A STUDY ON AN AR-BASED CIRCUIT PRACTICE
Hae Chan Na
BioComputing Lab, Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 31253 (Korea, Republic of)
Yoon Sang Kim
yoonsang@koreatech.ac.krBioComputing Lab, Institute for Bioengineering Application Technology, Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 31253 (Korea, Republic of)
Abstract
Recently, the number of AR-based practice cases has been increasing. In this paper, the effect of AR-based circuit practice was examined through an experiment with 60 subjects (control group: 30, experimental group: 30). The report score, completion time, question count, and USE questionnaire were used in the analysis. As a result of the experiment, the report score was significantly increased by 15.48% in the experimental group (△report: +18 points) than in the control group (△report: +7 points). Question count decreased twice as much in the experimental group (△question: -18 times) as in the control group (△question: -9 times). The completion time of the experimental group (△time: -16 min) was reduced by approximately 4 min more than that of the control group (△time: -12 min), however, the difference was not statistically significant. The USE questionnaire received evaluations of 6.0 or higher (on a 7-point scale) in all categories (usefulness, ease of use, ease of learning, satisfaction). Therefore, From the experimental results, the proposed AR-based circuit practice is confirmed to be more effective than traditional circuit practice.
Keywords:
AR-based circuit practice, AR education, AR practice, practice evaluationReferences
Á lvarez-Marín, A., Velázquez-Iturbide, J. Á ., & Campos-Villarroel, R. (2021). Interactive AR App for RealTime Analysis of Resistive Circuits. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 16(2), 187-193. https://doi.org/10.1109/RITA.2021.3089917
Google Scholar
Arifin, S., & Maharani, L. (2021). Assessing user experience of a mobile application using usability questionnaire method. Applied Information System and Management (AISM), 4(1), 1-10. https://doi.org/10.15408/aism.v4i1.20265
Google Scholar
Avilés‐Cruz, C., & Villegas‐Cortez, J. (2019). A smartphone‐based augmented reality system for university students for learning digital electronics. Computer Applications in Engineering Education, 27(3), 615-630. https://doi.org/10.1002/cae.22102
Google Scholar
Cao, W., & Yu, Z. (2023). The impact of augmented reality on student attitudes, motivation, and learning achievements-a meta-analysis (2016–2023). Humanities and Social Sciences Communications, 10(1), 1-12. https://doi.org/10.1057/s41599-023-01852-2
Google Scholar
Diegmann, P., Schmidt-Kraepelin, M., Eynden, S., & Basten, D. (2015). Benefits of augmented reality in educational environments-a systematic literature review. Wirtschaftsinformatik Proceedings 2015, https://aisel.aisnet.org/wi2015/103
Google Scholar
Kwak, S. G., & Kim, J. H. (2017). Central limit theorem: the cornerstone of modern statistics. Korean journal of anesthesiology, 70(2), 144-156. https://doi.org/10.4097/kjae.2017.70.2.144
Google Scholar
Lee, J. O., & Kim, Y. S. (2011). An AR-based Wiring Practice for PLC Training. Journal of International Council on Electrical Engineering, 1(4), 425-429. https://doi.org/10.5370/JICEE.2011.1.4.425
Google Scholar
Lund, A. M. (2001). Measuring usability with the use questionnaire. Usability interface, 8(2), 3-6. www.stcsig.org/usability/newsletter/index.html
Google Scholar
Oh, D., Shim, S., & Choi, H. (2020). Development of Augmented Reality Based Electronic Circuit Education System. KIPS Transactions on Computer and Communication Systems, 9(12), 333–338. https://doi.org/10.3745/KTCCS.2020.9.12.333
Google Scholar
Park, J. S. (1998). Electrical engineering education through the undergraduate system. The Korean Institute of Electrical Engineers, 47(2), 46-48.
Google Scholar
Prihantono, M. R., Usman, T., & Wakid, M. (2020). The development of learning media’s “tutorial video for setting the front wheel alignment with a 3D spooring tools” at SMK N 1 magelang. In Journal of Physics: Conference Series. 1700(1). https://doi.org/10.1088/1742-6596/1700/1/012061
Google Scholar
Reyes‐Aviles, F., & Aviles‐Cruz, C. (2018). Handheld augmented reality system for resistive electric circuits understanding for undergraduate students. Computer Applications in Engineering Education, 26(3), 602-616. https://doi.org/10.1002/cae.21912
Google Scholar
Takrouri, K., Causton, E., & Simpson, B. (2022). AR Technologies in Engineering Education: Applications, Potential, and Limitations. Digital, 2(2), 171-190. https://doi.org/10.3390/digital2020011
Google Scholar
Widoyoko, E. P. (2012). Teknik penyusunan instrumen penelitian. Yogyakarta : Pustaka Pelajar Yusuf, Y.A.M., Ismail, I., Hamzah, W.M.A.F.W., Amin, M.A.M., & M. Arsad, M.A. (2023). A Literature Review on Mobile Augmented Reality in Education. Innovation of Businesses, and Digitalization during Covid-19 Pandemic ICBT 2021, 875-888. https://doi.org/10.1007/978-3-031-08090-6_56
Google Scholar
Authors
Hae Chan NaBioComputing Lab, Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 31253 Korea, Republic of
Authors
Yoon Sang Kimyoonsang@koreatech.ac.kr
BioComputing Lab, Institute for Bioengineering Application Technology, Department of Computer Science and Engineering, Korea University of Technology and Education, Cheonan 31253 Korea, Republic of
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