UPSI Digital Repository (UDRep)
|
|
|
Abstract : Universiti Pendidikan Sultan Idris |
This study investigates the effectiveness of mobile learning in the teaching and learning of Probability. The context of mobile here is not just restrained to gadgets such as smartphones but also the fact that teaching and learning can occur beyond boundaries and anywhere according to the convenience and personal preference of the students. This study made use of the pretest – posttest quasi experimental design and the students chosen for the study were from a pre-university college located in the northern region of the country. A total of 92 students made up the sample of the study. There were 46 students each in the experimental and control groups respectively. Cluster random sampling was employed as the sampling method here. The instrument used to collect data with the aim of strengthening the outcome of the study was the achievement test. A quantitative approach was undertaken specifically to analyse the obtained data. The paired sample t-test and independent sample t-test were executed in the data analysis process. Initially, every student involved in the study regardless of the group they were in possessed equal strength in their understanding of the content being covered as indicated by the results of their pre-test. The paired sample t-test yielded p < 0.05 which meant that there was a significant difference between the mean score of the pre-test and post-test in the experimental group and control group respectively. The outcome of the independent sample t-test showed that there was a significant difference between the mean score of the experimental group and that of the control group in the posttest (p < 0.05). This indicated that the treatment via mobile learning had indeed played a role in the improved performance of students in Probability, hence proving the effectiveness of mobile learning in the teaching and learning of Probability. |
References |
Barhoumi, C. (2015) The effectiveness of Whatsapp mobile learning activities guided by activity theory on students’ knowledge management. Contemporary Educational Technology, 6(3), 221-238. Cheung, W.S., Hew, K.F., & Ng, S.L. (2008). Towards an understanding of why students contribute in asynchronous online discussion. Journal of Educational Computing Research, 38(1), 29-50. Chu, H.C. (2013). Potential negative effects of mobile learning on students’ learning achievement and cognitive load – A format assessment perspective. Educational Technology & Society, 17(1), 332-344. Connelly, L.M. (2008). Pilot studies. Medsurg Nursing, 17(6), 411-2. Connor, T. (1997). Using learning styles to adapt technology for higher education. Retrieved from the Indiana State University website: http://web.indstate.edu/ctl/styles/learning.html Crossman, A. (2014). Cluster sample. Retrieved from the ThoughtCo. website: https://www.thoughtco.com/cluster-sampling-3026725 Engestrom, Y. (1987). Learning by expanding: An activity-theoretical approach to developmental research. Helsinki, Finland: Orienta-Konsulit Oy. Gikas, J., & Grant, M.M., (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones and social media. Internet and Higher Education, (19), 18-26. Hwang, G.J., & Chang, H.F. (2011) A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56(4), 1023-1031. Kadar Abdillahi Barreh, & Zoraini W.A. (2015). A Framework for Mobile Learning for Enhancing Learning in Higher Education. Malaysian Online Journal of Educational Technology. 3(3). Kimberlin, C.L., & Winterstein, A.G., (2008). Validity and reliability of measurement instruments used in research. Am J Health Syst Pharm, 65(23), 2276-84. Litchfield, A. (2007). Directions for m-learning research to enhance active learning. Paper presented at ASCILITE. Singapore. Looi, C.K., Seow, P., Zhang, B., So, H.J., Chen,W., & Wong, L.H. (2010). Leveraging mobile technology for sustainable seamless learning : A research agenda. British Journal of Educational Technology, 41(2), 154-169. Lunsford, B.R. and Lunsford, T.R. (1995). Research forum: The research sample. Part 1: Sampling, 7(3), 105-112. McDevitt, T. M., & Ormrod, J. E. (2013). Child development and education. Pearson International Edition (5th ed.). Upper Saddle River, New Jersey: Pearson. Muasaad Alrasheedi. (2014). Proceedings of the World Congress on Engineering and Computer Science (1) WCECS Notar, C.E., Zuelke, D.C., Wilson,J.D., & Yunker, B.D. (2004). The table of specifications: insuring accountability in teacher made tests. Journal of Instructional Psychology, 31(2). Sara Aloraini (2012). The Impact of Using Multimedia on Students’ Academic Achievement in the College of Education at King Saud University. Journal of King Saud University, (24), 75-82. Sekaran, U. (2000). Research Method for Business: A Skill Building Approach, John Wiley and Sons, Inc. Syed Roohullah Jan, Farman Ullah, Hashim Ali, & Fazlullah Kahn. (2016). Enhanced and Effective Learning through Mobile Learning : An Insight into Students Perception of Mobile Learning at University Level. International Journal of Scientific Research in Science, Engineering and Technology. 2(2), 674-681. Traxler, J. (2007). Defining, Discussing and Evaluating Mobile Learning. International Review of Research in Open and Distance Learning, 8(2), 346-875. Traxler, J. (2009). Learning in a Mobile Age. International Journal of Mobile and Blended Learning, 1(1), 1-12. |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |