Perceptions of Undergraduate Logistics Students on Knowledge of Logistics: A Case of Private University in Malaysia

  • Leow Ji Mun UCSI University
  • Liew Pei Shan UCSI University
  • Dazmin Daud UCSI University
  • Nursyamilah Annuar Universiti Teknologi MARA, Cawangan Perlis

Abstract

The demand for logistics is increasing rapidly these days, thus the knowledge of logistics plays an important role. There are many types of businesses involving logistic activities which require competent logisticians. Students who graduate from logistics or supply chain programmes are expected to have the knowledge of logistics when they work and later become competent. There is a gap where logistics programmes at higher education institutions need relevant curriculum so that the graduates excel not only in theory but also in practical subjects. This research paper aims to explore the perceptions of undergraduate students on the knowledge of logistics in a Malaysian private university. A Theory of Education Productivity is adopted as guidance in the study. Three independent factors are derived from the theory, namely aptitude, instruction and environment. Using non-probability sampling and regression analysis, these three factors have an influence on the knowledge of logistics for undergraduates. Implications of the findings are also discussed.

References

Adunola, O. (2011). The impact of teachers’ teaching methods on the academic performance of primary school pupils in Ijebu-Ode local cut area of Ogun State, Ego Booster Books, Ogun State, Nigeria.
Alhija, F. N.-A. (2017). Teaching in higher education: good teaching through students’ lens. Studies in Educational Evaluation, 54, 4–12. Doi: 10.1016/j.stueduc.2016.10.006
Alzobiani, I. (2020). The qualities of effective teachers as perceived by Saudi EFL students and teachers. English Language Teaching, 13(2), 32-47.
Al-Zu’be, A. F. M. (2013). The difference between the learner-centred approach and the teacher- centred approach in teaching English as a foreign language. Educational Research International, 2(2), 24–31.
Backer, L.D., Van Keer, H. & Valcke, M. (2012). Exploring the potential impact of reciprocal tutoring on higher education students’ metacognitive knowledge and regulation. Instructional Science, 40, 559-588. Doi: 10.1007/s11251-011-9190-5
Bal-Tastan, S., Davoudi, S.M.M., Masalimova, A.R., Bersanov, A.S., Kurbanov, R.A., Boiarchuk, A. & Pavlushin, A.A. (2018). The impacts of teacher’s efficacy and motivation on student’s academic achievement in science education among secondary and high school students. EURASIA Journal of Mathematics, Science and Technology Education, 14(6), 2353-2366. Doi: https://doi.org/10.29333/ejmste/89579
Barmola, K.C. (2013). Aptitude and academic performance of adolescents. International Journal of Research in Social Sciences. 3(4). 372-382.
Beinke, T., Alla, A. A., & Freitag, M. (2017). Resource sharing in the logistics of the offshore wind farm installation process based on a simulation study. International Journal of e-Navigation and Maritime Economy, 7, 42–54. Doi: 10.1016/j.enavi.2017.06.005
Bennett, S., Agostinho, S., & Lockyer, L. (2015). Technology tools to support learning design: Implications derived from an investigation of university teachers design practices. Computers & Education, 81, 211–220. Doi: 10.1016/j.compedu.2014.10.016
Brouwer, J., Jansen, E., Hofman, A., & Flache, A. (2016). Early tracking or finally leaving?
Determinants of early study success in first-year university students. Research in Post- Compulsory Education, 21(4), 376–393. Doi: 10.1080/13596748.2016.1226584
Castro, M., Exposito-Casas, E., Lopez-Martin, E., Lizasoain, L., Navarro-Asencio, E. & Gaviria, J.L. (2015). Parental involvement on student academic achievement: A meta-analysis. Educational Research Review, 14, 33-46. Doi: https://doi.org/10.1016/j.edurev.2015.01.002
Chinnaraj, A. and Tamilselvan, N. (2016). Information search pattern of medical professionals in digital environment: A survey of selected colleges in Coimbatore. International Journal of Library & Information Science (IJLIS). Vol. 5(3). 85–90, Article ID: IJLIS_05_03_007. Available online at. http://www.iaeme.com/IJLIS/issues.asp
Chu, S.K.W, Ravana, S.D., Mok, S.S.W. & Chan, R.C.H. (2019). Behavior, perceptions and learning experience of undergraduates using social technologies during internship. Educational Technology Research and Development, 67, 881-906. Doi: https://doi.org/10.1007/s11423-018-9638-2
Creswell, J., (2003). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Thousand Oaks, California: Sage Publications.
Daud, D. (2012). Collaboration for logistics education in Malaysia. Retrieved from http://eprints.usm.my/34641/1/BULLETIN_13_PART_7.pdf
Doumen, S., Broeckmans, J., & Masui, C. (2014). The role of self-study time in freshmen’s
achievement. Educational Psychology, 34(3), 385–402. Doi: 10.1080/01443410.2013.785063
Dzulkifly, D. (2018, November 8). Employers blame poor communication, language skills for unemployed Bumi grads: Malay Mail. Retrieved from https://www.malaymail.com/news/malaysia/2018/11/08/employers-blame-poor-communication-language-skills-for-unemployed-bumi-grad/1691146
Etter, J. (2015). Characteristics of users and usage of different types of electronic cigarettes: findings from an online survey, 111(4), 724-733. Doi: https://doi.org/10.1111/add.13240
Forster, A.G. & van de Werfhorst, H.G. (2019). Navigating institutions: Parents’ knowledge of the educational students’ success in education. European Sociological Review, 36(1), 48-64. Doi: https://doi.org/10.1093/esr/jcz049
Fu, H. (2017). Integration of logistics simulation technology and logistics learning factory in a two-stage teaching method for logistics management courses. International Journal of Emerging Technologies in Learning (IJET), 12(09), 62-72. Doi: 10.3991/ijet.v12i09.7485
Gangadhar, KC, Nagaraja, A, Vasanthakumar, M (2017) Present library automation status: open-source library software-an opportunity or threat? International Journal of Library and Information Science 6(1): 56–66.
Gravier, M. & Farris, M.T. (2008). An analysis of logistics pedagogical literature: Past and future trends in curriculum, content, and pedagogy. The International Journal of Logistics Management, 19(2), 233-253. Doi: https://doi.org/10.1108/09574090810895979
Hénard, F., & Roseveare, D. (2012). Fostering quality teaching in higher education: Policies and practices. Paris: OECD.
Hightower, A. M., Delgado, R. C., Lloyd, S. C., Wittenstein, R., Sellers, K., & Swanson, C. B. (2011). Improving student learning by supporting quality teaching. Doi: https://epe.brightspotcdn.com/96/bd/c7ea3e084ade93466ae02042ba7d/eperc-qualityteaching-12.11.pdf
Hussin, N.H. & Tamuri, A.H. (2019). Embedding values in teaching Islamic education among excellent teachers. Journal for Multicultural Education, 13(1), 2-18. Doi: https://doi.org/10.1108/JME-07-2017-0040
Hynie, M., Jensen, K., Johnny, M., Wedlock, J.& Phipps, D. (2011). Student internships bridge research to real world problems, Education + Training, Vol. 53(1), 45-56. Doi: https://doi.org/10.1108/00400911111102351
Ibrahim, M. M., Arshad, M. Y., Rosli, M. S., & A.shukor, N. (2017). The roles of teacher and students in self-directed learning process through blended problem-based learning. Sains Humanika, 9(1-4). Doi: 10.11113/sh. v9n1-4.1121
Jalani, N. H., & Sern, L. C. (2015). Efficiency comparisons between example-problem-based learning and teacher-centered learning in the teaching of Circuit Theory. Procedia Social and Behavioral Sciences, 204, 153–163. Doi: 10.1016/j.sbspro.2015.08.128
