Transformasi Peran Guru Di Era Kecerdasan Virtual Melalui Pembelajaran Inovatif
Keywords:
kecerdasan virtual, pendidikan vokasional, pembelajaran inovatif, transformasi peran guru, literasi digitalAbstract
Perkembangan kecerdasan virtual dan teknologi adaptif telah mendorong transformasi fundamental dalam pendidikan vokasional, terutama pada pergeseran peran guru yang semakin berhadapan dengan sistem otomatis dan pembelajaran berbasis kecerdasan buatan. Kajian ini bertujuan menganalisis bagaimana strategi pembelajaran inovatif mampu mempertahankan dan mentransformasi peran guru vokasional di tengah kehadiran teknologi cerdas yang kian dominan. Penelitian menggunakan pendekatan Systematic Literature Review terhadap 26 artikel yang dipublikasikan pada rentang 2015–2025 dan diperkaya dengan analisis bibliometrik menggunakan VOSviewer serta grounded coding melalui open, axial, dan selective coding. Hasil kajian menunjukkan bahwa strategi seperti flipped classroom, adaptive instruction, project-based learning, digital storytelling, dan pembelajaran berbasis personalisasi AI dapat meningkatkan keterlibatan belajar, memperluas pengalaman belajar, dan menguatkan kembali posisi guru sebagai perancang pengalaman belajar, fasilitator nilai, serta mediator teknologi. Temuan juga menegaskan bahwa kompetensi digital, literasi pedagogi berbasis teknologi industri 4.0, dan kesiapan emosional guru merupakan prasyarat utama dalam menghadapi tantangan teknostres dan ambiguitas persepsi terhadap AI. Kajian ini menutup celah riset sebelumnya yang masih terfragmentasi dengan menghadirkan narasi konseptual yang integratif mengenai hubungan antara inovasi pembelajaran, kompetensi digital, dan reposisi peran guru dalam ekosistem pembelajaran yang terdorong kecerdasan virtual. Hasil penelitian memberikan kontribusi konseptual dan praktis bagi desain kurikulum vokasional serta pengembangan kebijakan pelatihan guru yang responsif terhadap dinamika era kecerdasan virtual
Downloads
References
Alarfaj, A., & Alrashidi, M. (2025). Revolutionizing gifted education: enhancing teachers’ digital competence through fourth industrial revolution training. Discover Sustainability, 6(1), 159. https://doi.org/10.1007/s43621-025-00946-y
Chou, C.-M., Shen, T.-C., Shen, T.-C., & Shen, C.-H. (2023a). The level of perceived efficacy from teachers to access AI-based teaching applications. Research and Practice in Technology Enhanced Learning, 18. https://doi.org/10.58459/rptel.2023.18021
Chou, C.-M., Shen, T.-C., Shen, T.-C., & Shen, C.-H. (2023b). The level of perceived efficacy from teachers to access AI-based teaching applications. In Research and Practice in Technology Enhanced Learning (Vol. 18). http://creativecommons.org/licenses/by/4.0/.
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Fowlin, J., Coleman, D., Ryan, S., Gallo, C., Soares, E., & Hazelton, N. (2025). Empowering Educators: Operationalizing Age-Old Learning Principles Using AI. Education Sciences, 15(3). https://doi.org/10.3390/educsci15030393
Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews, 18(2), e1230. https://doi.org/https://doi.org/10.1002/cl2.1230
Hanifah, D. N. R., Sumarwati, S., & Suhita, R. (2024). Indonesian Junior High School Students’ Perceptions of Using Digital Storytelling Media in Learning to Write Fantasy Stories. International Journal of Learning, Teaching and Educational Research, 23(10), 564–582. https://doi.org/10.26803/ijlter.23.10.27
Hassan, R. H., Hassan, M. T., Naseer, S., Khan, Z., & Jeon, M. (2021). ICT Enabled TVET Education: A Systematic Literature Review. IEEE Access, 9, 81624–81650. https://doi.org/10.1109/ACCESS.2021.3085910
Hutahaean, B., Telaumbanua, S., Tamba, L., Hutabarat, R. G. N., & Sumani, S. (2024). Analysis of Innovative and Adaptive Higher Education Curriculum Development to Education 5.0 Based Challenges in Indonesia. International Journal of Learning Teaching and Educational Research, 23(4), 76–98. https://doi.org/10.26803/ijlter.23.4.5
Lamb, R., & Firestone, J. (2022). The moderating role of creativity and the effect of virtual reality on stress and cognitive demand during preservice teacher learning. Computers & Education: X Reality, 1, 100003. https://doi.org/10.1016/j.cexr.2022.100003
Li, S., Lim, C. Y., & Ang, S. L. (2024). An Analysis of Technostress Factors Among Teachers in Hunan, China Through Statistical Methods and K-means Clustering. TEM Journal, 13(4), 3231–3240. https://doi.org/10.18421/TEM134-57
Linnes, C., Ronzoni, G., Agrusa, J., & Lema, J. (2022). Emergency Remote Education and Its Impact on Higher Education: A Temporary or Permanent Shift in Instruction? Education Sciences, 12(10), 721. https://doi.org/10.3390/educsci12100721
Luckin, R., & Holmes, W. (2016). Intelligence Unleashed: An argument for AI in Education. UCL Knowledge Lab. https://discovery.ucl.ac.uk/id/eprint/1475756
Mayasari, N., Dеwantara, R. Y., & Yuanti, Y. (2023). Pengaruh Kecerdasan Buatan Dan Teknologi Pendidikan Terhadap Peningkatan Efektivitas Proses Pembelajaran Mahasiswa Di Jawa Timur. Jurnal Pendidikan West Science, 1(12). https://doi.org/10.58812/jpdws.v1i12.863
Nally, D. (2024). A democratic curriculum for the challenges of post-truth. Curriculum Perspectives, 44(2), 229–245. https://doi.org/10.1007/s41297-024-00228-z
OECD. (2021). OECD Digital Education Outlook 2021. OECD Publishing. https://doi.org/10.1787/589b283f-en
Ouyang, F., Dai, X., & Chen, S. (2022). Applying multimodal learning analytics to examine the immediate and delayed effects of instructor scaffoldings on small groups’ collaborative programming. International Journal of STEM Education, 9(1), 45. https://doi.org/10.1186/s40594-022-00361-z
Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717
Raveica, I. C., Olaru, I., Herghelegiu, E., Tampu, N. C., Radu, M.-C., Chirita, B. A., Schnakovszky, C., & Ciubotariu, V. A. (2024). The Impact of Digitalization on Industrial Engineering Students’ Training from the Perspective of Their Insertion in the Labor Market in a Sustainable Economy: A Students’ Opinions Survey. Sustainability, 16(17), 7499. https://doi.org/10.3390/su16177499
Rudolph, C., Ismail, J., & Popenici, M. F. (2024). Higher Education’s Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania. In Journal of University Teaching and Learning Practice (Issue 6).
Solihah, P. A., Kaniawati, I., Samsudin, A., & Riandi, R. (2023). Prototype of Greenhouse Effect for Improving Problem-Solving Skills in Science, Technology, Engineering, and Mathematics (STEM)-Education for Sustainable Development (ESD): Literature Review, Bibliometric, and Experiment. Indonesian Journal of Science and Technology, 9(1), 163–190. https://doi.org/10.17509/ijost.v9i1.66773
Zhang, X., Qian, W., & Chen, C. (2024). The effect of digital technology usage on higher vocational student satisfaction: the mediating role of learning experience and learning engagement. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1508119
Zhao, Y., & Ko, J. (2024). Orchestrating vocational education classrooms for adaptive instruction and collaborative learning. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2351238
Zuhri, R. S., Wilujeng, I., Haryanto, H., & Ibda, H. (2024). Information communication technologies education in elementary school: a systematic literature review. Journal of Education and Learning (EduLearn), 18(3), 1070–1082. https://doi.org/10.11591/edulearn.v18i3.21435
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629