Social Cognitive Theory and the Engineering Gap: A Communication Perspective on Industry-Student Alignment

Authors

Nicholas Low Chun Pin

School of Business, INTI International College Penang (Malaysia)

Tan Kwang Shean

School of Communication, Universiti Sains Malaysia (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100400165

Subject Category: Communication

Volume/Issue: 10/4 | Page No: 2167-2181

Publication Timeline

Submitted: 2026-04-09

Accepted: 2026-04-14

Published: 2026-04-30

Abstract

As artificial intelligence (AI) continues to redefine global industry demands, engineering education faces a critical need for structural realignment to ensure graduate readiness. This study identifies the primary determinants of engineering student competence at INTI International College Penang (IICP), framing the investigation within the multifaceted lens of Social Cognitive Theory (SCT). By examining the triadic reciprocity between cognitive, behavioural, and environmental factors, the research evaluates the impact of curriculum gaps, AI awareness, and the efficacy of industry-academia collaboration on professional development. Employing a quantitative methodology, a survey was administered to 50 diploma and degree engineering students, utilizing a five-point Likert scale to measure perceptions of these specific determinants. Descriptive analysis revealed a compelling shift in student perspectives: while respondents perceived outdated curricula and a lack of AI awareness as less influential than initially anticipated, the adoption of AI tools, practical on-the-job training, industry collaboration, and organizational cultural dynamics emerged as the most significant drivers of competence. These findings advocate for strategic educational reforms that prioritize the integration of AI-driven technologies and the expansion of experiential learning opportunities to bridge the industry-student divide. Furthermore, the study highlights the importance of communicative proficiency alongside technical mastery in modern media ecologies. This research provides policymakers and higher education providers with actionable insights to enhance curricular relevance, ensuring the development of a workforce that is both technically adept and communicatively prepared to navigate the complexities of an increasingly AI-driven industrial landscape. Through this alignment, institutions can better foster innovation and long-term employability for future engineers.

Keywords

Social Cognitive Theory, Curriculum Gap, Engineering Students

Downloads

References

1. Abina, A., Salaj, A. T., Cestnik, B., Karalic, A., Ogrinc, M., Lukman, R. K., & Zidansek, A. (2024). Challenging 21st-Century Competencies for STEM Students: Companies’ Vision in Slovenia and Norway in the Light of Global Initiatives for Competencies Development. Sustainability, 16(3), 1295. https://doi.org/10.3390/su16031295 [Google Scholar] [Crossref]

2. Al-Asfour, A., & Zhao, Y. (2024). Bridging the Skills Gap Divide in Manufacturing: Perspectives from Industry Leaders. Industrial and Commercial Training, 56(1), 78–90. https://doi.org/10.1108/ICT-10-2023-0075 [Google Scholar] [Crossref]

3. Amalu, E. H., Short, M., Chong, P. L., Hughes, D. J., Adebayo, D. S., & Tchuenbou-Magaia, F. (2023). Critical Skills Needs and Challenges for STEM/STEAM Graduates Increased Employability and Entrepreneurship in the Solar Energy Sector. Renewable and Sustainable Energy Reviews, 187, 113776. https://doi.org/10.1016/j.rser.2023.113776 [Google Scholar] [Crossref]

4. Atkinson, P., Delamont, S., Cernat, A., Sakshaug, J. W., & Williams, R. A. (2021). SAGE Research Methods Foundations. Sage Publications Ltd. [Google Scholar] [Crossref]

5. Auer, M. E., Sethakul, P., & Hortsch, H. (2020). The Impact of the 4th Industrial Revolution on Engineering Education. Proceedings of the 22nd International Conference on Interactive Collaborative Learning, 1. [Google Scholar] [Crossref]

6. Ayeni, O. O., Unachukwu, C. C., Hamad, N. M., Osawaru, B., & Adewusi, O. E. (2024). A Multidisciplinary Approach to STEM Education: Combining HR, Counselling, and Mentorship. Magna Scientia Advanced Research and Reviews, 10(1), 351–360. https://doi.org/10.30574/msarr.2024.10.1.0026 [Google Scholar] [Crossref]

7. Ayonmike, C. S., & Okeke, B. C. (2016). Bridging the Skills Gap and Tackling Unemployment of Vocational Graduates Through Partnerships in Nigeria. Journal of Technical Education and Training, 8(2). [Google Scholar] [Crossref]

8. Bahri, M., Susilo, B. E., & Sutarto, H. (2023). Students’ Critical Thinking Abilities Based on Cognitive Style in STEM-Integrated Problem-Based Learning. Journal of Hunan Natural Sciences, 51(1), 73–81. https://doi.org/10.55463/issn.1674-2974.51.1.8 [Google Scholar] [Crossref]

