Smart Teaching Factory: Integrating Extended Reality, Artificial Intelligence, and Animated Simulations for Transformative Vocational Education
DOI:
https://doi.org/10.56294/saludcyt20251769Keywords:
Smart Teaching Factory, Integrating Extended Reality, Artificial Intelligence, Animated Simulation, Vocational Education, Learning Analytics, UsabilityAbstract
This study presents the design, implementation, and validation of the Smart Teaching Factory (STF) framework, which integrates Extended Reality (XR), Artificial Intelligence (AI), and animated simulation technologies to enhance vocational education. Targeting 62 electronics engineering students and 6 vocational instructors across three Indonesian public vocational schools, this quasi-experimental mixed-methods study compared the effects of STF-enhanced instruction with conventional methods. Quantitative results from pre- and post-tests revealed significant improvements in student learning outcomes (p < 0.01), while SUS usability scores reached 82.5, indicating excellent system acceptance. Interaction analytics from platform logs and classroom observations highlighted elevated student focus, collaboration, and task engagement in the experimental group. The STF model proved effective in delivering competency-based, immersive learning experiences through a data-informed, user-centered platform. These findings demonstrate STF's potential as a scalable, adaptable framework for transforming vocational education in resource-constrained environments.
References
1. Mckee S, Gauch D, Mckee S, Gauch · D, Gauch D. Implications of Industry 4.0 on Skills Development. Education in the Asia-Pacific Region [Internet]. 2020 [cited 2025 May 29];55:279–88. Available from: https://link.springer.com/chapter/10.1007/978-981-15-7018-6_34
2. Roll M, Ifenthaler D. Learning Factories 4.0 in technical vocational schools: can they foster competence development? Empirical Research in Vocational Education and Training [Internet]. 2021 Dec 1 [cited 2025 May 29];13(1):1–23. Available from: https://ervet-journal.springeropen.com/articles/10.1186/s40461-021-00124-0
3. Rikala P, Braun G, Järvinen M, Stahre J, Hämäläinen R. Understanding and measuring skill gaps in Industry 4.0 — A review. Technol Forecast Soc Change [Internet]. 2024 Apr 1 [cited 2025 May 29];201:123206. Available from: https://www.sciencedirect.com/science/article/pii/S0040162524000027
4. Haleem A, Javaid M, Singh RP. Perspective of leadership 4.0 in the era of fourth industrial revolution: A comprehensive view. Journal of Industrial Safety [Internet]. 2024 Jun 1 [cited 2025 May 29];1(1):100006. Available from: https://www.sciencedirect.com/science/article/pii/S2950276424000060
5. Ika Sari G, Winasis S, Pratiwi I, Wildan Nuryanto U, Basrowi. Strengthening digital literacy in Indonesia: Collaboration, innovation, and sustainability education. Social Sciences & Humanities Open [Internet]. 2024 Jan 1 [cited 2025 May 29];10:101100. Available from: https://www.sciencedirect.com/science/article/pii/S2590291124002973
6. Fernández-Batanero JM, Montenegro-Rueda M, Fernández-Cerero J, Tadeu P. Online education in higher education: emerging solutions in crisis times. Heliyon. 2022 Aug 1;8(8):e10139.
