Pelatihan Kecerdasan Artifisial bagi Guru dalam Pengembangan Media dan Materi Bahasa di MTs Swasta Al-Amin Labuhanbatu Utara

Penulis

  • Gumarpi Rahis Pasaribu STIT Al-Ittihadiyah Labuhanbatu Utara
  • Nanda Dwi Astri Universitas Prima Indonesia, Medan
  • Dara Mubshirah Universitas Islam Negeri Ar-Raniry Banda Aceh
  • Rani Arfianty Universitas Suamatera Utara
  • Murniati Br Barus Universitas Suamatera Utara
  • Nurainun Hasibuan STAI Darul Arafah Deliserdang

DOI:

https://doi.org/10.61253/abdicendekia.v5i3.1169

Kata Kunci:

Guru Bahasa, Kecerdasan Artifisial, Materi Pembelajaran, Media Pembelajaran

Abstrak

Perkembangan kecerdasan artifisial generatif membuka peluang bagi guru untuk mengembangkan media dan materi pembelajaran bahasa secara lebih cepat, variatif, dan adaptif, tetapi pemanfaatannya menuntut kemampuan pedagogis, verifikasi, serta pertimbangan etis. Kegiatan pengabdian kepada masyarakat ini bertujuan mendeskripsikan proses penguatan kompetensi guru dalam memanfaatkan kecerdasan artifisial untuk pengembangan media dan materi pembelajaran bahasa di MTs Swasta Al-Amin Labuhan Batu Utara. Kegiatan dilaksanakan pada Januari 2026 menggunakan pendekatan kualitatif deskriptif melalui pelatihan partisipatif, observasi, dokumentasi produk, refleksi, dan wawancara semi-terstruktur. Intervensi menggunakan siklus 5R, yaitu Rumuskan tujuan, Rancang perintah, Reviu keluaran, Relevansikan konteks, dan Refleksikan aspek etis. Analisis tematik diarahkan pada perubahan cara guru merancang penggunaan AI, menyusun prompt, memverifikasi keluaran, mengontekstualisasikan materi, dan mempertahankan agensi profesional. Hasil pembahasan memperlihatkan lima kecenderungan utama: orientasi penggunaan bergeser dari pencarian hasil instan menuju desain pedagogis; prompt menjadi lebih spesifik; verifikasi dipahami sebagai tahap wajib; materi lebih disesuaikan dengan konteks peserta didik; dan perhatian terhadap privasi serta tanggung jawab profesional meningkat. Temuan tersebut menegaskan bahwa kompetensi AI guru bahasa tidak cukup berupa keterampilan operasional, melainkan perlu diposisikan sebagai literasi AI pedagogis yang berpusat pada tujuan pembelajaran dan kontrol profesional guru.

Referensi

Arfianty, R. (2024). Contrastive causative construction in Japanese and Indonesian: X-Bar theory. International Journal Linguistics of Sumatra and Malay, 2(2), 56–66. https://doi.org/10.32734/ijlsm.v2i2.15382

Arfianty, R., & Mulyadi, M. (2023). Konstruksi ergatifitas bahasa Indonesia dan bahasa Jepang: Kajian tipologi. Kiryoku, 7(2), 8–16. https://doi.org/10.14710/kiryoku.v7i2.8-16

Arfianty, R., Mubshirah, D., & Pujiono, M. (2023). Japanese women language politeness in communication interview: Sociolinguistic study. Eralingua: Jurnal Pendidikan Bahasa Asing dan Sastra, 7(2), 473–483. https://doi.org/10.26858/eralingua.v7i2.47890

Astri, N. D., Manullang, T., Simanjuntak, M. M., & Br Sinaga, M. P. (2022). Transfer of short stories into drama scripts. Randwick International of Education and Linguistics Science Journal, 3(1), 94–100. https://doi.org/10.47175/rielsj.v3i1.412

Astri, N. D., & Mulyadi, M. (2024). Emotional verbs of angry in Javanese Ngoko: Semantic studies. Randwick International of Education and Linguistics Science Journal, 5(4), 1259–1268. https://doi.org/10.47175/rielsj.v5i4.1081

Astri, N. D., & Pardede, O. B. (2021). Imperative sentences in Java Ngoko in North Sumatra. Randwick International of Education and Linguistics Science Journal, 2(3), 401–407. https://doi.org/10.47175/rielsj.v2i3.305

Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, 4. https://doi.org/10.1186/s41239-023-00436-z

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20, 22. https://doi.org/10.1186/s41239-023-00392-8

Ding, A. C. E., Shi, L., Yang, H., & Choi, I. (2024). Enhancing teacher AI literacy and integration through different types of cases in teacher professional development. Computers and Education Open, 6, 100178. https://doi.org/10.1016/j.caeo.2024.100178

Hasibuan, N., & Mulyadi. (2024). Syntactic analysis of serial verb constructions in Arabic language. Randwick International of Education and Linguistics Science Journal, 5(1). https://doi.org/10.47175/rielsj.v5i1.940

Hasibuan, N., Mulyadi, Mahriyuni, Nasution, K., Nurlela, & Rosa, R. N. (2026). Conceptual metaphors of morality in Indonesian language: A corpus-based cognitive semantic study. Research Journal in Advanced Humanities, 7(2). https://doi.org/10.58256/325e9b95

Hasibuan, N., & Mulyadi. (2025). Tata urut kata klausa bahasa Arab pada Sya’ir Abu Nawas: Kajian tipologi sintaksis. Ihya Al-Arabiyah: Jurnal Pendidikan Bahasa dan Sastra Arab.

Karataş, F., Abedi, F. Y., Gunyel, F. O., Karadeniz, D., & Kuzgun, Y. (2024). Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners. Education and Information Technologies, 29, 19343–19366. https://doi.org/10.1007/s10639-024-12574-6

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., Stadler, M., Weller, J., Kuhn, J., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868

Kohnke, L., Zou, D., & Moorhouse, B. L. (2024). Technostress and English language teaching in the age of generative AI. Educational Technology & Society, 27(2), 306–320. https://doi.org/10.30191/ETS.202404_27(2).TP02

Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6, 100174. https://doi.org/10.1016/j.caeo.2024.100174

Li, B., Tan, Y. L., Wang, C., & Lowell, V. (2025). Two years of innovation: A systematic review of empirical generative AI research in language learning and teaching. Computers and Education: Artificial Intelligence, 9, 100445. https://doi.org/10.1016/j.caeai.2025.100445

Lo, A. W. T. (2025). The educational affordances and challenges of generative AI in Global Englishes-oriented materials development and implementation: A critical ecological perspective. System, 130, 103610. https://doi.org/10.1016/j.system.2025.103610

Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410. https://doi.org/10.3390/educsci13040410

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO.

Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO.

Moorhouse, B. L., & Kohnke, L. (2024). The effects of generative AI on initial language teacher education: The perceptions of teacher educators. System, 122, 103290. https://doi.org/10.1016/j.system.2024.103290

Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T. (2024). Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course. System, 125, 103399. https://doi.org/10.1016/j.system.2024.103399

Mubshirah, D., & Mulyadi, M. (2024). Pivot system in Arabic coordination sentence: A syntactic typology study. Premise: Journal of English Education and Applied Linguistics, 13(1), 293–310. https://doi.org/10.24127/pj.v13i1.7929

Mubshirah, D., Pasaribu, G. R., Lubis, M. H., Saragih, E., & Sofyan, R. (2023). Sentence complexity analysis in selected students’ scientific papers: A closer look on abstract section. E-Structural, 6(1), 70–83. https://doi.org/10.33633/es.v6i01.8080

Mubshirah, D., Widayati, D., Mbete, A. M., & Dardanila. (2024). Flora lexicons in Acehnese proverb: Ecolinguistic study. International Journal Linguistics of Sumatra and Malay, 2(2), 37–48. https://doi.org/10.32734/ijlsm.v2i2.14529

Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27, 7893–7925. https://doi.org/10.1007/s10639-022-10925-9

Pasaribu, G. R., & Mulyadi. (2024). Malay of Kualuh word order in Labuhanbatu Utara: A study of syntactic typology. Premise: Journal of English Education and Applied Linguistics, 13(1), 283–297. https://doi.org/10.24127/pj.v13i1.7813

Pasaribu, G. R., Salmiah, M., & Junaidi. (2024). Linguistic landscape in Kualanamu International Airport. LingPoet: Journal of Linguistics and Literary Research, 5(1), 1–6.

Pasaribu, G. R., Widayati, D., Mbete, A. M., & Dardanila. (2023). The fauna lexicon in Aceh proverb: Ecolinguistic study. Jurnal Arbitrer, 10(2), 149–159. https://doi.org/10.25077/ar.10.2.149-159.2023

Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12, 22. https://doi.org/10.1186/s41039-017-0062-8

Tan, X., Cheng, K. S., & Ling, M. H. A. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8, 100355. https://doi.org/10.1016/j.caeai.2024.100355

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, 15. https://doi.org/10.1186/s40561-023-00237-x

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—Where are the educators? International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0

Zhang, Z., & Xu, L. (2022). Student engagement with automated feedback on academic writing: A study on Uyghur ethnic minority students in China. Journal of Multilingual and Multicultural Development. https://doi.org/10.1080/01434632.2022.2102175

Zou, D., Kohnke, L., Moorhouse, B. L., & Li, W. (2024). Generative artificial intelligence and English language teaching: Affordances, challenges, and pedagogical implications. Computer Assisted Language Learning.

Unduhan

Diterbitkan

2026-08-26

Cara Mengutip

Pasaribu, G. R., Astri, N. D., Mubshirah, D., Arfianty, R., Barus, M. B., & Hasibuan, N. (2026). Pelatihan Kecerdasan Artifisial bagi Guru dalam Pengembangan Media dan Materi Bahasa di MTs Swasta Al-Amin Labuhanbatu Utara. Abdi Cendekia : Jurnal Pengabdian Masyarakat, 5(3), 3657–3679. https://doi.org/10.61253/abdicendekia.v5i3.1169

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