9. Bandura, A. (2000). Health promotion from the perspective of social cognitive theory. In C. Abraham, P. Norman, & M. Conner (Eds.), Understanding and changing health behaviour: From health beliefs to self-regulation (1st ed., pp. 299–339). Psychology Press. [Google Scholar] [Crossref]

10. Bandura, A. (2001). Social Cognitive Theory: An Agentic Perspective. Annual Review of Psychology, 52, 1–26. https://doi.org/10.1146/annurev.psych.52.1.1 [Google Scholar] [Crossref]

11. Burr, C., & Leslie, D. (2022). Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies. AI and Ethic, 3, 73–98. https://doi.org/10.1007/s43681-022-00178-0 [Google Scholar] [Crossref]

12. Carella, G., & Colombo, F. (2024). Teaching Design and Actively Applying it Through Project-based Learning Format: A Practical Case Study of a Collaboration between a University Course and a Company. 18th International Technology, Education and Development Conference Proceedings, 2391–2398. https://doi.org/10.21125/inted.2024 [Google Scholar] [Crossref]

13. Castle, S. D., Byrd, W. C., Koester, B. P., Pearson, M. I., Bonem, E., & Caporale, N. (2024). Systemic Advantage has a Meaningful Relationship with Grade Outcomes in Students' Early STEM Courses at Six Research Universities. International Journal of STEM Education, 11(14). https://doi.org/10.1186/s40594-024-00474-7 [Google Scholar] [Crossref]

14. Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of Artificial Intelligence in Higher Education: A Quantitative Analysis using Structural Equation Modelling. Education and Information Technologies, 25, 3443–3463. https://doi.org/10.1007/s10639-020-10159-7 [Google Scholar] [Crossref]

15. Chen, L., Saharuddin, N., & Muhamad, M. M. (2024). An Exploration of Private College Students' Perceptions of the Concept of Ethical Behaviour in Academic Work in China. International Journal of Chinese Education, 13(1). https://doi.org/10.1177/2212585X241234333 [Google Scholar] [Crossref]

16. Cooksey, R. W. (2020). Descriptive Statistics for Summarising Data. Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, 61–139. https://doi.org/10.1007/978-981-15-2537-7_5 [Google Scholar] [Crossref]

17. De Silva, D., Jayatilleke, S., El-Ayoubi, M., Issadeeen, Z., Moraliyage, H., & Mills, N. (2024). The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions. Machine Learning Knowledge, 6(2), 1114–1125. https://doi.org/10.3390/make6020051 [Google Scholar] [Crossref]

18. Dehalwar, K., & Sharma, S. N. (2024). Exploring the Distinctions between Quantitative and Qualitative Research Methods. Think India Journal, 27(1). https://doi.org/10.5281/zenodo.10553000 [Google Scholar] [Crossref]

19. Dolce, V., Davoine, É., Wodociag, S., & Ghislieri, C. (2023). The road to an international career: The “Erasmus effect” on resilience, intercultural interactions and cultural intelligence. International Journal of Intercultural Relations, 92, 101741. https://doi.org/10.1016/j.ijintrel.2022.101741 [Google Scholar] [Crossref]

20. Dwivedi, Y. K., Jeyaraj, A., Hughes, L., Davies, G. H., Ahuja, M., Albashrawi, M. A., Al-Busaidi, A. S., Al-Sharhan, S., Al-Sulaiti, K. I., Altinay, L., Amalaya, S., Archak, S., Ballestar, M. T., Bhagwat, S. A., Bharadwaj, A., Bhusan, A., Bose, I., Budhwar, P., Bunker, D., . . . Walton, P. (2024). “Real impact”: Challenges and opportunities in bridging the gap between research and practice – Making a difference in industry, policy, and society. International Journal of Information Management, 78, 102750. https://doi.org/10.1016/j.ijinfomgt.2023.102750 [Google Scholar] [Crossref]

21. Dwivedi, Y. K., Rana, N., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 1–16. https://doi.org/10.1007/s10796-017-9774-y [Google Scholar] [Crossref]

22. Egele, V. S., Klopp, E., & Stark, R. (2025). How valid is Bandura’s social cognitive theory to explain physical activity behavior?. European Journal of Investigation in Health, Psychology and Education, 15(2), 20. [Google Scholar] [Crossref]

