Project-based Augmented Reality (PjBAR): Evaluation for Vocational Education Effectiveness
DOI:
https://doi.org/10.56294/dm2024.661Keywords:
Effect Size, Learning Effectiveness, Project-based Augmented Reality, Vocational Education, Quality EducationAbstract
Introduction: The Industrial Revolution 4.0 requires vocational education to adopt innovative learning approaches that integrate advanced technology with real work practices. This study aims to analyze the effectiveness of the Project-based Augmented Reality (PjBAR) model in improving the quality of learning in vocational education.
Methods: Data were collected through a trial implementation of the PjBAR model compared to direct instruction. The effectiveness of the model was analyzed using effect size to determine how much influence the PjBAR model had on learning outcomes.
Results: This study revealed a significant difference between the PjBAR model class and the direct instruction method. The average learning outcomes of the PjBAR class were superior to those of the direct instruction class. Effect size analysis indicated that the PjBAR model had a strong impact on improving student learning outcomes.
Conclusions: This model not only improves learning outcomes and the quality of education but is also able to provide a more interesting learning experience through the integration of augmented reality technology, making it relevant to meet the needs of 21st-century learning.
References
1. Benaissa A, Bahri A, Allaoui AE, Salahddine MA. Transformative Progress in Document Digitization: An In-Depth Exploration of Machine and Deep Learning Models for Character Recognition. Data and Metadata. 2023;2: 174–174. https://doi.org/10.56294/dm2023174.
2. Noh J, Kim Y, Kim B. Affordance-Driven Design for Digital Learning. Journal of Theoritical and Applied Information Technology. 2024;102(9): 4043–4049. https://www.jatit.org/volumes/Vol102No9/27Vol102No9.pdf
3. Ahmad ST, Watrianthos R, Samala AD, Muskhir M, Dogara G. Project-based Learning in Vocational Education: A Bibliometric Approach. International Journal of Modern Education and Computer Science. 2023;15(4): 43. https://doi.org/10.5815/ijmecs.2023.04.04.
4. Antonietti C, Cattaneo A, Amenduni F. Can Teachers’ Digital Competence Influence Technology Acceptance in Vocational Education? Computers in Human Behavior. 2022;132: 107266. https://doi.org/10.1016/j.chb.2022.107266.
5. Jalinus N, Ganefri, Zaus MA, Wulansari RE, Nabawi RA, Hidayat H. Hybrid and Collaborative Networks Approach: Online Learning Integrated Project and Kolb Learning Style in Mechanical Engineering Courses. International Journal of Online and Biomedical Engineering (iJOE). 2022;18(15): 4–16. https://doi.org/10.3991/ijoe.v18i15.34333.
6. Alamsyah MSM, Widiaty I, Wahyudin D, Barliana MS, Rahmawati Y, Meriawan D, et al. Indonesia TVET Teacher Training: Policy and Implementation to Meet Industry Demands. In: Bünning F, Spöttl G, Stolte H (eds.) Technical and Vocational Teacher Education and Training in International and Development Co-Operation: Models, Approaches and Trends. Singapore: Springer Nature; 2022. p. 183–214. https://doi.org/10.1007/978-981-16-6474-8_12. [Accessed 2nd June 2023].
7. Masril M, Jalinus N, Ridwan, Ambiyar, Sukardi, Irfan D. A Flexible Practicum Model on Education: Hybrid Learning Integrated Remote Laboratory Activity Design. International Journal of Online and Biomedical Engineering (iJOE). 2024;20(10): 4–17. https://doi.org/10.3991/ijoe.v20i10.48031.
8. Yanto DTP, Ganefri G, Sukardi S, Yanto JP, Samala AD, Dewi IP, et al. Innovative Laboratory Learning: A Study Evaluating the Practicality of Integrated E-Worksheets with Augmented Reality in Electrical Machines Course. International Journal of Information and Education Technology. 2024;14(7): 996–1005. https://doi.org/10.18178/ijiet.2024.14.7.2127.
9. Tamrin A, Budiyanto CW, Alimuddin A, Minghat AD. The effectiveness of the use of Google Sites-Based mobile learning to improve 21st-Century Skills of vocational high school students. Data and Metadata. 2024;3: .398-.398. https://doi.org/10.56294/dm2024.398.
10. Davies MJ, Willing L. An examination of teachers’ beliefs about critical thinking in New Zealand high schools. Thinking Skills and Creativity. 2023;48: 101280. https://doi.org/10.1016/j.tsc.2023.101280.
11. Poschauko VC, Kreuzer E, Hirz M, Pacher C. Engineering Education goes Lifelong Learning: Modularized Technical Vocational Education and Training Program for the Automotive Sector. Procedia Computer Science. 2024;232: 1799–1808. https://doi.org/10.1016/j.procs.2024.02.002.
12. Hawkins R, Trucano M, Cobo C, Twinomugisha A, Ciarrusta IS. Reimagining human connections: Technology and innovation in education at the World Bank. DC: World Bank; 2020. https://www.worldbank.org.
13. Global Partnership for Education. Tackling education’s data challenge through partnering with the private sector. GPE Transforming Education. https://www.globalpartnership.org/blog/tackling-educations-data-challenge-through-partnering-private-sector [Accessed 1st January 2025].
14. UNESCO. Issues urgent call for appropriate use of technology in education. UNESCO. https://www.unesco.org/en/articles/unesco-issues-urgent-call-appropriate-use-technology-education [Accessed 1st January 2025].
15. Unicef. Every child has the righ to learn. Unicef/for every child. https://www.unicef.org/education [Accessed 1st January 2025].
