Computer-Assisted Teaching and Learning of Electronic Circuit on Student’s Motivation, Achievement and Cognitive Load
Abstract
This paper aims to see the effectiveness of computerized simulation with electronic circuits on students' motivation, achievement and cognitive load. This study uses mechanical electronic circuit simulation as a teaching aid and facilitator for students studying Design and Technology subjects. The objective of this study is to evaluate the effect of using simulation on students' motivation, achievement and cognitive load. This study is also to discuss the development of Simulation and laboratory worksheets for LiveWire software that will be developed for the Design & Technology subject for second-year students at the high school level. The method presented using LiveWire is a systematic work step in exploring the use of simulation for electronic circuits. This electronic circuit simulation is able to give students the ability to read, interpret and transfer wiring circuits to schematic circuits. This LiveWire simulation is also suitable and able to improve the construction of meaningful knowledge for students. Assessment is done through post-tests, Instructional Material Motivation Scale (IMMS) questions and the NASA Task Load Index cognitive load test. The results of this study show that electronic circuit simulation has a positive effect on students' motivation, achievement and cognitive load.
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References
P. Hoonakker, A. P. Carayon, R. Gurses, A. Brown, K. Khunlertkit, McGuire, and J. M. Walker, “Measuring workload of ICU Nurses With a Questionnaire Survey: The NASA task load index (TLX),” IIE Transactions on Healthcare Systems Engineering, vol. 1, no. 2, pp. 131–143, 2011.
M. R. Idris, I. M. Nashir, Z. A. Ahmad, and C. G. Kob, “Development of learning kit and module for a technology design (RBT) subject: Insights from needs analysis,” The Asian Conference on Education 2022: Official Conference Proceedings, 2022.
J. M. Keller, Strategies for stimulating the motivation to learn, Performance and Instruction, Oktober 1987. [Online] Available: http: //terrikrause.com/Content/documents/Keller1987Strategy .pdf, [Accessed: Dec. 15, 2021].
S. N. Moktar, Z. Hanapi, T. T. Kiong, S. Mohamed, and R. Che Rus, “Kesediaan, Penerimaan Dan Pengoperasian guru reka bentuk Dan Teknologi Terhadap Amalan Dalam pentaksiran berasaskan sekolah,” Sains Humanika, vol. 10, no. 3-3, 2018.
Taşlıdere, “Effect of conceptual change oriented instruction on students’ conceptual understanding and decreasing their misconceptions in DC electric circuits,” Creative Education, vol. 4, no. 4, pp. 273–282, 2013.
Mustapha and Z. L. Abdul Rahim, “Pembelajaran Berasaskan Masalah Bagi mata pelajaran elektronik: Satu Kajian tindakan di Sekolah Menengah teknik,” Jurnal Teknologi, 2012.
Barton and P. Maharg, “E-simulations in the wild,” Games and Simulations in Online Learning, pp. 115 149, 2007.
P. Ayres and F. Paas, “Cognitive load theory: New Directions and challenges,” Applied Cognitive Psychology, vol. 26, no. 6, pp. 827–832, 2012.
K. M. Aye, “Simulation of power electronic converter circuits using COM3LAB learning software in teaching: A case study,” International Journal of Trend in Scientific Research and Development, vol. 2, no. 5, pp. 133–137, 2018.
A. B. Ibrahim, F. H. Yahya, N. H. Kahar, N. I. Omar, “Kesan Simulasi Litar Elektronik Berkomputer Terhadap Prestasi, Motivasi, dan KBAT Pelajar dalam Mata Pelajaran RBT di Sekolah Menengah” International Journal of Education, Psychology, and Counseling, vol. 4, no. 28, pp. 28-36. 2019.
W. Kamarulzaman and R. Hashim, “Pelan Pembangunan Pendidikan Malaysia (PPPM) 2013-2025: Unity among students,” SSRN Electronic Journal, 2013.
P. J. Williams, “An introduction to effective pedagogies of Design and Technology Education,” Contemporary Issues in Technology Education, pp. 1–17, 2020.
S. G. Hart, “NASA-Task Load Index (NASA-TLX); 20 years later,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, no. 9, pp. 904–908, 2006.
Nau Edu, Understanding Analysis Of Covariance (Ancova), [Online] Available: https: //oak.ucc.nau.edu/rh232/courses/EPS625/Handouts/ANCOVA/Understanding%20ANCOVA.pdf, [Accessed: Nov. 10, 2021].
J. Frost, Multivariate ANOVA (MANOVA) Benefits and When to Use It, [Online] Available: https: //statisticsbyjim.com/anova/multivariate-anova-manova-benefits-use/, [Accessed: Nov. 10, 2021].















