Penguatan Kompetensi Guru melalui Pelatihan Pengembangan Bahan Ajar dan Media Pembelajaran Berbasis Artificial Intelligence (AI)
DOI:
https://doi.org/10.47065/jpm.v7i1.3443Keywords:
Artificial Intelligence (AI); Community Service; Instructional Media; Merdeka Curriculum; Teacher Professional Development; Teaching MaterialsAbstract
The implementation of the Merdeka Curriculum requires teachers to possess the competence to develop innovative teaching materials and instructional media while effectively integrating digital technologies, including Artificial Intelligence (AI), into the learning process. However, a needs analysis conducted at SMP Negeri 6 Pematangsiantar revealed that most teachers had limited knowledge and skills in utilizing AI to develop instructional materials and learning media. This Community Service Program aimed to strengthen teachers' competencies through training on the development of AI-based teaching materials and instructional media to support the implementation of the Merdeka Curriculum. The program employed a participatory approach consisting of needs analysis, theoretical sessions, AI application demonstrations, hands-on workshops, mentoring, product presentations, and evaluation. The training involved 35 teachers from various subject areas at SMP Negeri 6 Pematangsiantar. The results demonstrated that all participants successfully developed instructional products, including teaching modules, handouts, student worksheets, interactive presentation media, and AI-assisted digital learning media. The developed products achieved an average quality score of 91.60, categorized as Excellent, while teachers' competency scores increased from an average pre-test score of 69.50 to a post-test score of 90.50, representing an improvement of 21.00 points. Participants' responses to the training were also highly positive, with an average satisfaction score of 4.85 (97.0%), indicating excellent acceptance of the program. These findings suggest that AI-based training integrating theoretical instruction, practical workshops, and intensive mentoring effectively enhances teachers' competencies in developing teaching materials and instructional media. The novelty of this program lies in its product-oriented training model, which integrates generative AI into the development of teaching materials and instructional media, enabling teachers to produce classroom-ready learning resources that support the effective implementation of the Merdeka Curriculum.
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References
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K–12 settings. TechTrends, 66, 924–932.
Arsyad, A. (2020). Media pembelajaran (Edisi revisi). PT RajaGrafindo Persada.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
Chiu, T. K. F., Ahmad, Z., & Çoban, M. (2025). Development and validation of teacher artificial intelligence (AI) competence self-efficacy (TAICS) scale. Education and Information Technologies, 30, 6667–6685.
Direktorat Jenderal Guru dan Tenaga Kependidikan. (2022). Panduan implementasi Kurikulum Merdeka. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.
Filo, Y., Rabin, E., & Mor, Y. (2024). An artificial intelligence competency framework for teachers and students: Co-created with teachers. European Journal of Open, Distance and E-Learning, 26, 93–106.
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. (2022). Keputusan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia Nomor 262/M/2022 tentang Perubahan atas Keputusan Menteri Pendidikan, Kebudayaan, Riset, dan Teknologi Nomor 56/M/2022 tentang Pedoman Penerapan Kurikulum dalam Rangka Pemulihan Pembelajaran.
Mayer, R. E. (2021). Multimedia learning (3rd ed.). Cambridge University Press.
Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO.
Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers. UNESCO.
Mikeladze, T., Meijer, P. C., & Verhoeff, R. P. (2024). A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review. European Journal of Education, 59, e12663.
Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative artificial intelligence and teachers: Emerging opportunities and challenges in education. Computers and Education: Artificial Intelligence, 5, 100171.
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71, 137–161.
Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D (Edisi ke-2). Alfabeta.
UNESCO. (2023). Guidance for generative AI in education and research. UNESCO.
Wang, X., Xu, W., & Liu, Y. (2024). Empowering university educators to support generative AI-enabled learning: Proposing a competency framework. Procedia CIRP, 128, 256–261.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, Article 39.
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