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Relating Work-Integrated Learning to Employability Skills in the Post-COVID-19 Era

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Smart and Sustainable Technology for Resilient Cities and Communities

Part of the book series: Advances in Sustainability Science and Technology ((ASST))

Abstract

Due to COVID-19, there have been several disruptions to the status quo, which has triggered several changes within the workspace as well as the higher education sector. As the latter seeks to readjust its teaching and learning approach by embracing online and distance learning models, one of the most critical components of the built environment, work-integrated learning (WIL), needs to be given greater attention in the era of the ‘new normal’. This is because, as the world embraces this new wave of digitalization, future graduates are required to possess innovative skills and attributes to transit easily into the world of work (‘new economy’). This article seeks to re-evaluate the importance of WIL as higher education institutions (HEIs) around the world reshape their curriculum in a bid to adjust to the significant changes caused by COVID-19. For this study, a quantitative research approach was adopted with close-ended questionnaires developed and administered to built environment professionals based in the Gauteng province of South Africa. Data obtained were analyzed using several statistical tools such as descriptive statistics (DS), mean item score (MIS), one-sample T-test (OST), and exploratory factor analysis (EFA). Findings revealed four clusters highlighting the key WIL attributes that are critical to graduate success. These include understanding of job responsibilities, enhanced learning, exposure to multi-disciplinary teams, and developing professional identity. While it may be easy for present-day universities to overlook WIL due to the various intricacies in evaluating and monitoring students’ participation due to online learning, this article makes a case for universities to adopt a more innovative approach to ensure that WIL is successfully executed due to its employability benefits for students. The outcomes of this study will be beneficial to university educators, higher education officials, policymakers, and even students.

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References

  1. Aliu J, Aigbavboa C, Oke A (2021) Examining undergraduate courses relevant to the built environment in the 4IR era: a Delphi study approach. Emerging research in sustainable energy and buildings for a low-carbon future. Springer, Singapore, pp 195–215

    Chapter  Google Scholar 

  2. Aliu J, Aigbavboa C, Thwala W (2021) A 21st century employability skills improvement framework for the construction industry. Routledge

    Book  Google Scholar 

  3. Aliu J, Aigbavboa C (2021c) Key generic skills for employability of built environment graduates. Int J Constr Manag 1–19

    Google Scholar 

  4. Aliu J, Aigbavboa CO (2019) Employers’ perception of employability skills among built-environment graduates. J Eng Des Technol

    Google Scholar 

  5. Aliu J, Aigbavboa CO (2020) Structural determinants of graduate employability: impact of university and industry collaborations. J Eng Des Technol

    Google Scholar 

  6. Bowen T, Pennaforte A (2017) The impact of digital communication technologies and new remote-working cultures on the socialization and work-readiness of individuals in WIL programs. In: Work-integrated learning in the 21st century. Emerald Publishing Limited

    Google Scholar 

  7. Callanan G, Benzing C (2004) Assessing the role of internships in the career-oriented employment of graduating college students. Educ Training 46(2):82–89. https://doi.org/10.1108/00400910410525261

    Article  Google Scholar 

  8. Chernikova O, Heitzmann N, Stadler M, Holzberger D, Seidel T, Fischer F (2020) Simulation-based learning in higher education: a meta-analysis. Rev Educ Res 90(4):499–541. https://doi.org/10.3102/0034654320933544

    Article  Google Scholar 

  9. Cho E (2020) Examining boundaries to understand the impact of COVID-19 on vocational behaviors

    Google Scholar 

  10. Cooper L, Orrell J, Bowden M (2010) Work integrated learning: a guide to effective practice. Routledge, New York

    Book  Google Scholar 

  11. Costello AB, Osborne JW (2005) Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Assess Res Eval 10(7):1–9

    Google Scholar 

  12. Crawford J, Butler-Henderson K, Rudolph J, Malkawi B, Glowatz M, Burton R, Magni P, Lam S (2020) COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. J Appl Learn Teach 3(1):1–20

    Google Scholar 

  13. Dean BA, Campbell M (2020) Reshaping work-integrated learning in a post-COVID-19 world of work. Int J Work Integr Learn 21(4):355–364

    Google Scholar 

  14. Divine RL, Linrud JK, Miller RH, Wilson JH (2007) Required internship programs in marketing: benefits, challenges and determinants of fit. Mark Educ Rev 17(2):45–52. https://doi.org/10.1080/10528008.2007.11489003

    Article  Google Scholar 

  15. Elliott AC, Woodward WA (2007) Comparing one or two means using the t-test. Statistical analysis and quick reference guide book. SAGE Publications Inc., Thousand Oaks, pp 47–76

    Google Scholar 

  16. Fabrigar LR, Wegener DT (2011) Exploratory factor analysis. Oxford University Press, University of Oxford, United Kingdom

    Book  Google Scholar 

  17. Gault J, Redington J, Schlager T (2000) Undergraduate business internships and career success: are they related? J Mark Educ 22(1):45–53

    Article  Google Scholar 

  18. George D, Mallery P (2003) SPSS for windows step by step: a simple guide and reference, 11.0 update, 4th edn. Allyn & Bacon, Boston