7. Xiong J, Hsiang EL, He Z, Zhan T, Wu ST. Augmented reality and virtual reality displays: emerging technologies and future perspectives. Light: Science & Applications 2021 10:1 [Internet]. 2021 Oct 25 [cited 2023 Jun 14];10(1):1–30. Available from: https://www.nature.com/articles/s41377-021-00658-8
8. Samala AD, Rawas S, Criollo-C S, Bojic L, Prasetya F, Ranuharja F, et al. Emerging Technologies for Global Education: A Comprehensive Exploration of Trends, Innovations, Challenges, and Future Horizons. SN Computer Science 2024 5:8 [Internet]. 2024 Dec 15 [cited 2024 Dec 16];5(8):1–24. Available from: https://link.springer.com/article/10.1007/s42979-024-03538-1
9. Zajda J. Constructivist Learning Theory and Creating Effective Learning Environments. 2021 [cited 2025 May 29];35–50. Available from: https://link.springer.com/chapter/10.1007/978-3-030-71575-5_3
10. Sweller J. Cognitive Load Theory. Psychology of Learning and Motivation - Advances in Research and Theory [Internet]. 2011 Jan 1 [cited 2025 May 29];55:37–76. Available from: https://www.sciencedirect.com/science/article/abs/pii/B9780123876911000028
11. Petko D, Mishra P, Koehler MJ. TPACK in context: An updated model. Computers and Education Open [Internet]. 2025 Jun 1 [cited 2025 May 29];8:100244. Available from: https://www.sciencedirect.com/science/article/pii/S2666557325000035
12. Koehler MJ, Mishra P, Kereluik K, Shin TS, Graham CR. The technological pedagogical content knowledge framework. Handbook of Research on Educational Communications and Technology: Fourth Edition [Internet]. 2014 Jan 1 [cited 2025 May 29];101–11. Available from: https://asu.elsevierpure.com/en/publications/the-technological-pedagogical-content-knowledge-framework
13. Vichare P, Aresh B, Cano M, Gilardi M. Integrating Extended Reality in undergraduate engineering programmes: operational feasibility and descriptive analysis of student perspectives. Cogent Education [Internet]. 2024 Dec 31 [cited 2025 May 29];11(1). Available from: https://www.tandfonline.com/doi/pdf/10.1080/2331186X.2024.2425227
14. Sakr A, Abdullah T. Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review. Education and Information Technologies 2024 29:15 [Internet]. 2024 Apr 5 [cited 2025 May 29];29(15):19913–62. Available from: https://link.springer.com/article/10.1007/s10639-024-12602-5
15. Pinto D, Peixoto B, Krassmann A, Melo M, Cabral L, Bessa M. Virtual Reality in Education: Learning a Foreign Language. Advances in Intelligent Systems and Computing [Internet]. 2019 [cited 2025 May 29];932:589–97. Available from: https://link.springer.com/chapter/10.1007/978-3-030-16187-3_57
16. Ibarra Kwick JM, Hernández-Uribe Ó, Cárdenas-Robledo LA, Luque-Morales RA. Extended Reality Applications for CNC Machine Training: A Systematic Review. Multimodal Technologies and Interaction 2024, Vol 8, Page 80 [Internet]. 2024 Sep 11 [cited 2025 May 29];8(9):80. Available from: https://www.mdpi.com/2414-4088/8/9/80/htm
17. Huang AYQ, Lu OHT, Yang SJH. Effects of artificial Intelligence–Enabled personalized recommendations on learners’ learning engagement, motivation, and outcomes in a flipped classroom. Comput Educ [Internet]. 2023 Mar 1 [cited 2025 May 29];194:104684. Available from: https://www.sciencedirect.com/science/article/pii/S036013152200255X
18. Carra E, Santoni C, Pellacini F. Grammar-based procedural animations for motion graphics. Comput Graph [Internet]. 2019 Feb 1 [cited 2025 May 29];78:97–107. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0097849318301924
19. Samala AD, Ranuharja F, Fajri BR, Indarta Y, Agustiarmi W. ViCT-Virtual Campus Tour Environment with Spherical Panorama: A Preliminary Exploration. International Journal of Interactive Mobile Technologies. 2022;16(16).
20. Gedrimiene E, Silvola A, Pursiainen J, Rusanen J, Muukkonen H. Learning Analytics in Education: Literature Review and Case Examples From Vocational Education. Scandinavian Journal of Educational Research [Internet]. 2020 Nov 9 [cited 2025 May 29];64(7):1105–19. Available from: https://www.tandfonline.com/doi/abs/10.1080/00313831.2019.1649718
21. Samala AD, Mhlanga D, Bojic L, Howard NJ, Coelho DP. Blockchain Technology in Education: Opportunities, Challenges, and Beyond. International Journal of Interactive Mobile Technologies (iJIM) [Internet]. 2024 Jan 12 [cited 2024 May 27];18(01):20–42. Available from: https://online-journals.org/index.php/i-jim/article/view/46307
22. Samala AD, Rawas S. Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality. International Journal of Online and Biomedical Engineering (iJOE) [Internet]. 2024 Mar 15 [cited 2024 Mar 22];20(05):174–87. Available from: https://online-journals.org/index.php/i-joe/article/view/45937
23. Samala AD, Govender T, Tsoy D, Bojic L, Samala AG, Samala MP, et al. 3D Visualizations in Learning: An Evaluation of an AR Core Application for Computer Hardware Education using the Hedonic Motivation System Adoption Model. TEM Journal [Internet]. 2024 Feb 27 [cited 2024 Aug 30];13(1):466–75. Available from: https://papers.ssrn.com/abstract=4746502
24. Muskhir M, Luthfi A, Watrianthos R, Usmeldi, Fortuna A, Samala AD. emerging research on virtual reality applications in vocational education: A bibliometric analysis. Journal of Information Technology Education: Innovations in Practice. 2024;23:1–26.
