, H. (2013). Student groups as learning entities: The effect of group diversity and teamwork quality on groups' cognitive complexity. Studies in Higher Education, 38(1), 87-103. https://doi.org/10.1080/03075079.2011.565122 DOI: https://doi.org/10.1080/03075079.2011.565122

Danielson, C. (2013). The framework for teaching: Evaluation instrument. Alexandria, VA Association for Supervision and Curriculum Development.

Deming, W. E. (1982). Quality, productivity, and competitive position (Vol. 183). Cambridge, MA: Massachusetts Institute of Technology.

DiTullio. G. (2014). Classroom culture promotes academic resiliency. Phi Delta Kappan, 96(2), 37-40. https://doi.org/10.1177/0031721714553408 DOI: https://doi.org/10.1177/0031721714553408

Dorman J. P. (2014). Classroom psychosocial environment and course experiences in pre-service teacher education courses at an Australian university. Studies in Higher Education, 39(1), 34-47. https://doi.org/10.1080/03075079.2012.674936 DOI: https://doi.org/10.1080/03075079.2012.674936

Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students' perceived learning outcomes and satisfaction in university online education: An empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215-235.

https://doi.org/10.1111/j.1540-4609.2006.00114.x DOI: https://doi.org/10.1111/j.1540-4609.2006.00114.x

Fraser, B. J. (2012). Classroom learning environments: Retrospect, context and prospect. In B. J. Fraser, K. G. Tobin, & C. J. McRobbie (Eds.), Second International Handbook of Science Education (pp. 1191-1239). New York: Springer.

https://doi.org/10.1007/978-1-4020-9041-7_79 DOI: https://doi.org/10.1007/978-1-4020-9041-7_79

Fraser, B.J. (2014). Classroom learning environments: Historical and contemporary perspectives. In N. G. Lederman and S. K. Abell (Eds.), Handbook of research on science education, Volume II (pp. 104-119). New York: Routledge.

Gallifa, J., & Batallé, P. (2010) Student perceptions of service quality in a multi-campus higher education system in Spain. Quality Assurance in Education, 18(2), 156-170.

https://doi.org/10.1108/09684881011035367 DOI: https://doi.org/10.1108/09684881011035367

Hallinger, P., & Heck, R. H. (2011). Collaborative leadership and school improvement: Understanding the impact on school capacity and student learning. In International handbook of leadership for learning (pp. 469-485). Dordrecht: Springer Netherlands. https://doi.org/10.1007/978-94-007-1350-5_27 DOI: https://doi.org/10.1007/978-94-007-1350-5_27

Hansen, D. E. (2016). Cohesion in online student teams versus traditional teams. Journal of Marketing Education, 38(1), 37-46.

https://doi.org/10.1177/0273475315594463 DOI: https://doi.org/10.1177/0273475315594463

Hattie, J. (2009). Visible learning. Abingdon, UK: Routledge.

https://doi.org/10.4324/9780203887332 DOI: https://doi.org/10.4324/9780203887332

Hénard, F. (2010). Learning our lesson: Review of quality teaching in higher education. Paris: OECD Higher Education Programme. https://doi.org/10.1787/9789264079281-en DOI: https://doi.org/10.1787/9789264079281-en

Isba, R., & Walsh, K. (2013). Creating the learning environment. Oxford Textbook of Medical Education, 100-110.

https://doi.org/10.1093/med/9780199652679.003.0009 DOI: https://doi.org/10.1093/med/9780199652679.003.0009

Jackson, D., Sibson, R., & Riebe, L. (2014). Undergraduate perceptions of the development of team-working skills. Education and Training, 56(1), 7-20. https://doi.org/10.1108/ET-01-2013-0002 DOI: https://doi.org/10.1108/ET-01-2013-0002

Lay, Y. F., & Khoo, C. H. (2012). Relationships between actual and preferred science learning environment at tertiary level and attitudes towards science among pre-service science teachers. Pertanika Journal of Social Sciences & Humanities, 20(4), 1117-1142

Li, Z. (2014). Validation of a learning environment instrument in tertiary foreign language classrooms in China. Review in Psychology Research, 3(3), 27-36

