Evaluating Webinar-Based Environmental Impact Assessment Learning among Civil Engineering Students: Evidence from an IDP Talk Series

Authors

Muriatul Khusmah Musa

Akademi Pengajian Bahasa, Universiti Teknologi MARA Cawangan Pulau Pinang, Pematang Pauh Campus, 13500 Pulau, Pinang, Malaysia (Malaysia)

Mohamad Zain Hashim

Civil Engineering Studies, College of Engineering, Universiti Teknologi MARA Cawangan Pulau Pinang, Pematang Pauh Campus, 13500 Pulau, Pinang, Malaysia (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.100500461

Subject Category: Education

Volume/Issue: 10/5 | Page No: 6869-6888

Publication Timeline

Submitted: 2026-05-10

Accepted: 2026-05-15

Published: 2026-06-04

Abstract

Environmental Impact Assessment (EIA) is an important component of civil engineering education because it exposes students to environmental compliance, impact prediction, mitigation planning, regulatory procedures, and EIA report preparation. This study evaluates the effectiveness of the IDP Talk Webinar Series 2026 on Environmental Impact Assessment in enhancing students’ awareness and technical understanding of EIA processes. A quantitative survey design was employed. Data were collected from 99 webinar participants using a structured questionnaire measuring three constructs: EIA awareness, technical understanding, and perceived webinar effectiveness. The data were analysed using SPSS through descriptive statistics, reliability analysis, exploratory factor analysis, Pearson correlation, and multiple regression analysis. The findings revealed high levels of EIA awareness, technical understanding, and perceived webinar effectiveness. The reliability results showed excellent internal consistency for all constructs, with Cronbach’s alpha values ranging from .938 to .956. The factor analysis supported a three-factor structure, while correlation analysis showed significant positive relationships among EIA awareness, technical understanding, and webinar effectiveness. Regression analysis further indicated that both EIA awareness and technical understanding significantly predicted perceived webinar effectiveness. The study contributes to civil engineering education by demonstrating that industry-oriented webinar activities can strengthen students’ environmental literacy, procedural understanding, and professional readiness. It also provides useful evidence for improving future IDP activities by integrating practical EIA case studies, report review tasks, and expert-led professional sharing sessions.

Keywords

Environmental Impact Assessment; Civil Engineering Education; Webinar-Based Learning; Environmental Literacy; Technical Understanding

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References

1. (EPD), E. P. D. (2022). Handbook on Environmental Impact Assessment in SABAH. [Google Scholar] [Crossref]

2. Ahmad, N., Alias, F. A., Hamat, M., Mohamed, S. A., & Komputer, J. S. (2024). Reliability Analysis : Application Of Cronbach ’ S Alpha in Research Instruments. SIG : E-Learning 2024, 114–119. [Google Scholar] [Crossref]

3. Al-Mekhlafi, A. G., Zaneldin, E., Ahmed, W., Kazim, H. Y., & Jadhav, M. D. (2025). The effectiveness of using blended learning in higher education: students’ perception. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2455228 [Google Scholar] [Crossref]

4. Alarcon-Pereira, G., Rojas-Córdova, C., Rampasso, I. S., Cruz, C., & Anholon, R. (2026). Engineering education for sustainable development: an analysis of the barriers in Chile. International Journal of Sustainability in Higher Education, 304145, 1–30. https://doi.org/10.1108/IJSHE-08-2024-0592 [Google Scholar] [Crossref]

5. Bashir, S., & Lapshun, A. L. (2025). E-learning future trends in higher education in the 2020s and beyond. Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2024.2445331 [Google Scholar] [Crossref]

6. Carmi, G. (2024). E-Learning using zoom: A study of students’ attitude and learning effectiveness in higher education. Heliyon, 10(11), e30229. https://doi.org/10.1016/j.heliyon.2024.e30229 [Google Scholar] [Crossref]

7. Department of Environment, M. (2020). Environmental Impact Assessment Guideline in Malaysia. [Google Scholar] [Crossref]

8. Gegenfurtner, A., Alijagic, A., Gabel, S., & Keskin, Ö. (2026). Synchronous online learning supports cognitive and affective outcomes more than traditional face-to-face and asynchronous online education: A meta-analysis of webinars. Learning and Individual Differences, 126(December 2025). https://doi.org/10.1016/j.lindif.2025.102862 [Google Scholar] [Crossref]

