E-learning to m-learning: are the politeknik malaysia’s lecturers ready for the transition?

Ilya Binti Ismail(1), Noor Azlina binti Ahmad(2), Suriah binti Mohamad(3),
(1) Electrical Engineering Department, Politeknik Sultan Salahuddin Abdul Aziz Shah, Selangor  Malaysia
(2) Mechanical Engineering Department, Politeknik Nilai, Negeri Sembilan  Malaysia
(3) Civil Engineering Department, Politeknik Port Dickson, Negeri Sembilan  Malaysia

Corresponding Author

DOI : https://doi.org/10.32698/01212

Full Text:    Language : 


The rapid development of 4IR in Malaysia has revolutionized the way of learning. Whole world is promoting electronic learning (e-Learning) as a new method to enhance the learning activities. The campaign continues to hike up when the world was shaken by the COVID19 pandemic, which caused most of the learning centre to close and force classes to be implemented completely online. Hence, this situation introduces the style of studying through mobile phone using the internet known as m-Learning. Although those two styles has been introduced for some time now at Politeknik Malaysia, there is no research conducted to measure the readiness of e-Learning and m-Learning within its context. As such, the aim of this study is to assess the lecturers' readiness in two politeknik namely; Politeknik A and Politeknik B. A total of 140 respondents were collected from using an online survey. A five-point Likert scale that demonstrated degrees of the agreement was applied to capture the lecturers' perceptions on their readiness for these two style learning. The results attained from this particular assessment can be used as some sort of guidelines for further development of e-Learning environment in Politeknik Malaysia.


Readiness Mobile learning E-learning Post-COVID19


Adiyarta, K., Napitupulu, D., Rahim, R., Abdullah, D., & Setiawan, M. I. (2018). Analysis of e-learning implementation readiness based on integrated elr model. Journal of Physics: Conference Series, 1007(1). https://doi.org/10.1088/1742-6596/1007/1/012041

Ariffin, S. A. (2011). Mobile Learning in the Institution of Higher Learning for Malaysia students : Culture Perspectives. International Journal on Advanced Science, Engineering and Information Technology, 1(3), 283. https://doi.org/10.18517/ijaseit.1.3.59

Babbie, E. (2012). The Practice of Social Research. Wadsworth Cengage Learning (Vol. 66).

Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and Test of a Theory of Technological Learning and Usage. Human Relations, 45(7), 659–686.

Muijs, D. (2010). Doing quantitative research in education with SPSS. Sage.

Borotis, S., & Poulymenakou, A. (2009). E-learning acceptance in workplace training: The case of a Greek bank. 17th European Conference on Information Systems, ECIS 2009.

Heinich, R., Molenda, M., Russell, J., & Smaldino, S. (2012). Instructional Media and Technology for Learning. International Journal of Distributed and Parallel Systems, 3, 8.

Hsiu Mei Huang, & Liaw, S. S. (2005). Exploring users’ attitudes and intentions toward the web as a survey tool. Computer in Human Behaviour, 21(5), 729–743.

Masrom, M. (2007). Technology acceptance model and E-learning. 12th International Conference on Education, (May), 21–24.

Drost, E. A. (2011). Validity and reliability in social science research. Education Research and perspectives, 38(1), 105.

Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273-1296.

McNeish, D., & Dumas, D. (2018). Calculating Conditional Reliability for Dynamic Measurement Model Capacity Estimates. Journal of Educational Measurement, 55(4), 614–634.

Nulty, D. D. (2008). The adequacy of response rates to online and paper surveys: What can be done? Assessment and Evaluation in Higher Education, 33(3), 301–314. https://doi.org/10.1080/02602930701293231

Aydin, C. H., & Tasci, D. (2005). Measuring Readiness for e-Learning: Reflections from an Emerging Country. Educational Technology & Society, 8 (4), 244-257.

Article Metrics

 Abstract Views : 69 times
 PDF Downloaded : 24 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.