16. Anwar M, Rahmawati Y, Yuniarti N, Hidayat H, Sabrina E. Leveraging Augmented Reality to Cultivate Higher-Order Thinking Skills and Enhance Students’ Academic Performance. International Journal of Information and Education Technology. 2024;14(10): 1405–1413. https://doi.org/10.18178/ijiet.2024.14.10.2171.
17. Muslim M, Ambiyar A, Karudin A, Ruslan MSH, Kuo HC, Hidayat N, et al. Augmented clutch reality mobile: innovative educational media for modern engineering. Journal of Theoretical and Applied Information Technology. 2024;102(23): 8603–8616. https://www.jatit.org/volumes/Vol102No23/15Vol102No23.pdf
18. World Economic Forum. Future of jobs: These are the most in-demand skills in 2023 - and beyond. World Economic Forum. https://www.weforum.org/agenda/2023/05/future-of-jobs-2023-skills/ [Accessed 6th September 2024].
19. Mehrtash M, Yuen T, Balan L. Implementation of Experiential Learning for Vehicle Dynamic in Automotive Engineering: Roll-over and Fishhook Test. Procedia Manufacturing. 2019;32: 768–774. https://doi.org/10.1016/j.promfg.2019.02.284.
20. Mustapha R, Hussain MAM. Vocational Education and Training in Malaysia. In: Symaco LP, Hayden M (eds.) International Handbook on Education in South East Asia. Singapore: Springer Nature; 2021. p. 1–28. https://doi.org/10.1007/978-981-16-8136-3_15-1. [Accessed 2nd June 2023].
21. Aldabbus S. Project-based Learning: Implementation & Challenges. International Journal of Education. 2018;6(3): 71–79.
22. Akçayır M, Akçayır G. Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review. 2017;20: 1–11. https://doi.org/10.1016/j.edurev.2016.11.002.
23. Muslim M, Ambiyar, Karudin A. Development of project-based learning models assisted by augmented reality in the automotive engineering department FT-UNP. [Doctoral thesis] [Padang]: Universitas Negeri Padang; 2024.
24. Cohen L, Manion L, Morrison K. Research Methods in Education.. 8th ed. London and New York: Routledge; 2018.
25. James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning: with Applications in R. New York, NY: Springer US; 2021. https://doi.org/10.1007/978-1-0716-1418-1. [Accessed 31st December 2024].
26. Anderson LW, Krathwohl DR. A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Longman; 2001.
27. Arends R. Learning to Teach. McGraw-Hill; 2012.
28. Kuanbayeva B, Shazhdekeyeva N, Zhusupkalieva G, Mukhtarkyzy K, Abildinova G. Investigating the Role of Augmented Reality in Supporting Collaborative Learning in Science Education: A Case Study. International Journal of Engineering Pedagogy (iJEP). 2024;14(1): 149–161. https://doi.org/10.3991/ijep.v14i1.42391.
29. Lin XF, Luo G, Luo S, Liu J, Chan KK, Chen H, et al. Promoting pre-service teachers’ learning performance and perceptions of inclusive education: An augmented reality-based training through learning by design approach. Teaching and Teacher Education. 2024;148: 104661. https://doi.org/10.1016/j.tate.2024.104661.
30. Ismael, Jalinus N, Putra RR. Implementation of Project-Based Learning Computational Thinking Models in Mobile Programming Courses. International Journal of Interactive Mobile Technologies (iJIM). 2024;18(11): 108–120. https://doi.org/10.3991/ijim.v18i11.49097.
31. Anwar M, Hendriyani Y, Zulwisli Z, Hidayat H, Sabrina E. Analyzing the Impact of Augmented Reality on Trait Thinking for Electronics Science Learning in Engineering Education. International Journal of Information and Education Technology. 2024;14(11): 1624–1637. https://doi.org/10.18178/ijiet.2024.14.11.2193.
32. Hakiki M, Fadli R, Sabir A, Prihatmojo A, Hidayah Y, Irwandi. The Impact of Blockchain Technology Effectiveness in Indonesia’s Learning System. International Journal of Online and Biomedical Engineering (iJOE). 2024;20(07): 4–17. https://doi.org/10.3991/ijoe.v20i07.47675.
33. Hoai VTT, Son PN, An DTT, Anh NV. An Investigation into whether Applying Augmented Reality (AR) in Teaching Chemistry Enhances Chemical Cognitive Ability. International Journal of Learning, Teaching and Educational Research. 2024;23(4). https://www.ijlter.org/index.php/ijlter/article/view/10028
34. Khusna NI, Sumarmi, Bachri S, Astina IK, Nurhayati DAW, Shresthai RP. New Technologies for Project-Based Empathy Learning in Merdeka Belajar (Freedom to Learn): The Use of inaRISK Application and Biopore Technology. International Journal of Interactive Mobile Technologies (iJIM). 2022;16(22): 94–110. https://doi.org/10.3991/ijim.v16i22.36153.
35. Abdullah N, Baskaran VL, Mustafa Z, Ali SR, Zaini SH. Augmented Reality: The Effect in Students’ Achievement, Satisfaction and Interest in Science Education. International Journal of Learning, Teaching and Educational Research. 2022;21(5). https://www.ijlter.org/index.php/ijlter/article/view/5292
36. Kalkabayeva Z, Mukasheva M, Zhanasbayeva A. Development of Virtual and Augmented Reality Applications with Realization Project-Based Learning. In: 2023 13th International Conference on Advanced Computer Information Technologies (ACIT). 2023. p. 666–669. https://doi.org/10.1109/ACIT58437.2023.10275421. [Accessed 23rd February 2024].
Published
Issue
Section
License
Copyright (c) 2024 Muslim, Ambiyar, Arwizet Karudin, Muhammad Syafiq Hazwan Ruslan, Hsu-Chan Kuo, Doni Tri Putra Yanto (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