Matoti, S. (2019). Reflections on pre-service teachers' perceptions of their classroom learning environments. In Proceedings of the 13th International Technology, Education and Development Conference 2019 (pp. 57-63). Valencia, Spain.

https://doi.org/10.21125/inted.2019.0030 DOI: https://doi.org/10.21125/inted.2019.0030

Mourshed, M., Krawitz, M., & Dom, E. (2017). How to improve student educational outcomes: New insights from data analytics. McKinsey & Company. Available at: https://www.mckinsey.com/industries/social-sector/our-insights/how-to-improve-student-educational-outcomes- new-insights-from-data-analytics

Nazeer, I. (2015). Assessment of quality factors in Indian management education. Asian Journal of Management, 6(1), 37-43. https://doi.org/10.5958/2321-5763.2015.00007.4 DOI: https://doi.org/10.5958/2321-5763.2015.00007.4

NSSE. (2017). Engagement insights: Survey findings on the quality of undergraduate education: Annual results 2017. Bloomington, IN: Indiana University Center for Postsecondary Research.

Odunaike. K. O., & Amoda, M. B. (2008). The impact of vocational education on business education students at Tai Solarin University of Education, Ijebu-Ode. Ogun State. Journal of Business Education and Entrepreneurial Development (JOBEED), 1(1), 81-95.

OECD. (2012). The protection of children online: Report on risks faced by children online and policies to protect them. Paris: OECD Publishing.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469

https://doi.org/10.2307/3150499 DOI: https://doi.org/10.2307/3150499

https://doi.org/10.1177/002224378001700405 DOI: https://doi.org/10.1177/002224378001700405

Oliver, R. L. (2010). Effect of expectation and disconfirmation on post exposure product evaluations: An alternative interpretation. Journal of Applied Psychology, 62(4), 480-486 DOI: https://doi.org/10.1037//0021-9010.62.4.480

https://doi.org/10.1037/0021-9010.62.4.480 DOI: https://doi.org/10.1037/0021-9010.62.4.480

Oliver, R. L. (2014). Satisfaction: A behavioural perspective on the consumer (7th Ed.). Routledge, New York. https://doi.org/10.4324/9781315700892 DOI: https://doi.org/10.4324/9781315700892

Owusu, O. (2014). Developing quality assurance systems in African universities: AAU initiatives. In G. B. Alabi. & J. C. Mba (Eds.), The quality assurance situation and capacity building needs of higher education in Africa (pp. 1-17). Accra Association of African Universities.

Paniagua, A., & Istance, D. (2018). Teachers as designers of learning environments. Educational Research and Innovation. OECD: Paris, France. https://doi.org/10.1787/9789264085374-en DOI: https://doi.org/10.1787/9789264085374-en

Psycharis, S., Chalatzoglidis, G., & Kalogiannakis, M. (2013). Moodle as a learning environment in promoting conceptual understanding for secondary school students. Eurasia Journal of Mathematics, Science and Technology Education, 9(1), 11-21.

https://doi.org/10.12973/eurasia.2013.912a DOI: https://doi.org/10.12973/eurasia.2013.912a

Rogers, C.R., Lyon, H.C. Jr., & Tausch, R. (2019). On becoming an effective teacher: Person-centered teaching, psychology, philosophy, and dialogues with Carl R. New York, NY: Routledge.

Rolla, A. (2016). Quality of management education in India: Concerns and challenges. International Journal of Research in Economics and Social Sciences, 6(5), 54-60

Rowe, N., Wilkin, A., & Wilson, R. (2012). Mapping of seminal reports on good teaching (NFER Research Programme: Developing the Education Workforce). Slough: NFER.

Sayed, H. Y. & El-Sayed, N. G. (2012). Student's perceptions of the educational environment of the nursing program in Faculty of Applied Medical Sciences at Umm-Al-Qura University. KSA Journal of American Science, 8(4), 69-75.