25. Samala AD, Rawas S, Wang T, Reed JM, Kim J, Howard NJ, et al. Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects. Educ Inf Technol (Dordr). 2024;
26. Xu Y, Mao D, Wang C. XR Technologies in vocational education and training research (2000-2024): A Bibliometric Review. Proceedings of the 2024 the 16th International Conference on Education Technology and Computers, ICETC 2024 [Internet]. 2025 Jan 21 [cited 2025 May 29];76–83. Available from: /doi/pdf/10.1145/3702163.3702174?download=true
27. Zhang J, Ong SK, Nee AYC. A multi-regional computation scheme in an AR-assisted in situ CNC simulation environment. Computer-Aided Design [Internet]. 2010 Dec 1 [cited 2025 May 29];42(12):1167–77. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0010448510001442
28. El Hammoumi S, Zerhane R, Janati Idrissi R. The impact of using interactive animation in biology education at Moroccan Universities and students’ attitudes towards animation and ICT in general. Social Sciences & Humanities Open [Internet]. 2022 Jan 1 [cited 2025 May 29];6(1):100293. Available from: https://www.sciencedirect.com/science/article/pii/S259029112200047X
29. Fang N. Using Computer Simulation and Animation to Improve Student Learning of Engineering Dynamics. Procedia Soc Behav Sci [Internet]. 2012 Oct 8 [cited 2025 May 29];56:504–12. Available from: https://www.sciencedirect.com/science/article/pii/S1877042812041444
30. Paolucci C, Vancini S, Bex RT, Cavanaugh C, Salama C, de Araujo Z. A review of learning analytics opportunities and challenges for K-12 education. Heliyon [Internet]. 2024 Feb 29 [cited 2025 May 29];10(4):e25767. Available from: https://www.sciencedirect.com/science/article/pii/S2405844024017985
31. Ma M, Jain LC, Anderson P. Future Trends of Virtual, Augmented Reality, and Games for Health. In: Ma M, Jain LC, Anderson P, editors. Virtual, Augmented Reality and Serious Games for Healthcare 1 [Internet]. Berlin, Heidelberg: Springer Berlin Heidelberg; 2014. p. 1–6. Available from: https://doi.org/10.1007/978-3-642-54816-1_1
32. McMillan K, Flood K, Glaeser R. Virtual reality, augmented reality, mixed reality, and the marine conservation movement. Aquat Conserv. 2017;27:162–8.
33. Jiang H, Zhu D, Chugh R, Turnbull D, Jin W. Virtual reality and augmented reality-supported K-12 STEM learning: trends, advantages and challenges. Education and Information Technologies 2024 [Internet]. 2025 Jan 16 [cited 2025 Apr 17];1–37. Available from: https://link.springer.com/article/10.1007/s10639-024-13210-z
34. Spector JM. Conceptualizing the emerging field of smart learning environments. Smart Learning Environments [Internet]. 2014 Dec 1 [cited 2023 Jul 13];1(1):1–10. Available from: https://slejournal.springeropen.com/articles/10.1186/s40561-014-0002-7
35. Hartley J. The effect of pre-testing on post-test performance. Instr Sci [Internet]. 1973 Aug [cited 2025 May 29];2(2):193–214. Available from: https://link.springer.com/article/10.1007/BF00139871
36. Martins AI, Rosa AF, Queirós A, Silva A, Rocha NP. European Portuguese Validation of the System Usability Scale (SUS). Procedia Comput Sci [Internet]. 2015 Jan 1 [cited 2025 May 29];67:293–300. Available from: https://www.sciencedirect.com/science/article/pii/S1877050915031191
37. Panadero E, Jonsson A. A critical review of the arguments against the use of rubrics. Educ Res Rev [Internet]. 2020 Jun 1 [cited 2025 May 29];30:100329. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1747938X19303732
38. Shipman D, Roa M, Hooten J, Wang ZJ. Using the analytic rubric as an evaluation tool in nursing education: The positive and the negative. Nurse Educ Today [Internet]. 2012 Apr [cited 2025 May 29];32(3):246–9. Available from: https://pubmed.ncbi.nlm.nih.gov/21571406/