    Google Scholar 

  19. Ghasemi A, Zahediasl S (2012) Normality tests for statistical analysis: a guide for non-statisticians. Int J Endocrinol Metab 10(2):486–489

    Article  Google Scholar 

  20. Gill A, Lashine S (2003) Business education: a strategic market-oriented focus. Int J Educ Manag 175:188–194. https://doi.org/10.1108/09513540310484904

    Article  Google Scholar 

  21. Grace S, O’Neil R (2014) Better prepared, better placement: an online resource for health students. Asia Pac J Coop Educ 15(4):291–304

    Google Scholar 

  22. Hair JF, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis. Pearson Education Inc., Pearson, NJ

    Google Scholar 

  23. Hassani H, Ghodsi M, Howell G (2010) A note on standard deviation and standard error. Teach Math Appl 29(2):108–112

    Google Scholar 

  24. IJWIL (n.d.) Int J Work Integrated Learn—Defining WIL. https://www.ijwil.org/defining-wil

  25. Lam T, Ching L (2007) An exploratory study of an internship program: the case of Hong Kong students. Int J Hospitality Manag 26(2):336–351. https://doi.org/10.1016/j.ijhm.2006.01.001

    Article  Google Scholar 

  26. Larkin I, Beatson A (2014) Blended delivery and online assessment: scaffolding student reflections in work-integrated learning. Mark Educ Rev 24(1):9–14

    Google Scholar 

  27. Lowden K, Hall S, Ellio DD, Lewin J (2011) Employers’ perceptions of the employability skills of new graduates. Edge Foundation, London

    Google Scholar 

  28. McLennan B, Keating S (2008, June) Work-integrated learning (WIL) in Australian universities: the challenges of mainstreaming WIL. In: Proceedings of the ALTC NAGCAS national symposium, pp 2–14

    Google Scholar 

  29. Mihail DM (2006) Internships at Greek universities: an exploratory study. J Workplace Learn 18(1):28–41. https://doi.org/10.1108/13665620610641292

    Article  Google Scholar 

  30. Ogunsanya OA, Aigbavboa CO, Thwala DW, Edwards DJ (2019) Barriers to sustainable procurement in the Nigerian construction industry: an exploratory factor analysis. Int J Constr Manag 1–12

    Google Scholar 

  31. Oke AE, Aghimien DO (2018) Drivers of value management in the Nigerian construction industry. JEDT 16(2):270–284

    Article  Google Scholar 

  32. Omar MZ, Rahman MNA, Kofli NT, Mat K, Darus MZ, Osman SA (2008) Assessment of engineering students’ perception after industrial training placement. In: Proceedings of 4th WSEAS/IASME international conference on educational technologies (EDUTE’08)

    Google Scholar 

  33. Othman AR, Yin TS, Sulaiman S, Ibrahim MIM, Rashid MR (2011) Application of mean and standard deviation in questionnaire surveys. Discov Math 33(1):11–22

    Google Scholar 

  34. Pillai S, Khan MH, Ibrahim IS, Raphael S (2012) Enhancing employability through industrial training in the Malaysian context. High Educ 63(2):187–204. https://doi.org/10.1007/s10734-011-9430-2

    Article  Google Scholar 

  35. Pretti TJ, Parrott PAW, Hoskyn K, Fannon AM, Church D, Arsenault C (2020) The role of work-integrated learning in the development of entrepreneurs. Int J Work Integr Learn 21(4):451–466

    Google Scholar 

  36. Sattler P, Wiggers RD, Arnold C (2011) Combining workplace training with postsecondary education: the spectrum of work-integrated earning (WIL) opportunities from apprenticeship to experiential learning. Can Apprenticeship J 5. Retrieved from: http://www.adapt.it/fareapprendistato/docs/combining_workplace_training.pdf

  37. Ticehurst GW, Veal AJ (2000) Business research methods. Longman, Frenchs Forest, Australia

    Google Scholar 

  38. Trede F, Flowers R (2020) Preparing students for workplace learning: short films, narrative pedagogy, and community arts to teach agency. Int J Work Integr Learn

    Google Scholar 

  39. Wasonga TA, Murphy JF (2006) Learning from tacit knowledge: the impact of the internship. Int J Educ Manag 20(2):153–163

    Article  Google Scholar 

  40. Wood YI, Zegwaard KE, Fox-Turnbull WH (2020) Conventional, remote, virtual, and simulated work-integrated learning: a meta-analysis of existing practice

    Google Scholar 

  41. Yamane T (1967) Statistics, an introductory analysis, 2nd edn. Harper and Row, New York

    MATH  Google Scholar 

  42. Zegwaard KE (2015) Building an excellent foundation for research: challenges and current research needs. Asia Pac J Coop Educ 16(2):89–99

    Google Scholar 

  43. Zegwaard KE, Pretti TJ, Rowe AD (2020) Responding to an international crisis: the adaptability of the practice of work-integrated learning

    Google Scholar 

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Aliu, J., Aigbavboa, C. (2022). Relating Work-Integrated Learning to Employability Skills in the Post-COVID-19 Era. In: Howlett, R.J., Jain, L.C., Littlewood, J.R., Balas, M.M. (eds) Smart and Sustainable Technology for Resilient Cities and Communities. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-9101-0_3

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