Schunk, D. H., & Pajares, F. (2002). The development of academic self-efficacy. In Development of achievement motivation (pp. 15-31). Academic Press. https://doi.org/10.1016/B978-012750053-9/50003-6 DOI: https://doi.org/10.1016/B978-012750053-9/50003-6

Sharkawy, S. A., El-Houfey, A. A., & Hassan, A. K. (2013). Students' perceptions of educational environment in the faculties of nursing at Assiut, Sohag and South Valley universities. Ass Univ Bull Environ Res, 16(2), 167-97. https://doi.org/10.21608/auber.2013.148506 DOI: https://doi.org/10.21608/auber.2013.148506

Sithole, S. (2015). Effect of instructional design on learning the accounting equation in an introductory accounting course. Journal of Accounting and Taxation, 7(8), 137-142.

https://doi.org/10.5897/JAT2015.0192 DOI: https://doi.org/10.5897/JAT2015.0192

Strayer. J. F. (2012). How learning in an inverted classroom influences cooperation, innovation and task orientation. Learning Environments Research, 15(2), 171-193.

https://doi.org/10.1007/s10984-012-9108-4 DOI: https://doi.org/10.1007/s10984-012-9108-4

Stufflebeam, D. L., & Shield, A. (2007) valuation theory, models, and applications Calitornia, USA: Jossey-Bass

Stufflebeam. D. L., & Coryn C. L. (2014). Evaluation theory, models, and applications (Vol. 50). USA: John Wiley & Sons.

Tedesco-Schneck, M. (2016). Factors that influence classroom participation of junior-and senior-level nursing students (Doctoral Thesis, Graduate School, University of Main).

Thornton, C., Miller, P., & Perry, K. (2020). The impact of group cohesion on key success measures in higher education. Journal of Further and Higher Education, 44(4), 542-553.

https://doi.org/10.1080/0309877X.2019.1594727 DOI: https://doi.org/10.1080/0309877X.2019.1594727

Tripathy. S., & Dudani, S. (2013). Students' perception of the learning environment in a new medical college by means of the DREEM inventory. International Journal of Research in Medical Sciences, 1(4), 385-391. https://doi.org/10.5455/2320-6012.ijrms20131113 DOI: https://doi.org/10.5455/2320-6012.ijrms20131113

Vargas-Hernández, J. G. (2020). Professional integrity for educational quality in management sciences. In N. Baporikar & M. Sony (Eds.), Quality Management Principles and Policies in Higher Education (pp. 209-231). https://doi.org/10.4018/978-1-7998-1017-9.ch011 DOI: https://doi.org/10.4018/978-1-7998-1017-9.ch011

Wiliam D. (2018). Embedded formative assessment (2nd Ed). Bloomington, IN: Solution Tree Press.

Wiston, P. (2019). The development, validation and application of the course experience questionnaire. Studies in Higher Education, 22, 33-53.

https://doi.org/10.1080/03075079712331381121 DOI: https://doi.org/10.1080/03075079712331381121

Yang, K. T., Wang, T. H., & Chiu, C. M. H. (2015). Study the effectiveness of technology-enhanced interactive teaching environment on student learning of junior high school biology. Eurasia Journal of Mathematics, Science and Technology Education, 11(2), 263-275. https://doi.org/10.12973/eurasia.2015.1327a DOI: https://doi.org/10.12973/eurasia.2015.1327a

Yang, X. (2013). Senior secondary students' perceptions of mathematics classroom learning environments in China and their attitudes towards mathematics. The Mathematics Educator, 15(1), 66-80.

Zibit, J. (2020). Evaluating teaching quality in higher education: Analytical modelling and computerized implementation. International Journal of Security and Its Applications, 10(2), 197-204. https://doi.org/10.14257/ijsia.2016.10.2.18 DOI: https://doi.org/10.14257/ijsia.2016.10.2.18

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Published

2024-05-04

How to Cite

Opoku, E., Boakye, D. K., Dzirasah, C., & Opoku-Danso, A. (2024). Examining the Quality of Learning Environment of Sandwich Programmes in Ghana: A Case of Institute of Education. African Journal of Empirical Research, 5(2), 331–342. https://doi.org/10.51867/ajernet.5.2.29