39. Ross A, Willson VL. Independent Samples T-Test. Basic and Advanced Statistical Tests [Internet]. 2017 [cited 2025 May 29];13–6. Available from: https://link.springer.com/chapter/10.1007/978-94-6351-086-8_3
40. Ross A, Willson VL. Paired Samples T-Test. Basic and Advanced Statistical Tests [Internet]. 2017 [cited 2025 May 29];17–9. Available from: https://link.springer.com/chapter/10.1007/978-94-6351-086-8_4
41. Ahmed SK, Mohammed RA, Nashwan AJ, Ibrahim RH, Abdalla AQ, M. Ameen BM, et al. Using thematic analysis in qualitative research. Journal of Medicine, Surgery, and Public Health [Internet]. 2025 Aug 1 [cited 2025 May 29];6:100198. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2949916X25000222
42. Martin-Alguacil N, Avedillo L, Mota-Blanco R, Gallego-Agundez M. Student-Centered Learning: Some Issues and Recommendations for Its Implementation in a Traditional Curriculum Setting in Health Sciences. Education Sciences 2024, Vol 14, Page 1179 [Internet]. 2024 Oct 29 [cited 2025 May 29];14(11):1179. Available from: https://www.mdpi.com/2227-7102/14/11/1179/htm
43. Lin TJ, Buckley J, Gumaelius L, Ampadu E. Locating the potential development of spatial ability in the Swedish national curriculum. Heliyon [Internet]. 2024 Oct 15 [cited 2025 May 29];10(19):e38356. Available from: https://www.sciencedirect.com/science/article/pii/S2405844024143873
44. Ishikawa T, Newcombe NS. Why spatial is special in education, learning, and everyday activities. Cogn Res Princ Implic [Internet]. 2021 Dec 1 [cited 2025 May 29];6(1):1–5. Available from: https://cognitiveresearchjournal.springeropen.com/articles/10.1186/s41235-021-00274-5
45. Lee YC. Changes in Learning Outcomes of Students Participating in Problem-Based Learning for the First Time: A Case Study of a Financial Management Course. Asia-Pacific Education Researcher [Internet]. 2024 Feb 1 [cited 2025 May 29];34(1):511–30. Available from: https://link.springer.com/article/10.1007/s40299-024-00873-y
46. Baig MI, Yadegaridehkordi E. Flipped classroom in higher education: a systematic literature review and research challenges. International Journal of Educational Technology in Higher Education [Internet]. 2023 Dec 1 [cited 2025 May 29];20(1):1–26. Available from: https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00430-5
47. Lockey A, Conaghan P, Bland A, Astin F. Educational theory and its application to advanced life support courses: a narrative review. Resusc Plus [Internet]. 2021 Mar 1 [cited 2025 May 29];5:100053. Available from: https://www.sciencedirect.com/science/article/pii/S2666520420300540
48. Bhoyrub J, Hurley J, Neilson GR, Ramsay M, Smith M. Heutagogy: An alternative practice based learning approach. Nurse Educ Pract [Internet]. 2010 Nov 1 [cited 2025 May 29];10(6):322–6. Available from: https://www.sciencedirect.com/science/article/abs/pii/S1471595310000806
49. Apostolidou A. Digitally situated knowledge: Connectivism, anthropology and epistemological pluralism. Int J Educ Res [Internet]. 2022 Jan 1 [cited 2025 May 29];115:102047. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0883035522001239
50. Corbett F, Spinello E. Connectivism and leadership: harnessing a learning theory for the digital age to redefine leadership in the twenty-first century. Heliyon [Internet]. 2020 Jan 1 [cited 2025 May 29];6(1):e03250. Available from: https://www.sciencedirect.com/science/article/pii/S2405844020300955
51. Kamaruzaman FM, Hamid R, Mutalib AA, Rasul MS. Skills gap analysis: Satisfaction and expectation of engineering educators in Malaysia. Int J Recent Technol Eng. 2019 Jul;8(2S):447–54.
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Copyright (c) 2025 Bayu Ramadhani Fajri, Fathiyah Mohd Kamaruzaman, Marlissa Omar, Wiki Lofandri, Agariadne Dwinggo Samala (Author)
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