23. Elkosantini, S., Hajri-Gabouj, S., Darmoul, S., Kacem, R. B., Ammar, A., & Elouadi, A. (2023). Industrial Needs v. Engineering Education Curricula Related to Maintenance, Production and Quality in Industry 4.0: A Gap Analysis Case Study in Tunisia and Morocco. Industry and Higher Education, 37(5), 634–652. https://doi.org/10.1177/09504222231153782 [Google Scholar] [Crossref]

24. Ferreira, C., Gabriel, B., Valente, R., Andrade-Campos, A., Dias-de-Oliveira, J., & Neto, V. (2024). In Search of a More Balanced Engineering Curriculum: The Perspective of Students, Teachers, Alumni and Employers. Trends in Higher Education, 3(1), 142–154. https://doi.org/10.3390/higheredu3010008 [Google Scholar] [Crossref]

25. Fortuin, K. P. J., Gulikers, J. T. M., Post Uiterweer, N. C., Oonk, C., & Tho, C. W. S. (2023). Developing a boundary crossing learning trajectory: supporting engineering students to collaborate and co-create across disciplinary, cultural and professional practices. European Journal of Engineering Education, 49(2), 212–235. https://doi.org/10.1080/03043797.2023.2219234 [Google Scholar] [Crossref]

26. Grote, D., Patrick, A., Lyles, C., Knight, D., Borrego, M., & Alsharif, A. (2021). STEM Doctoral Students' Skill Development: Does Funding Mechanism Matter? International Journal of STEM Education, 8(50). https://doi.org/10.1186/s40594-021-00308-w [Google Scholar] [Crossref]

27. Hamad, N. M., Adewusi, O. E., Unachukwu, C. C., Osawaru, B., & Chisom, O. N. (2024). Integrating Human Resources Principles in STEM Education: A Review. World Journal of Advanced Research and Reviews, 21(1), 1174–1183. https://doi.org/10.30574/wjarr.2024.21.1.0116 [Google Scholar] [Crossref]

28. Han, J., Kelley, T., & Knowles, J. G. (2021). Factors Influencing Student STEM Learning: Self-Efficacy and Outcome Expectancy, 21st Century Skills, and Career Awareness. Journal for STEM Education Research, 4, 117–137. https://doi.org/10.1007/s41979-021-00053-3 [Google Scholar] [Crossref]

29. Harlow, D. B., Hansen, A. K., Nation, J. M., Skinner, R., Pulgar, J. A., Spina, A., & Mclean, M. (2020). Creating STEM Learning Opportunities Through Partnerships. Handbook of Research on STEM Education, 152–157. [Google Scholar] [Crossref]

30. Hol, A., Richardson, J., McGovern, J., & Hamilton, M. (2023). A New Sustainable Model for Aligning Industry Requirements and University Programs. Association for Computing Machinery Inroads, 14(1), 30–39. https://doi.org/10.1145/3583086 [Google Scholar] [Crossref]

31. Hui, Z., Khan, N. A., & Akhtar, M. (2025). AI-based virtual assistant and transformational leadership in social cognitive theory perspective: a study of team innovation in construction industry. International Journal of Managing Projects in Business, 18(4-5), 688-707. [Google Scholar] [Crossref]

32. Idris, R. B., Bacotang, J., Govindasamy, P., & Nachiappan, S. (2023). Revolutionizing STEM Education: Unleashing the Potential of STEM Interest Careers in Malaysia. International Journal of Academic Research in Business and Social Sciences, 13(7), 1741–1752. https://doi.org/10.6007/IJARBSS/v13-i7/17608 [Google Scholar] [Crossref]

33. Jafarov, S. (2023). The Role of Stem Education in Preparing Students for the Workforce. Migration Letters, 20(6), 429-439. https://doi.org/10.59670/ml.v20i6.3495 [Google Scholar] [Crossref]

34. Jebb, A. T., Ng, V., & Tay, L. (2021). A Review of Key Likert Scale Development Advances: 1995–2019. Frontiers in Psychology, 201(637547). https://doi.org/10.3389/fpsyg.2021.637547 [Google Scholar] [Crossref]

35. Johan, K. (2015). Perception of Students Towards Lecturers Teaching Engineering Courses with Industry Experience: A Case Study in Malaysia Technical University. Procedia - Social and Behavioral Sciences, 195, 925–931. https://doi.org/10.1016/j.sbspro.2015.06.372 [Google Scholar] [Crossref]

36. Joo, Y. M. (2021). Developmentalist smart cities? the cases of Singapore and Seoul. International Journal of Urban Sciences, 27(1), 164–182. https://doi.org/10.1080/12265934.2021.1925143 [Google Scholar] [Crossref]

