Relevansi teori teknologi pendidikan dalam menjawab tantangan era industri 4.0 di pendidikan vokasi
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Published: December 31, 2023
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Page: 90-107
Abstract
Revolusi Industri 4.0 membawa transformasi signifikan pada dunia kerja, yang pada gilirannya menuntut adaptasi dalam sistem pendidikan vokasi. Artikel ini bertujuan untuk mengeksplorasi tantangan pedagogis yang dihadapi pendidikan vokasi di era ini dan menganalisis relevansi teori teknologi pendidikan (EdTech) dalam meresponsnya. Melalui tinjauan pustaka sistematis dan analisis konseptual, penelitian ini mengidentifikasi tantangan kunci seperti kebutuhan rapid re-skilling, penyelesaian masalah kompleks, kolaborasi manusia-mesin, literasi data, dan pembelajaran mandiri. Hasil analisis menunjukkan bahwa teori EdTech tradisional seperti Behaviorisme, Kognitivisme, dan Konstruktivisme masih relevan namun tidak memadai jika diterapkan secara tunggal untuk menjawab seluruh kompleksitas tantangan tersebut. Sebaliknya, teori yang lebih baru seperti Konektivisme dan Heutagogy menawarkan pendekatan yang lebih sesuai untuk mendukung pembelajaran seumur hidup dan otonomi siswa. Sebagai novelty, artikel ini mengusulkan sebuah kerangka teoretis hibrid yang mengintegrasikan prinsip-prinsip dari teori lama dan baru untuk menciptakan pendekatan pedagogis yang lebih komprehensif dan adaptif. Implikasinya menekankan pergeseran peran guru menjadi fasilitator dan pentingnya landasan teori yang kuat dalam adopsi teknologi untuk memastikan efektivitas pembelajaran dan kesiapan kerja lulusan vokasi di tengah dinamika Industri 4.0

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- Abdalla, H. (2022). A brief survey on big data: technologies, terminologies and data-intensive applications. https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-022-00659-3
- Acemoğlu, D., Anderson, G., Beede, D., Buffington, C., Childress, E., Dinlersoz, E., Foster, L., Goldschlag, N., Haltiwanger, J., Kroff, Z., Restrepo, P., & Zolas, N. (2023). Advanced Technology Adoption: Selection or Causal Effects?. https://doi.org/10.1257/pandp.20231037
- Agonács, N. & Matos, J. (2019). Heutagogy and self-determined learning: a review of the published literature on the application and implementation of the theory. https://doi.org/10.1080/02680513.2018.1562329
- Almulla, M. (2020). The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning. https://doi.org/10.1177/2158244020938702
- Ariansyah, K., Wismayanti, Y., Savitri, R., Listanto, V., Aswin, A., Ahad, M. P., & Cahyarini, B. (2024). Comparing labor market performance of vocational and general school graduates in Indonesia: insights from stable and crisis conditions. https://ervet-journal.springeropen.com/counter/pdf/10.1186/s40461-024-00160-6
- Balalle, H. (2025). Learning beyond realities: exploring virtual reality, augmented reality, and mixed reality in higher education—a systematic literature review. https://link.springer.com/content/pdf/10.1007/s44217-025-00559-7.pdf
- Bekkum, M., Boer, M., Harmelen, F., Meyer, A., & Teije, A. (2021). Modular design patterns for hybrid learning and reasoning systems. https://link.springer.com/content/pdf/10.1007/s10489-021-02394-3.pdf
- Berger, E., Fehr, E., Hermes, H., Schunk, D., & Winkel, K. (2024). The Impact of Working-Memory Training on Children’s Cognitive and Noncognitive Skills. https://doi.org/10.1086/732884
- Bettiol, M., Capestro, M., Maria, E., & Ganau, R. (2023). Is this time different? How Industry 4.0 affects firms’ labor productivity. https://link.springer.com/content/pdf/10.1007/s11187-023-00825-8.pdf
- Billett, S. (2020). Perspectives on enhancing the standing of vocational education and the occupations it serves. https://www.tandfonline.com/doi/pdf/10.1080/13636820.2020.1749483?needAccess=true
- Bozkurt, A. (2020). Educational Technology Research Patterns in the Realm of the Digital Knowledge Age. https://doi.org/10.5334/jime.570
- Brenner, C. (2022). Self-regulated learning, self-determination theory and teacher candidates’ development of competency-based teaching practices. https://slejournal.springeropen.com/counter/pdf/10.1186/s40561-021-00184-5
- Cai, J. & Kosaka, M. (2024). Conceptualizing Technical and Vocational Education and Training as a Service Through Service-Dominant Logic. https://journals.sagepub.com/doi/pdf/10.1177/21582440241240847
- Chandanani, M., Laidlaw, A., & Brown, C. (2025). Extended reality and computer-based simulation for teaching situational awareness in undergraduate health professions education: a scoping review. https://advancesinsimulation.biomedcentral.com/counter/pdf/10.1186/s41077-025-00343-5
- Consoli, T., Schmitz, M., Antonietti, C., Gonon, P., Cattáneo, A., & Petko, D. (2024). Quality of technology integration matters: Positive associations with students’ behavioral engagement and digital competencies for learning. https://doi.org/10.1007/s10639-024-13118-8
- Cullen, S. & Oppenheimer, D. (2024). Choosing to learn: The importance of student autonomy in higher education. https://www.science.org/doi/pdf/10.1126/sciadv.ado6759?download=true
- Damelang, A. & Otto, M. (2023). Who is Replaced by Robots? Robotization and the Risk of Unemployment for Different Types of Workers. https://journals.sagepub.com/doi/pdf/10.1177/07308884231162953
- Datta, A., Coates, S., Rossiter, A., & Krishnamoorti, R. (2024). Reskilling and Upskilling for Decarbonization: Analyzing Micro-Credential Programs for Energy Workforce Development. https://doi.org/10.1080/07377363.2024.2377777
- Douglas, D. (2025). Researchers’ perceptions of automating scientific research. https://doi.org/10.1007/s00146-025-02190-4
- Dron, J. & Anderson, T. (2023). Pedagogical Paradigms in Open and Distance Education. https://link.springer.com/content/pdf/10.1007/978-981-19-2080-6_9.pdf
- Duan, J., Xie, K., & Zhao, Q. (2024). A personal social knowledge network (PSKN) facilitates learners’ wayfinding and its differences in behavior patterns between high and low performers in connectivist learning. https://doi.org/10.1186/s41239-024-00454-5
- Ehlers, U. (2020). Future Skills. https://link.springer.com/content/pdf/10.1007/978-3-658-29297-3.pdf?pdf=button
- Elahi, M., Afolaranmi, S., Lastra, J. L., & García, J. A. (2023). A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment. https://link.springer.com/content/pdf/10.1007/s44163-023-00089-x.pdf
- Fishbach, A. & Woolley, K. (2021). The Structure of Intrinsic Motivation. https://www.annualreviews.org/doi/pdf/10.1146/annurev-orgpsych-012420-091122
- Frutos‐Belizón, J., García-Carbonell, N., Guerrero-Alba, F., & Sánchez‐Gardey, G. (2024). An empirical analysis of individual and collective determinants of international research collaboration. https://link.springer.com/content/pdf/10.1007/s11192-024-04999-0.pdf
- Gillaspy, E. & Vasilica, C. (2021). Developing the digital self-determined learner through heutagogical design. https://www.tandfonline.com/doi/pdf/10.1080/23752696.2021.1916981?needAccess=true
- Godsk, M. & Møller, K. (2024). Engaging students in higher education with educational technology. https://link.springer.com/content/pdf/10.1007/s10639-024-12901-x.pdf
- Goeritno, A., Prasetiya, Y., Yuhefizar, Y., Muhathir, M., Lestari, S., & Azama, I. (2023). Prototyping an IoT-Platform Embedded Device to Prevent the Failure of the Battery System at the Kedungbadak-Bogor Substation. https://www.iieta.org/download/file/fid/102959
- Gomes, A. & Dias, J. (2024). Digital Divide in the European Union: A Typology of EU Citizens. https://doi.org/10.1007/s11205-024-03452-2
- Guhl, D., Paetz, F., Wagner, U., & Wedel, M. (2024). Predicting and optimizing marketing performance in dynamic markets. https://link.springer.com/content/pdf/10.1007/s00291-024-00755-1.pdf
- Hemmer, P., Schemmer, M., Kühl, N., Vössing, M., & Satzger, G. (2024). Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. https://arxiv.org/pdf/2404.00029
- Hernández, E., Senna, P., Silva, D., Rebelo, R., Barros, A., & Toscano, C. (2019). Implementing RAMI4.0 in Production - A Multi-case Study. https://doi.org/10.1007/978-3-030-29041-2_6
- Hu, F., Zou, X., Hao, H., Hou, P., & Huang, Y. (2024). Research and application of simulation and optimization for CNC machine tool machining process under data semantic model reconstruction. https://doi.org/10.1007/s00170-024-13415-z
- Hummelsheim, S. & Baur, M. (2014). The German dual system of initial vocational education and training and its potential for transfer to Asia. https://doi.org/10.1007/s11125-014-9311-4
- Jamarani, A., Haddadi, S., Sarvizadeh, R., Kashani, M., Akbari, M., & Moradi, S. (2024). Big data and predictive analytics: A systematic review of applications. https://link.springer.com/content/pdf/10.1007/s10462-024-10811-5.pdf
- Jenssen, E. & Haara, F. (2024). High-quality practicum – according to teacher education students on their practicum at partnership schools. https://www.tandfonline.com/doi/pdf/10.1080/02619768.2024.2370892?needAccess=true
- Johnsen, M. M., Sjølie, E., & Johansen, V. (2023). Learning to Collaborate in a Project-based Graduate Course: A Multilevel Study of Student Outcomes. https://link.springer.com/content/pdf/10.1007/s11162-023-09754-7.pdf
- Kee, T., Zhang, H., & King, R. (2023). An empirical study on immersive technology in synchronous hybrid learning in design education. https://link.springer.com/content/pdf/10.1007/s10798-023-09855-5.pdf
- Kim, Y., Kim, D., Choi, J., Park, J., Oh, N., & Park, D. (2024). A survey on integration of large language models with intelligent robots. https://doi.org/10.1007/s11370-024-00550-5
- Knyazev, G. (2023). A Paradigm Shift in Cognitive Sciences?. https://doi.org/10.1007/s11055-023-01483-9
- Kumar, M., Manglani, H., & Jadhav, J. (2024). Unveiling Research Trends on the Sustainable Development Goals: A Systematic Bibliometric Review. https://iieta.org/download/file/fid/130522
- Kumar, S., Tiwari, P., & Zymbler, M. (2019). Internet of Things is a revolutionary approach for future technology enhancement: a review. https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0268-2
- Labadze, L. & Grigolia, M. (2023). Role of AI chatbots in education: systematic literature review. https://doi.org/10.1186/s41239-023-00426-1
- Laskowski, R., Chybowski, L., & Gawdzińska, K. (2015). An Engine Room Simulator as a Tool for Environmental Education of Marine Engineers. https://doi.org/10.1007/978-3-319-16528-8_29
- Lee, S., Chae, J., Jeon, H., Kim, T., Hong, Y., Um, D., Kim, T., & Park, K. (2025). Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems. https://dl.acm.org/doi/pdf/10.1145/3721437
- Leeder, T. (2022). Behaviorism, Skinner, and Operant Conditioning: Considerations for Sport Coaching Practice. https://www.tandfonline.com/doi/pdf/10.1080/08924562.2022.2052776?needAccess=true
- Likovič, A. & Rojko, K. (2022). E-Learning and a Case Study of Coursera and edX Online Platforms. https://sciendo.com/pdf/10.2478/rsc-2022-0008
- Liu, X., Park, J., Hymer, C., & Thatcher, S. M. (2018). Multidimensionality: A Cross-Disciplinary Review and Integration. https://doi.org/10.1177/0149206318807285
- Masrifah, N. & Sudira, P. (2020). Redesign of Vocational Education Curriculum in Industrial Digitalization 4.0. https://doi.org/10.1145/3401861.3401865
- Mella-Norambuena, J., Chiappe, A., & Quintana, M. G. (2024). Theoretical and empirical models underlying the teaching use of LMS platforms in higher education: a systematic review. https://doi.org/10.1007/s40692-024-00336-9
- Michelene, T. & Wylie, R. (2014). The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes. https://doi.org/10.1080/00461520.2014.965823
- Mol, M., Belfi, B., & Bakk, Z. (2024). Unravelling the skills of data scientists: A text mining analysis of Dutch university master programs in data science and artificial intelligence. https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0299327&type=printable
- Mudiyanselage, S., Nguyen, P., Rajabi, M., & Akhavian, R. (2021). Automated Workers’ Ergonomic Risk Assessment in Manual Material Handling Using sEMG Wearable Sensors and Machine Learning. https://www.mdpi.com/2079-9292/10/20/2558/pdf?version=1634728859
- Niu, Q., Liu, J., Bi, Z., Feng, P., Peng, B., Chen, K., & Li, M. (2024). Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges. https://arxiv.org/pdf/2409.02387
- Paramitasari, N., Khoirunurrofik, K., Mahi, B., & Hartono, D. (2024). Charting vocational education: impact of agglomeration economies on job–education mismatch in Indonesia. https://doi.org/10.1007/s41685-024-00333-x
- Purohit, M., Svitkina, Z., & Kumar, R. (2024). Improving Online Algorithms via ML Predictions. https://arxiv.org/pdf/2407.17712
- Ravasi, D., Zhu, J., Wan, W., Dorobantu, S., & Gruber, M. (2024). What Makes Research Collaborations Successful? Advice from AMJ Authors. https://doi.org/10.5465/amj.2024.4003
- Rawat, D., alami, H., & Hagos, D. (2024). Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. https://arxiv.org/pdf/2405.04718
- Rijwani, T., Kumari, S., Srinivas, R., Abhishek, K., Iyer, G., Vara, H., Dubey, S., Revathi, V., & Gupta, M. (2024). Industry 5.0: a review of emerging trends and transformative technologies in the next industrial revolution. https://doi.org/10.1007/s12008-024-01943-7
- Rudolph, M., Kurz, S., & Rakitsch, B. (2024). Hybrid modeling design patterns. https://mathematicsinindustry.springeropen.com/counter/pdf/10.1186/s13362-024-00141-0
- Sasaki, H. (2022). Special feature: economic dynamics—growth, capital, labor, technology, and money. https://link.springer.com/content/pdf/10.1007/s40844-022-00241-9.pdf
- Sauer, P. & Seuring, S. (2023). How to conduct systematic literature reviews in management research: a guide in 6 steps and 14 decisions. https://link.springer.com/content/pdf/10.1007/s11846-023-00668-3.pdf
- Shih, C., Chou, J., Reijers, N., & Kuo, T. (2016). Designing CPS/IoT applications for smart buildings and cities. https://doi.org/10.1049/iet-cps.2016.0025
- Siam, M. S., Ahn, H., Liu, L., Alam, S., Shen, H., Cao, Z., Shroff, N., Krishnamachari, B., Srivastava, M., & Zhang, M. (2024). Artificial Intelligence of Things: A Survey. https://dl.acm.org/doi/pdf/10.1145/3690639
- Subiyantoro, H., Tarziraf, A., & Asmara, A. (2023). The Role of Vocational Education as the Key to Economic Development in Indonesia. http://eudl.eu/pdf/10.4108/eai.28-10-2023.2341745
