Augmented Reality Technology Focused on Spindle Speed in Lathe Operations Integrated with MIAP Learning Model to Enhance Learning Achievement of Industrial Engineering Students
Article Sidebar
Main Article Content
Abstract
The turning process plays a crucial role in manufacturing and maintenance industries. It is a fundamental skill required of technicians and engineers. This study aimed to 1) develop augmented reality (AR) technology focused on spindle speed in lathe operations, integrated with MIAP (Motivation, Information, Application, and Progress) learning; 2) evaluate the effectiveness of this AR technology; and 3) assess students' learning achievement following its application. The sample group consisted of 30 first-year students selected through cluster random sampling. Data collection tools included: 1) a work analysis log; 2) a storyboard recording sheet; 3) a learning management plan; 4) the AR technology; 5) an appropriateness evaluation form with content validity scores ranging from 0.60 to 1.00; and 6) a learning achievement test with an index of item-objective congruence ranging from 0.60 to 1.00, discrimination indices between 0.37 and 0.72, difficulty levels between 0.20 and 0.48, and a reliability coefficient of 0.86 for the entire test. Data analysis included content analysis, and calculating mean scores, standard deviations, and a t-test for one sample. The results indicate that the overall appropriateness of the AR technology was rated at the highest level (x̄=4.87, S.D.=0.18). The AR technology's efficiency exceeded the predetermined 80/80 standard, and post-intervention learning achievements were significantly above the 80% threshold at the .05 level of p-value threshold.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The contents and data in published articles in the Journal of Education and Innovative Learning are considered the ideas and responsibility of the author(s). The Editorial team does not necessarily agree with any ideas or hold mutual responsibility of them. Plagiarism is not permitted, even for academic purposes. However, proper citation must be given whenever referencing the articles.
References
Brahmawong, C. (2013). Developmental testing of media and instructional package. Silpakorn Educational Research Journal, 5(1), 7-20. https://so05.tci-thaijo.org/index.php/suedureasearchjournal/article/view/28419 [in Thai]
Chaimongkhol, N., Oungthong, M., & Sripadit, A. (2020). 2-dimensional augmented reality technology: Milling workpiece aligment using automated machine. Journal of Industrial Education, 19(2), 80-89. https://ph01.tci-thaijo.org/index.php/JIE/article/view/240769 [in Thai]
Chalermdit, J., Wittayakhom, N., & Jeerungsuwan, N. (2018). Challenges on augmented reality for education 4.0. Journal of Education Naresuan University, 20(2), 266-279. https://so06.tci-thaijo.org/index.php/edujournal_nu/article/view/72605 [in Thai]
Doungu-tha, C., & Reabsakul, D. (2024). Creating 3D model for augmented reality case study museum of King Naresuan the great history hall. Art and Architecture Journal Naresuan University, 15(1), 212-229. https://so01.tci-thaijo.org/index.php/ajnu/article/view/268164 [in Thai]
Hantang, S., Khanthirat, W., Lawong, A., Warorot, W., & Sudsuansee, T. (2023). Optimizing the surface roughness of ST37 steel using CNC turning machinery through the Taguchi technique. Journal of Engineering and Industrial Technology, Kalasin University, 1(5), 27-39. https://ph03.tci-thaijo.org/index.php/JEIT/article/view/1115 [in Thai]
Hutamarn, S. (2022). The effect of using MIAP learning model with demonstration set and simulation to promote learning on electric drive and servo system subject. Journal of Education Khon Kaen University, 45(1), 32-43. https://so02.tci-thaijo.org/index.php/EDKKUJ/article/view/252062 [in Thai]
Kamnerdwam, A. T., & Rawangwong, S. (2022). Application of box-behnken experimental design with response surface methodology for prediction of surface roughness in boring turning of carbon steel grade S45C. Pathumwan Academic Journal, 12(34), 1-19. https://ph03.tci-thaijo.org/index.php/pitjournal/article/view/974 [in Thai]
Ketkaew, P., & Chamwichit, N. (2024). Knowledge management model using social network to enhance potential of educational innovation for teachers in health and physical education learning area under the Trang-Krabi secondary educational service area office. Journal of Education and Innovative Learning, 4(1), 129-143. https://so06.tci-thaijo.org/index.php/jeil/article/view/267350 [in Thai]
Khandey, U. (2009). Optimization of surface roughness, material removal rate and cutting tool flank wear in turning using extended Taguchi approach [Master’s thesis, National Institute of Technology Rourkela]. http://ethesis.nitrkl.ac.in/1378/1/Optimization_of_Surface_Roughness%2C_Material_Removal_Rate_and_Cutting_Tool_Flank_Wear_In_Turning_Using_Extended_Taguchi_Approach.pdf
Pattanapipat, B., & Meeusah, N. (2022). The development of instructional media to promote creativity in the creation of digital media with augmented reality technology. Silpakorn University Journal, 42(1), 15-30. https://so05.tci-thaijo.org/index.php/sujthai/article/view/254827 [in Thai]
Phetjan, P., Buaklay, N., Sumim, S., & Oungthong, M. (2023). Development of an instructional package on construction materials by using board games and the MIAP learning process to enhance students’ achievements. Journal of Industrial Education, 22(3), 1-14. https://ph01.tci-thaijo.org/index.php/JIE/article/view/252125 [in Thai]
Poopamonkaipob, K., Tuntinongwanich, S., & Tungkunanan, P. (2020). Achievement with MIAP teaching method via web-based instruction on conditions design for certificate level. Journal of Industrial Education, 19(2), 111-118. https://ph01.tci-thaijo.org/index.php/JIE/article/view/240276 [in Thai]
Promchun, S. (2007). Teaching techniques for technical subjects. King Mongkut's University of Technology North Bangkok Printing. [in Thai]
Ruksorn, P., & Deepradit, S. (2019). The prediction of surface roughness in the S45C medium carbon steel turning process by using response surface methodology. Thai Journal of Operations Research, 7(2), 13-19. https://ph02.tci-thaijo.org/index.php/TJOR/article/view/195475 [in Thai]
Sirapanuwat, N., Satiman, A., Thammetar, T., & Ruangrit, N. (2022). The development of a blended instructional model using augmented reality and innovative design based learning to enhance undergraduate students' ability in creative jewelry design. Journal of Information and Learning, 33(3), 12-21. https://so04.tci-thaijo.org/index.php/jil/article/view/257918 [in Thai]
Sirisukphaiboon, S. (2006). Teaching techniques and methods for vocational education MIAP. King Mongkut’s University of Technology North Bangkok Printing. [in Thai]
Srichailard, U., & Sinthanakul, K. (2017). The development of web-based instruction on a learning management system for a competency-based lesson plan with blended learning and MIAP process for a computer graphics and animation course. Journal of Industrial Education, 16(3), 83-91. https://ph01.tci-thaijo.org/index.php/JIE/article/view/129105 [in Thai]
Sridam, I., Sangkharam, P., & Ittipongse, A. (2024). The role of artificial intelligence technology in higher education institutions. Journal of Education and Innovative Learning, 4(1), 145-159. https://so06.tci-thaijo.org/index.php/jeil/article/view/266447 [in Thai]
Waiwanijchakij, P. (2018). The study of virtual reality and augmented reality technology – impact with 5G mobile network. Journal of Digital Communications, 2(1), 153-172. https://so04.tci-thaijo.org/index.php/NBTC_Journal/article/view/148550 [in Thai]
