Pelatihan Pembelajaran Bahasa Inggris Berbasis Artificial Intelligence (AI) bagi Guru MGMP Bahasa Inggris SMP Kota Semarang

Lusia Maryani Silitonga, Sri Suciati, Wiyaka Wiyaka, Entika Fani Prastikawati

Abstract


Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi dan keterampilan guru MGMP Bahasa Inggris SMP Kota Semarang dalam mengintegrasikan teknologi Artificial Intelligence (AI) ke dalam proses pembelajaran. Pelatihan dilaksanakan secara luring dengan pendekatan interaktif dan praktik langsung, mencakup pengenalan konsep dasar AI, penggunaan aplikasi seperti ChatGPT, Replika, dan teknologi AR/VR, serta penyusunan rencana implementasi pembelajaran berbasis AI. Hasil evaluasi menunjukkan bahwa pelatihan ini berhasil meningkatkan pemahaman peserta terhadap konsep AI serta keterampilan dalam menggunakan teknologi tersebut untuk mendukung pembelajaran bahasa Inggris yang lebih inovatif dan efektif. Para peserta menunjukkan antusiasme tinggi dan aktif dalam diskusi serta praktik. Meskipun demikian, pelatihan juga mengungkapkan adanya kebutuhan akan pendampingan lanjutan dan dukungan infrastruktur. Untuk menjaga keberlanjutan dampak pelatihan, disarankan pembentukan komunitas guru AI dan penguatan kolaborasi antara sekolah, pemerintah daerah, dan perguruan tinggi.

Keywords


AI based education; model pembelajaran inovatif; kompetensi guru

Full Text:

PDF

References


Deng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81–83.

Fryer, L. K., & Carpenter, R. (2006). Bots as language learning tools. Language Learning and Technology, 10(3), 8–14. https://doi.org/10.10125/44068

Fryer, L. K., Nakao, K., & Thompson, A. (2019). Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in Human Behavior, 93, 279–289. https://doi.org/10.1016/j.chb.2018.12.023

Hopson, M. H., Simms, R. L., & Knezek, G. A. (2001). Using a technology-enriched environment to improve higher-order thinking skills. Journal of Research on Technology in Education, 34(2), 109–119. https://doi.org/10.1080/15391523.2001.10782338

Kim, H. S., Kim, N. Y., & Cha, Y. (2022). A study on the use of AI-based learning programs by EFL students with different types of teacher support. Korean Journal of English Language and Linguistics, 22, 355–376. https://doi.org/10.15738/kjell.22..202204.355

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

Law, N., Niederhauser, D. S., Christensen, R., & Shear, L. (2016). A multilevel system of quality technology-enhanced learning and teaching indicators. Journal of Educational Technology and Society, 19(3), 72–83. https://doi.org/10.2307/jeductechsoci.19.3.72

Silitonga, L. M., Hawanti, S., Aziez, F., Furqon, M., Zain, D. S. M., Anjarani, S., & Wu, T.-T. (2023). The impact of AI chatbot-based learning on students’ motivation in English writing classroom. In Lecture Notes in Computer Science (Vol. 14099, pp. 542–549). Springer. https://doi.org/10.1007/978-3-031-40113-8_53

Silitonga, L. M., & Suciati, S. (n.d.). Pelatihan AI based education untuk pemberdayaan guru SMAN 1 Kabupaten Blora. Jurnal Pengabdian Kepada Masyarakat, 15(2), 428–433. https://journal.upgris.ac.id/index.php/e-dimas

Silitonga, L. M., Wiyaka, Suciati, S., & Prastikawati, E. F. (2024). The impact of integrating AI chatbots and microlearning into flipped classrooms: Enhancing students’ motivation and higher-order thinking skills. In Lecture Notes in Computer Science (Vol. 14786, pp. 184–193). Springer. https://doi.org/10.1007/978-3-031-65884-6_19

Suciati, S., Silitonga, L. M., Wiyaka, Huang, C. Y., & Anggara, A. A. (2024). Enhancing engagement and motivation in English writing through AI: The impact of ChatGPT-supported collaborative learning. In Lecture Notes in Computer Science (Vol. 14786, pp. 205–214). Springer. https://doi.org/10.1007/978-3-031-65884-6_21

Wu, T.-T., Lee, H.-Y., Li, P.-H., Huang, C.-N., & Huang, Y.-M. (2024). Promoting self-regulation progress and knowledge construction in blended learning via ChatGPT-based learning aid. Journal of Educational Computing Research, 61(8), 3–31. https://doi.org/10.1177/07356331231191125




DOI: https://doi.org/10.26877/e-dimas.v16i3.23696

Refbacks

  • There are currently no refbacks.




Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Visitor Statistics View My Stats

E-Dimas: Jurnal Pengabdian kepada Masyarakat has been indexed in:

                   

Creative Commons License

E-Dimas: Jurnal Pengabdian kepada Masyarakat by LPPM Universitas PGRI Semarang is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://journal.upgris.ac.id/index.php/e-dimas.