The effects of interactive whiteboard with activity theory towards year five students’ motivation and performance in learning science
(1) Ku Fang Yee Mail (School of Education, Faculty of Social Sciences & Humanities, Universiti Teknologi Malaysia, Malaysia)
(2) * Zaidatun Tasir Mail (School of Education, Faculty of Social Sciences & Humanities, Universiti Teknologi Malaysia, Malaysia)
*corresponding author

Abstract


The purpose of this study is to investigate the effects of interactive whiteboard (IWB) with activity theory (AT) towards year five students’ motivation and performance in learning Science. This study explores the use and the effects of IWB in learning Science among Year 5 students. Learning activities that are based on Activity Theory approach have been designed to increase students’ motivation and performance in learning Science. Students' learning process and perceptions was analayse too. This study uses a quasi-experimental research design. The data collection process took about 4 weeks where a total of 40 students were selected as the sample of this research. The sample of this study consisted of Year 5 students of primary schools in Segamat District, Johor. Data were obtained through several instruments such as questionnaires and pre-test and post-test. Teaching and learning activities by using interactive whiteboard (IWB) with activity theory (AT) were designed and carry out during the research. The findings of this study will provide a vital contribution to the education field by giving a new option of choosing IWB to enhance teaching and learning process. Overall, The use of IWB integrated with Activity Theory in learning Science is able to increase students’ learning motivation. Students do better in class when they are motivated and have a positive attitude.

Keywords


Interactive Whiteboard; Activity Theory; Motivation; Perception; Science

   

DOI

https://doi.org/10.31763/ijele.v5i1.817 		      

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References


[1] K. Larsen and D. Istance, “Lifelong learning for all. Organisation for Economic Cooperation and Development,” OECD Obs., vol. 225, no. 21, 2001. Available at: Google Scholar

[2] H. Ateş, “Information Technology and the Learning Environment in Primary Schools,” Procedia - Soc. Behav. Sci., vol. 93, pp. 695–698, Oct. 2013, doi: 10.1016/j.sbspro.2013.09.263.

[3] J. Sjönvall, “Interactive Whiteboards: English teachers’ integration of the IWB in English Language Teaching.” 2015. Available at: Google Scholar

[4] B. Gregorcic, E. Etkina, and G. Planinsic, “A New Way of Using the Interactive Whiteboard in a High School Physics Classroom: A Case Study,” Res. Sci. Educ., vol. 48, no. 2, pp. 465–489, Apr. 2018, doi: 10.1007/s11165-016-9576-0.

[5] D. R. Krathwohl and L. W. Anderson, “Merlin C. Wittrock and the Revision of Bloom’s Taxonomy,” Educ. Psychol., vol. 45, no. 1, pp. 64–65, Jan. 2010, doi: 10.1080/00461520903433562.

[6] R. M. Ryan and E. L. Deci, “Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions,” Contemp. Educ. Psychol., vol. 25, no. 1, pp. 54–67, Jan. 2000, doi: 10.1006/ceps.1999.1020.

[7] R. M. Ryan and E. L. Deci, “When rewards compete with nature,” in Intrinsic and Extrinsic Motivation, Elsevier, 2000, pp. 13–54. doi: 10.1016/B978-012619070-0/50024-6

[8] O. W. Bertelsen and S. Bødker, “Activity theory,” HCI models, theories, and frameworks: Toward a multidisciplinary science. pp. 291–324, 2003. doi: 10.1016/B978-155860808-5/50011-3

[9] S. Bødker, “Applying activity theory to video analysis: How to make sense of video data,” Human-Computer Interaction. Context and Consciousness-Activity Theory and Human-Computer Interface. Nardi, BA (Ed.) The MIT Press. pp. 147–174, 1996. Available at: Google Books

[10] I. Ajzen and M. Fishbein, “Theory of reasoned action-Theory of planned behavior,” Univ. South Florida, vol. 2007, pp. 67–98, 1988. Available at: Google Scholar

[11] W. Davis, “The Origins of Image Making,” Curr. Anthropol., vol. 27, no. 3, pp. 193–215, Jun. 1986, doi: 10.1086/203422.

[12] J. L. Pimentel, “A note on the usage of Likert Scaling for research data analysis,” USM R&D J., vol. 18, no. 2, pp. 109–112, 2010. Available at: Google Scholar

[13] M. Radovan and D. Makovec, “Relations between Students’ Motivation, and Perceptions of the Learning Environment,” Cent. Educ. Policy Stud. J., vol. 5, no. 2, pp. 115–138, Jun. 2015, doi: 10.26529/cepsj.145.


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International Journal of Education and Learning
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