37. Karlsson, A., Guillén, L. A., & Brukas, V. (2024). Regional forest green infrastructure planning and collaborative governance: A case study from southern Sweden. Environmental Science & Policy, 160, 103840. https://doi.org/10.1016/j.envsci.2024.103840 [Google Scholar] [Crossref]

38. Keng, S. H. (2024). The Effect of Soft Skills on Academic Outcomes. The B.E. Journal of Economic Analysis & Policy, 24(1), 35–67. https://doi.org/10.1515/bejeap-2022-0342 [Google Scholar] [Crossref]

39. Kim, H. W. (2024). Social Cognitive Theory and Medical Education: How Social Interactions Give Rise to Learning. Korean Medical Education Review, 26(1), 13–21. https://doi.org/10.17496/kmer.24.001 [Google Scholar] [Crossref]

40. Ko, P., & Law, N. (2023). Infrastructuring Multilevel Connected Learning and the Agility for STEM Curriculum Innovation. ISLS Annual Meeting 2023, 529–536. https://doi.org/10.22318/icls2023.620245 [Google Scholar] [Crossref]

41. Loumpourdi, M. (2023). The Future of Employee Development in the Emerging Fourth Industrial Revolution: A Preferred Liberal Future. Journal of Vocational Education & Training, 76(1), 25–44. https://doi.org/10.1080/13636820.2021.1998793 [Google Scholar] [Crossref]

42. Lumo, A. G., Medugu, J. D., & Moses, D. (2024). Development and Validation of Employability-based Skills Content Framework for Electrical Engineering Trades in Government Technical Colleges in North-East Nigeria. International Journal of Education and Social Science Research, 7(1), 138–152. [Google Scholar] [Crossref]

43. Madonsela, N. S. (2022). Aligning Education and Workforce Training with Industry Needs: A Perspective on Human Capital Development. Proceedings of the First Australian International Conference on Industrial Engineering and Operations, 1514–1519. [Google Scholar] [Crossref]

44. Major, L., Twiner, A., & Wegerif, R. (2022). Simulated Internships in Schools: Engaging Learners with the World of Work to Promote Collaborative Creativity. Industry Practices, Processes and Techniques Adopted in Education. Springer. https://doi.org/10.1007/978-981-19-3517-6_9 [Google Scholar] [Crossref]

45. Malhotra, R., Massoudi, M., & Jindal, R. (2023). An alumni-based collaborative model to strengthen academia and industry partnership: The current challenges and strengths. Education and Information Technologies, 28, 2263–2289. https://doi.org/10.1007/s10639-022-11276-1 [Google Scholar] [Crossref]

46. Marzuki, O. F., Teo, E. Y., & Abdullah, W. N. (2024). Innovating Education: A Comprehensive Review of STEM Education Approaches. International Journal of Academic Research in Progressive Education and Development, 13(1), 614–631. https://doi.org/10.6007/IJARPED/v13-i1/20490 [Google Scholar] [Crossref]

47. Melikuzievich, S. I. (2024). Stem Education Determines Interdisciplinary Integration. AMERICAN Journal of Language, Literacy and Learning in STEM Education, 2(1), 2993–2769. [Google Scholar] [Crossref]

48. Mensah, C., Azila-Gbettor, E. M., Nunyonameh, C. R., Appietu, M. E., & Amedome, S. N. (2023). Research Methods Anxiety, Attitude, Self-efficacy and Academic Effort: A Social Cognitive Theory Perspective. Cogent Psychology, 10. https://doi.org/10.1080/23311908.2023.2167503 [Google Scholar] [Crossref]

49. Neher-Asylbekov, S., & Wagner, I. (2023). Effects of Out-of-School STEM Learning Environments on Student Interest: A Critical Systematic Literature Review. Journal for STEM Education Research, 6, 1–44. https://doi.org/10.1007/s41979-022-00080-8 [Google Scholar] [Crossref]

50. O’Dwyer, M., Filieri, R., & O’Malley, L. (2022). Establishing successful university-industry collaborations: barriers and enablers deconstructed. The Journal of Technology Transfer, 48, 900–931. https://doi.org/10.1007/s10961-022-09932-2 [Google Scholar] [Crossref]

51. Ogodo, J. A. (2023). Developing STEM Teachers’ Cultural Competence through an Urban Teaching Curriculum: A Cultural Border Crossing Experience. Journal of Science Teacher Education, 34(3), 267–286. https://doi.org/10.1080/1046560X.2022.2046248 [Google Scholar] [Crossref]

52. Olaya-Escobar, E. S., Ballesteros, D. C., Sánchez, A. M., & Tarazona, J. V. (2024). Skills Required for 4IR Professionals in Technology-based Firms. International Journal of Intellectual Property Management, 14(2), 95–141. https://doi.org/10.1504/IJIPM.2024.137213 [Google Scholar] [Crossref]

53. Otieno, L., Maziku, P., Mashenene, R. G. (2026). Enhancing Graduate Employability through Employers’ Engagement inWork-Integrated Learning in Tanzanian Technical and Vocational Education and Training Institutions. Journal of ResearchInnovation and Implications in Education, 10(1), 541 – 560. https://doi.org/10.59765/jrsi5. [Google Scholar] [Crossref]

54. Roy, A. (2020). A Comprehensive Guide for Design, Collection, Analysis and Presentation of Likert and Other Rating Scale Data: Analysis of Likert Scale Data. Amazon. [Google Scholar] [Crossref]

55. Sellami, A. L., Al-Ali, A., Allouh, A., & Alhazbi, S. (2023). Student Attitudes and Interests in STEM in Qatar through the Lens of the Social Cognitive Theory. Sustainability, 15(9), 7504. https://doi.org/10.3390/su15097504 [Google Scholar] [Crossref]

56. Seshoka, M., Malan, K. M., & Xaba, L. D. (2023). Skills Required in Higher Education to Prepare Graduates for the Fourth Industrial Revolution Workforce. International Conference on Teaching, Assessment and Learning in the Digital Age 2023, 51–67. [Google Scholar] [Crossref]

57. Spang, D. I., Constans, E., & Tetteh, E. G. (2018). A Model for Aligning Engineering Technology Curriculum with Industry Needs. 2018 ASEE Annual Conference & Exposition. https://doi.org/10.18260/1-2--29700 [Google Scholar] [Crossref]

58. Strang, K., D., & Vajjhala, N. R. (2024). Integrating industry-crowdsourced projects in university capstone courses: A comparative study using parametric statistics and sentiment analysis. Industry and Higher Education. https://doi.org/10.1177/09504222241249894 [Google Scholar] [Crossref]

59. Sydon, T., & Phuntsho, S. (2022). Highlighting the Importance of STEM Education in Early Childhood Through Play-based Learning: A Literature Review. RABSEL: the Centre Educational Journal, 22(1), 1–19. https://doi.org/10.17102/rabsel.22.1.3 [Google Scholar] [Crossref]

60. Tran, L., Ngo, N. T., Nguyen, H. T., & Le, T. T. (2022). Higher Education, Graduate Employability and Labour Market. Employability in Context, 1–28. https://doi.org/10.1007/978-3-031-04144-0_1 [Google Scholar] [Crossref]

61. Trombeta, G., Barham, E. J., & Bertho, M. A. C. (2024). Understanding How Mindfulness-Based Interventions Promote Work-Life Balance: A Systematic Review of Randomized Controlled Trials. Trends in Psychology. https://doi.org/10.1007/s43076-024-00380-5 [Google Scholar] [Crossref]

62. Tsephe, R., & Makoele, L. (2024). Rethinking Pedagogy in the 4IR and Innovation-driven Economy: Challeges and Opportunities. 18th International Technology, Education and Development Conference Proceedings, 5042–5049. https://doi.org/10.21125/inted.2024.1301 [Google Scholar] [Crossref]

63. Van Hoe, A., Wiebe, J., Rotsaert, T., & Schellens, T. (2024). The Implementation of Peer Assessment as a Scaffold during Computer-supported Collaboration Inquiry Learning in Secondary STEM Education. International Journal of STEM Education, 11(3). https://doi.org/10.1186/s40594-024-00465-8 [Google Scholar] [Crossref]

64. Xi, Y., Shen, H., & Chen, X. (2022). Bridging the Gap between University Engineering Education and Enterprise Requirements. Mobile Networks and Applications, 27(3), 1209–1217. https://doi.org/10.1007/s11036-022-01947-1 [Google Scholar] [Crossref]

65. Zhang, P., Mai, S. -G., Sun, Y., & Zhao, Y. -N. (2024). Investigating the Gaps between Engineering Graduates and Quantity Surveyors of Construction Enterprises. Sustainability, 16(7), 2984. https://doi.org/10.3390/su16072984 [Google Scholar] [Crossref]

66. Zou, H., Ullah, A., Qazi, Z., Naeem, A. & Rehan, S. (2024). Impact of micro-credential learning on students' perceived employability: the mediating role of human capital. International Journal of Educational Management, 38(4), 897–915. https://doi.org/10.1108/IJEM-01-2023-0002 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles