Peningkatan Kompetensi Professional Guru di Era Digital Melalui Pengembangan Pelatihan Berbasis Artificial Intelligence dan Blended Learning
DOI:
https://doi.org/10.58192/wawasan.v3i2.3054Keywords:
Artificial Intelligence, Blended Learning, Digital Education, Professional Competence, Teacher TrainingAbstract
This research aims to develop a training model based on Artificial Intelligence (AI) and blended learning to improve the professional competence of elementary school (SD) teachers in the digital era. This research uses the Research and Development (R&D) method with the Borg & Gall approach which involves ten systematic stages. The results of the study show that AI-based training models and blended learning are able to provide adaptive, personalized, and based on the real needs of teachers in the field. The evaluation of the effectiveness of this training model shows an increase in teachers' professional competence in integrating technology in learning. This research makes an important contribution to the development of technology-based teacher training policies in Indonesia.
References
Ananda, C., & Rakhmawati. (2022). Analisis infrastruktur teknologi, pelatihan pengajar dan tantangan dalam implementasi model pembelajaran literasi digital untuk mendukung SDGs 2030. Jurnal Sadewa, 2(2), 217–230. https://doi.org/10.xxxx/sadewa.2022.2.217
Awaluddin, M. (2024). Peningkatan learning engagement pada pelatihan berbasis kompetensi melalui platform pembelajaran online dan artificial intelligence (AI) di BBPK Makassar. Jurnal Transformasi Pendidikan dan Pelatihan, 10(1), 1–5.
Brandão, A., Pedro, L., & Zagalo, N. (2024). Teacher professional development for a future with generative artificial intelligence – an integrative literature review. Digital Education Review, (45), 151–157. https://doi.org/10.1344/der.2024.45.151-157
Cukurova, M., Kralj, L., Hertz, B., & Saltidou, E. (2024). Professional development for teachers in the age of AI. European Schoolnet. https://doi.org/10.1000/exampleDOI
Gall, M. D., Gall, J. P., & Borg, W. R. (2019). Applying educational research: How to read, do, and use research to solve problems of practice. Pearson.
Gall, M. D., Gall, J. P., & Borg, W. R. (2019). Applying educational research: How to read, do, and use research to solve problems of practice. Pearson.
Gavrilenko, N. N. (2024). Quantitative study of mix-mode pedagogical designs in advancing EFL comprehension. The Lingua Spectrum, 2(1), 30–34. Retrieved from https://lingvospektr.uz/index.php/lngsp/article/view/200
Gustiani, S. (2019). Research and development (R&D) method as a model design in educational research and its alternatives. Holistics Journal, 11(2), 12–22.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. Retrieved from https://curriculumredesign.org/wp-content/uploads/AI-in-Education.pdf
Iyamuremye, A., Niyonzima, F. N., Mukiza, J., Twagilimana, I., Nyirahabimana, P., Nsengimana, T., Habiyaremye, J. D., Habimana, O., & Nsabayezu, E. (2024). Utilization of artificial intelligence and machine learning in chemistry education: A critical review. Discover Education, 3(95), 1–20. https://doi.org/10.1007/s44217-024-00197-5
Kabatiah, M., Batubara, A., Ramadhan, T., Rachman, F., & Tanjung, P. A. (2024). Digital design of teaching materials in microteaching courses by implementing Borg and Gall method. ICIESC Proceedings. https://doi.org/10.4108/eai.24-10-2023.2342188
Lalima, & Dangwal, K. L. (2017). Blended learning: An innovative approach. Universal Journal of Educational Research, 5(1), 129–136. https://doi.org/10.13189/ujer.2017.050116
Lust, G., Juarez Collazo, N. A., Elen, J., & Clarebout, G. (2012). Content management systems: Enriched learning opportunities for all? Computers in Human Behavior, 28(4), 795–808. https://doi.org/10.1016/j.chb.2011.12.009
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47. https://doi.org/10.1016/j.compedu.2012.12.007
Mejeh, M., & Rehm, M. (2024). Taking adaptive learning in educational settings to the next level: Leveraging natural language processing for improved personalization. Education Tech Research Dev, 72, 1597–1621. https://doi.org/10.1007/s11423-024-10345-1
Park, Y., & Doo, M. Y. (2024). Role of AI in blended learning: A systematic literature review. International Review of Research in Open and Distributed Learning, 25(1), 165–182. https://doi.org/10.xxxx/roleofai2024
Peraturan Menteri Pendidikan Nasional Republik Indonesia Nomor 16 Tahun 2007 tentang Standar Kualifikasi Akademik dan Kompetensi Guru.
Peraturan Pemerintah Republik Indonesia Nomor 74 Tahun 2008 tentang Guru.
Piña, A. A. (2012). An overview of learning management systems. IGI Global. https://doi.org/10.4018/978-1-4666-0011-9.ch1.3
Syifa, S. N., Az-Zahra, A. M., & Rachman, I. F. (2024). Analisis infrastruktur teknologi, pelatihan pengajar dan tantangan dalam implementasi model pembelajaran literasi digital untuk mendukung SDGs 2030. Jurnal Sadewa: Publikasi Ilmu Pendidikan, Pembelajaran dan Ilmu Sosial, 2(2), 212–224. https://doi.org/10.61132/sadewa.v2i2.765
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wijoyo, H., Junita, A., Sunarsi, D., Kristianti, L. S., Santamoko, R., Handoko, A. L., Yonata, H., & Widiyanti. (2020). Blended learning: Suatu panduan. Insan Cendekia Mandiri.
Zhang, C., Schießl, J., Plößl, L., Hofmann, F., & Gläser-Zikuda, M. (2023). Acceptance of artificial intelligence among pre-service teachers: A multigroup analysis. International Journal of Educational Technology in Higher Education, 20(49), 1–22. https://doi.org/10.1186/s41239-023-00000-0
