Revising engineering education curriculum as a marketing strategy to boost student enrollment
List of Authors
  • Nur Ayuni Shamsul Bahri , Nur Batrisya Anuar

Keyword
  • In today's rapidly changing and competitive marketplace, engineering education institutions recognize the critical role of updating their curriculum as a strategic marketing tool to attract and retain students. The objective of updating the curriculum for

Abstract
  • In today's rapidly changing and competitive marketplace, engineering education institutions recognize the critical role of updating their curriculum as a strategic marketing tool to attract and retain students. The objective of updating the curriculum for future engineering education courses is to bridge the gap between traditional teaching and learning methods and the evolving needs of the industry. To gain valuable insights into the implementation and impact of curriculum updates, this study employs a thematic analysis technique. The thematic analysis aims to determine the main themes that address the following key research questions; What is the impact of updating engineering education curriculum towards student enrollment?.By conducting a thorough analysis of these research articles, this study seeks to provide practical recommendations for engineering education institutions looking to leverage curriculum updates as a marketing strategy in today's highly competitive landscape. By identifying the necessary changes in curriculum elements and addressing the challenges and barriers, institutions can enhance their appeal to prospective students and improve their ability to retain students. Ultimately, the findings of this study aim to support engineering education institutions in effectively utilizing curriculum updates to attract, engage, and retain students in an evolving educational environment.

Reference
  • 1. Almeida, F., and Simoes, J. (2019). The Role of Serious Games, Gamification, and Industry 4.0 Tools in the Education 4.0 Paradigm. Contemporary Educational Technology, 10(2), 120-136.

    2. Carrera-Rivera, A., Larrinaga, F., and Lasa, G. (2022). Context-awareness for the design of Smart-product service systems: Literature review. Computers in Industry, 142, 103-730.

    3. Das, S., Kleinke, D., and Pistrui, D. (2020). Reimagining Engineering Education: Does Industry 4.0 Need Education 4.0?. ASEE Virtual Annual Conference Content Access Proceedings.

    4. Ismail, N. A., Wahid, N. A., Yusoff, A. s. M., and Wahab, N. b. A. (2020). The Challenges of Industrial Revolution (IR) 4.0 towards the Teacher’s Self-Efficacy. Journal of Physics: Conference Series.

    5. Lase, D. (2019). Education and Industrial Revolution 4.0. doi:10.24114/jh.v10i1

    6. Lau Chyuan Jinn, Iylia Aniss Kamarul Zaman, Syerrina Zakaria, Shalela Mahali and Nor Azlida Aleng, (2022), Analizing Undergraduate Enrollment Pattern in Malaysia Public Universities using Statistical Method, Journal of Mathematical Sciences and Informatics, 2 (2), 1-16.

    7. Salleh, H., (2019). International Journal of Scientific and Technology Research, 8 (9), 813-817.

    8. Bernardo WM, Nobre MRC, Jatene FB. A prática clinica baseada em evidências. Parte II: buscando as evidências em fontes de informação. Rev Assoc Med Bras. (2004), 50(1),1

    9. Ghazalan, M. S., Halim, F.A., Hamidon, N.I.,Ayuni, T.I., Hariri, A., Salehhudin, S. A. Bahrol, K. Zakaria, N. and Roddin, R. (2019), Engineering Students’ Generic Skills after Industrial Training: Employers Perception, Journal of Technical Education and Training,11(2), 058–060.

    10. M. Jaeger and D. Adair, (2019), Industry Perspective of Engineering Competencies in Different Socio-Economic Contexts – a Comparative Study from Kuwait and Kazakhstan, IEEE Global Engineering Education Conference (EDUCON), Dubai, United Arab Emirates, 166-172.

    11. Ahmed, N., Chowdhury, A. M., Urmi, T., & Jamal, L. (2023). Impact of Socio-Economic Factors on Female Students’ Enrollments in Science, Technology,Engineering and Mathematics and Workplace Challenges in Bangladesh. American Behavioral Scientist, 67(9), 1104–1121.

    12. Palmer, S., (2013), Modelling Engineering Student Academic Performance Using Academic Analytics, International Journal of Engineering Education, 29 (1). 13-138.

    13. Law, K.M. Y., Geng, S. and Li, T. (2019). Student enrolment, motivation and learning performance in a blended learning environment: The mediating effects of social, teaching and cognitive presence, Computer and Education, 136, 1-12.

    14. Baughman, J., Hassall, L. and Xu, X. (2019). Comparison of student team dynamics between nonflipped and flipped versions of a large enrolment sophomore design engineering course, Journal of Engineering Education, 108 (1), 103-118.

    15. Nortvedt, G.A. and Siqveland, A. (2018), Ae beginning calculus and engineering students adequately prepatred for higher education? An assessment of students’ basic mathematical knowledge, International Journal of Mathematical Education in Science and Technology, 325-343.

    16. Lázaro Alvarez, N., Callejas, Z., & Griol, D. (2020). Predicting computer engineering students’ dropout in Cuban higher education with pre-enrollment. Journal of Technology and Science Education, 10(2), 241-258.

    17. Cho, H.J., Zhao, K., Lee, C.R. et al. Active learning through flipped classroom in mechanical engineering: improving students’ perception of learning and performance. IJ STEM Ed 8, 46 (2021).