9. Gutierrez-Bucheli, L., Kidman, G., & Reid, A. (2022). Sustainability in engineering education: A review of learning outcomes. Journal of Cleaner Production, 330(August 2021), 129734. https://doi.org/10.1016/j.jclepro.2021.129734 [Google Scholar] [Crossref]

10. Gutierrez-Bucheli, L., Reid, A., Kidman, G., & Lamborn, J. (2025). Educational responses to sustainability in engineering programs: practices and prospects. European Journal of Engineering Education, 3797, 1–26. https://doi.org/10.1080/03043797.2025.2519594 [Google Scholar] [Crossref]

11. Hung, C. T., Wu, S. E., Chen, Y. H., Soong, C. Y., Chiang, C., & Wang, W. (2024). The evaluation of synchronous and asynchronous online learning: student experience, learning outcomes, and cognitive load. BMC Medical Education, 24(1), 1–8. https://doi.org/10.1186/s12909-024-05311-7 [Google Scholar] [Crossref]

12. Hwang, W., Aguinalde, P., Crippen, K. J., Shin, J., & Carroll, B. F. (2026). Systematic review of work-integrated learning in undergraduate engineering education. Journal of Engineering Education, 115(1), 1–23. https://doi.org/10.1002/jee.70050 [Google Scholar] [Crossref]

13. IBM Corp. (2019). IBM SPSS Statistics for Windows, Version 26.0. 2019, 1–5. https://www.ibm.com/support/pages/downloading-ibm-spss-statistics-26 [Google Scholar] [Crossref]

14. Kementerian Sumber Asli dan Alam Sekitar. (2015). Perintah Kualiti Alam Sekeliling: Aktiviti yang Ditetapkan. 2(91/110/919/014 S.K 02 Jld 2; PN(PU2)280/XVI), 8. https://www.doe.gov.my/portalv1/wp-content/uploads/2015/01/Perintah-Kualiti-Alam-Sekeliling-Aktiviti-Yang-Ditetapkan-Eia-2015.pdf [Google Scholar] [Crossref]

15. Koo, M., & Yang, S. (2025). Likert-Type Scale. Encyclopedia, 1–11. [Google Scholar] [Crossref]

16. Kordi, N. E., Ibrahim, C. K. I. C., Kamal, N. A., Kamaluddin, N. A., & Zain, M. R. M. (2025). Teaching and Learning for Sustainability: Embedding Sustainable Development Goals into Educational Frameworks. Asian Journal of University Education, 21(3), 665–676. https://doi.org/10.24191/ajue.v21i3.45 [Google Scholar] [Crossref]

17. Lud, D. (2023). Impact Assessment. Encyclopedia of Sustainable Management, 1921–1925. https://doi.org/10.1007/978-3-031-25984-5_169 [Google Scholar] [Crossref]

18. Sabri, O. K. (2025). Rethinking sustainability in engineering education: a call for systemic change. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1587430 [Google Scholar] [Crossref]

19. Senécal, P., Goldsmith, B., Conover, S., Sadler, B., & Brown, K. (2006). Principles of environmental impact assessment, best practice. INTERNATIONAL ASSOCIATION FOR IMPACT ASSESSMENT, 1–4. http://scholar.google.com/scholar?hl=en&btnG= Search&q=intitle: PRINCIPLES+OF+ENVIRONMENTAL+IMPACT+ASSESSMENT+BEST+PRACTICE#4 [Google Scholar] [Crossref]

20. Shrestha, N. (2021). Factor Analysis as a Tool for Survey Analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. https://doi.org/10.12691/ajams-9-1-2 [Google Scholar] [Crossref]

21. Wagner, W. E. (2015). Using IBM SPSS statistics for research methods and social science statistics (5th edt.). SAGE Publications Inc. [Google Scholar] [Crossref]

22. Yong, S. T., Chemmangattuvalappil, N. G., & Foo, D. C. Y. (2024). Students’ perception of non-placement work-integrated learning in chemical engineering: Work-related skills towards the post-pandemic future. South African Journal of Chemical Engineering, 47(November 2023), 322–332. https://doi.org/10.1016/j.sajce.2023.12.008 [Google Scholar] [Crossref]

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