Usage of Online Learning Resources Among Academic Staff at Malaysian University

  • Authors

    • Kamilah Radin Salim
    • Morina Abdullah
    • Nor Liza Ali
    • Rosmah Ali
    2018-08-14
    https://doi.org/10.14419/ijet.v7i3.25.17462
  • blended learning, e-learning, online learning resources, online teaching and learning strategies, teachers’ training

  • Abstract

    This paper reports on the awareness and usage of online learning resources in teaching and learning among the academic staff at a public university in Malaysia. In addition, the advantages and disadvantages of online learning resources are also presented. Online learning resources recommended by the management of the university include e-learning modules, Open Courseware (OCW), Massive Open Online Courses (MOOC), BLOSSOMS, Edutainment and Video of Exemplary Professionals. Data were collected using a survey questionnaire with Likert scale items and open-ended questions. The questionnaires were distributed to 160 academic staff of the university. The results show that the most attended training was e-learning and most respondents are currently implementing it in their courses. However, less than 10% of the respondents implemented the OCW, MOOC, BLOSSOMS and Edutainment. About 23.1% of the respondents implemented Video of Exemplary Professionals in their teaching and learning. Some respondents also reported lack of student participation in using e-learning and other resources due to system instability. The practical implication of this study is that more training on new online learning resources should be provided to the academic staff to increase their skills in using the online learning resources in their teaching. Better internet connection is also necessary to boost the use of these resources.

     

  • References

    1. [1] Innovation NAL. 2018.

      [2] Alias RAaA, B. A Guide to New Academia Learning Innovation. Perpustakaan Negara Malaysia. 2016.

      [3] Byard M. IT under schoolâ€based policies for Initial Teacher Training. Journal of Computer Assisted Learning. 1995;11(3):128-40.

      [4] 4Veen W. The role of beliefs in the use of information technology: implications for teacher education, or teaching the right thing at the right time. Journal of Information Technology for teacher education. 1993;2(2):139-53.

      [5] Wild M. Technology refusal: Rationalising the failure of student and beginning teachers to use computers. British Journal of Educational Technology. 1996;27(2):134-43.

      [6] Shah GUD, Bhatti MN, Iftikhar M, Qureshi MI, Zaman K. Implementation of technology acceptance model in e-learning environment in rural and urban areas of Pakistan. World Applied Sciences Journal. 2013;27(11):1495-507.

      [7] Oliver R. Factors Influencing Beginning Teachers' Uptake of Computers. Journal of Technology and Teacher Education. 1994;2(1):71-89.

      [8] Downes T. Studentâ€teachers' experiences in using computers during teaching practice. Journal of Computer Assisted Learning. 1993;9(1):17-33.

      [9] Dunn S, Ridgway J. Computer use during primary school teaching practice: a survey. Journal of Computer Assisted Learning. 1991;7(1):7-17.

      [10] Mundy M-A, Kupczynski L, Kee R. Teacher’s perceptions of technology use in the schools. Sage Open. 2012;2(1):2158244012440813.

      [11] Siti Syahirah S. VLE Frog tingkat minat bidang STEM. Berita Harian. 2017.

      [12] Frogasia. Malaysians can now learn anywhere, anytime. 2018.

      [13] Nikian S, Nor FM, Aziz MA. Malaysian teachers’ perception of applying technology in the classroom. Procedia-Social and Behavioral Sciences. 2013;103:621-7.

      [14] Xu D, Jaggars SS. Adaptability to Online Learning: Differences across Types of Students and Academic Subject Areas. CCRC Working Paper No. 54. Community College Research Center, Columbia University. 2013.

      [15] Flora McMartin EIWMMM. International Journal on Digital Libraries. 2018;9(1):65-79.

      [16] LLC E. E-Learning: Concepts, trends, applications. 2018.

      [17] Ahmad NB, Ishak MK, Alias UF, Mohamad N. An Approach for E-Learning Data Analytics using SOM Clustering. International Journal of Advances in Soft Computing & Its Applications. 2015;7(3).

      [18] Gulavani S. E-Learning in Indian Higher Education System.

      [19] Hussain RMR. E-learning in higher education institutions in Malaysia. E-mento. 2004;5(7):72-5.

      [20] Puteh M, editor E-LEARNING IN MALAYSIAN PUBLIC UNIVERSITIES: CASE STUDIES OF UNIVERSITI KEBANGSAAN MALAYSIA AND UNIVERSITI TEKNOLOGI MALAYSIA1. Paper presented at the 1st International Malaysian Educational Technology Convention; 2007.

      [21] Thinakaran R, Ali R. Programming Tutoring Systems and Motivation Assessment Model. Advanced Science Letters. 2017;23(4):2709-12.

      [22] Martinez S. OCW (OpenCourseWare) and MOOC (open course Where?). Proceedings of OpenCourseWare Consortium Global. 2014.

      [23] Ware MOC. 2018.

      [24] Daradoumis T, Bassi R, Xhafa F, Caballé S, editors. A review on massive e-learning (MOOC) design, delivery and assessment. P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2013 Eighth International Conference on; 2013: IEEE.

      [25] BLOSSOMS M. 2018.

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  • How to Cite

    Radin Salim, K., Abdullah, M., Liza Ali, N., & Ali, R. (2018). Usage of Online Learning Resources Among Academic Staff at Malaysian University. International Journal of Engineering & Technology, 7(3.25), 16-20. https://doi.org/10.14419/ijet.v7i3.25.17462

    Received date: 2018-08-14

    Accepted date: 2018-08-14

    Published date: 2018-08-14