Kubina, R.M. Jr. & Morrison, R.S. (2000). Fluency in education. Behavior and Social Issues, 10, 83-99. Doi: https://doi.org/10.5210/bsi.v10i0.133
Kuterbach, J. M. (2013). A model of academic enablers and academic performance among postsecondary learners. The Pennsylvania State University.
Lei, J. (2010). Quantity versus quality: A new approach to examine the relationship between technology use and student outcomes. British Journal of Educational Technology, 41(3), 455–472. Doi: 10.1111/j.1467-8535.2009.00961.x
Milun, T, Mardešić, J and Kovač, G (2016). Do gender and age impact student success? Proceeding: Contemporary Issues in Economy & Technology (CIET2016), S198-S208. www.paper.researchbib.com/view/paper/88516
Mohammad, A., Abraham, B., & Singh, J. (2011). Attitude of college students towards physical education and sports. International Journal of Physical Education, 4(1), 45-52.
Munkácsi, A., & Kazai-Ónodi, A. (2018). Challenges and methods of the 21st century in logistics education. Some Recent Research from Economics and Business Studies, International Research Institute, Komárno, 211-222.
Nasser-Abu Alhija (2017). Teaching in higher education: Good teaching through students’ lens. Studies in Educational Evaluation, 54, 4-12. Doi: https://doi.org/10.1016/j.stueduc.2016.10.006
Omodan, B.I. (2022). The potency of social constructivism on classroom productivity in universities. Studies in Learning and Teaching, 3(1), 1-10. Doi: https://doi.org/10.46627/silet
Opdecam, E., Everaert, P., Keer, H. V., & Buysschaert, F. (2014). Preferences for team learning and lecture-based learning among first-year undergraduate accounting students. Research in Higher Education, 55, 400-432. Doi: 10.1007/s11162-013-9315-6
Peklaj, C. (2015). Teacher competencies through the prism of educational research. Center for Educational Policy Studies Journal, 5(3). Available online; Doi: https://doi.org/10.26529/cepsj.134
Pellizzari, M., & Billari, F. (2012). The younger, the better? Age-related differences in academic performance at university. Journal of Population Economics, 25, 697-739. Doi: https://doi.org/10.1007/s00148-011-0379-3
Ruan, X., Zhou, J., Tu, H., Jin, Z., & Shi, X. (2017). An improved cellular automaton with axis information for microscopic traffic simulation. Transportation Research Part C: Emerging Technologies, 78, 63–77. Doi: 10.1016/j.trc.2017.02.023
Russell, R., & Startup, M. (1986). Month of birth and academic achievement. Personality and Individual Differences, 7(6), 839-846. Doi: https://doi.org/10.1016/0191-8869(86)90082-6
Stevens, S., Mills, R. & Kuchel, L. (2019). Teaching communication in general science degrees: Highly valued but missing the mark. Assessment & Evaluation in Higher Education, 44(8), 1163-1176. Doi: https://doi.org/10.1080/02602938.2019.1578861
Trautrims, A. Defee, C. & Farris, T. (2016). Preparing business students for workplace reality – using global virtual teams in logistics and SCM education. The International Journal of Logistics Management, 27(3), 886-907. Doi: https://doi.org/10.1108/IJLM-01-2015-0003
Walberg, H., Fraser, B. and Welch, W. (1986). A test of a Model of Educational Productivity among Senior High School Students. The Journal of Educational Research, 79(3), 133-139. Doi: https://doi.org/10.1080/00220671.1986.10885664
Published
2022-07-26
How to Cite
JI MUN, Leow et al. Perceptions of Undergraduate Logistics Students on Knowledge of Logistics: A Case of Private University in Malaysia. Jurnal Intelek, [S.l.], v. 17, n. 2, p. 135-148, july 2022. ISSN 2682-9223. Available at: <https://myjms.mohe.gov.my/index.php/intelek/article/view/18186>. Date accessed: 05 feb. 2023. doi: https://doi.org/10.24191/ji.v17i2.18186.