- Sui-Ni, N. (2023). Peran Pemerintah Pusat dan Daerah dalam Menyediakan Pendidikan Dasar Bermutu untuk Mewujudkan Visi Indonesia 2045. https://arxiv.org/pdf/2302.12837
- Suleiman, Z., Shaikholla, S., Dikhanbayeva, D., Shehab, E., & Türkyılmaz, A. (2022). Industry 4.0: Clustering of concepts and characteristics. https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2034264?needAccess=true
- Szukits, Á. & Móricz, P. (2023). Towards data-driven decision making: the role of analytical culture and centralization efforts. https://link.springer.com/content/pdf/10.1007/s11846-023-00694-1.pdf
- Tong, D., Wu, L., & Evans, J. (2021). Low-skilled Occupations Face the Highest Upskilling Pressure. https://arxiv.org/pdf/2101.11505
- Tour, E. (2016). Teachers' personal learning networks (PLNs): exploring the nature of self‐initiated professional learning online. https://doi.org/10.1111/lit.12101
- Tynchenko, Y., Gantimurov, A., Кукарцев, В., Gladkov, A., & Бородулин, А. (2024). Data Analysis Methods: Comparative Review and Selection of the Best Approach. https://doi.org/10.1007/978-3-031-70595-3_18
- Vogel, O. & Hunecke, M. (2023). Fostering knowledge integration through individual competencies: the impacts of perspective taking, reflexivity, analogical reasoning and tolerance of ambiguity and uncertainty. https://link.springer.com/content/pdf/10.1007/s11251-023-09653-5.pdf
- Widayati, A., MacCallum, J., & Woods‐McConney, A. (2021). Teachers’ perceptions of continuing professional development: a study of vocational high school teachers in Indonesia. https://www.tandfonline.com/doi/pdf/10.1080/13664530.2021.1933159?needAccess=true
- Wijnia, L., Noordzij, G., Arends, L., Rikers, R. M. J., & Loyens, S. M. (2024). The Effects of Problem-Based, Project-Based, and Case-Based Learning on Students’ Motivation: a Meta-Analysis. https://link.springer.com/content/pdf/10.1007/s10648-024-09864-3.pdf
- Xu, Y. & Xu, R. (2022). Research on Interpolation and Data Fitting: Basis and Applications. https://arxiv.org/pdf/2208.11825
- Xue, Y., Rehman, S., Altalbe, A., Rehman, E., & Shahiman, M. (2024). Digital literacy as a catalyst for academic confidence: exploring the interplay between academic self-efficacy and academic procrastination among medical students. https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-024-06329-7
- Yang, F. & Gu, S. (2021). Industry 4.0, a revolution that requires technology and national strategies. https://link.springer.com/content/pdf/10.1007/s40747-020-00267-9.pdf
- Yang, C., Zhang, J., Hu, Y., Yang, X., Chen, M., Shan, M., & Li, L. (2024). The impact of virtual reality on practical skills for students in science and engineering education: a meta-analysis. https://stemeducationjournal.springeropen.com/counter/pdf/10.1186/s40594-024-00487-2
- Yao, D. & Lin, J. (2025). Cognitive enhancement through competency-based programming education: a 12-year longitudinal study. https://link.springer.com/content/pdf/10.1007/s10639-025-13582-w.pdf
- Ying, W., Xu, Z., Lou, J., & Chen, K. (2023). Factors influencing the complex problem-solving skills in reflective learning: results from partial least square structural equation modeling and fuzzy set qualitative comparative analysis. https://bmcmededuc.biomedcentral.com/counter/pdf/10.1186/s12909-023-04326-w
- Yu, T., Yan, X., & Jin, Y. (2024). Vocational Education in China. https://doi.org/10.1007/978-981-97-7415-9_8
- Zheng, D., Du, L., Su, J., Tian, Y., Zhu, Y., Zhang, J., Lei, W., Zhang, N., & Chen, H. (2025). Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey. https://arxiv.org/pdf/2505.03418.