Pendampingan Guru Dalam Penggunaan Artificial Intelegensi (AI) Untuk Personalisasi Pembelajaran Sesuai Dengan Gaya Belajar Siswa
DOI:
https://doi.org/10.55583/arsy.v6i3.1635Keywords:
pendampingan guru, artificial intelligence, personalisasi pembelajaran, gaya belajarAbstract
Pengabdian kepada masyarakat ini dilaksanakan untuk mendampingi guru Sekolah Menengah Kejuruan (SMK) dalam memanfaatkan teknologi Artificial Intelligence (AI) guna mendukung personalisasi pembelajaran sesuai gaya belajar siswa. Perkembangan AI membuka peluang baru bagi dunia pendidikan, khususnya dalam penyediaan strategi pembelajaran yang adaptif, efisien, dan relevan dengan kebutuhan individual siswa. Namun, masih banyak guru SMK yang belum memiliki pemahaman memadai terkait konsep dasar AI maupun implementasinya di kelas. Kegiatan ini dilaksanakan melalui beberapa tahapan, yaitu sosialisasi, pelatihan, pendampingan, dan evaluasi. Pada tahap sosialisasi, guru diberikan pemahaman mengenai konsep AI dalam konteks pendidikan. Tahap pelatihan difokuskan pada pengenalan aplikasi dan platform AI yang dapat digunakan untuk mengidentifikasi kecenderungan gaya belajar siswa (visual, auditori, kinestetik) serta mendukung pengembangan materi ajar yang sesuai. Selanjutnya, dilakukan pendampingan intensif agar guru dapat merancang strategi pembelajaran berbasis AI secara praktis. Evaluasi kegiatan dilakukan melalui observasi, kuisioner, dan refleksi bersama untuk menilai peningkatan pengetahuan serta keterampilan guru. Hasil kegiatan menunjukkan peningkatan kompetensi guru dalam mengintegrasikan AI, serta adanya inovasi dalam strategi pembelajaran yang lebih personal, adaptif, dan menyenangkan bagi siswa. Kegiatan ini diharapkan dapat menjadi model berkelanjutan untuk mendukung transformasi digital di SMK.
References
Al Shloul, T., Mazhar, T., Abbas, Q., Iqbal, M., Ghadi, Y. Y., Shahzad, T., Mallek, F., & Hamam, H. (2024). Role of activity-based learning and ChatGPT on students’ performance in education. Computers and Education: Artificial Intelligence, 6, 100219. https://doi.org/10.1016/j.caeai.2024.100219
Charles, K. A., Yousuf, A., Chua, H. C., Matthews, S., Harnett, J., & Hinton, T. (2025). AI in action: Changes to student perceptions when using generative artificial intelligence for the creation of a multimedia project-based assessment. European Journal of Pharmacology, 998, 177508. https://doi.org/10.1016/j.ejphar.2025.177508
Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P. (2024). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), 100027. https://doi.org/10.1016/j.chbah.2023.100027
Hsu, T.-C., Abelson, H., Lao, N., Tseng, Y.-H., & Lin, Y.-T. (2021). Behavioral-pattern exploration and development of an instructional tool for young children to learn AI. Computers and Education: Artificial Intelligence, 2, 100012. https://doi.org/10.1016/j.caeai.2021.100012
Islami, S., Ambiyar, A., Sukardi, S., Candra, O., Wulansari, R. E., Agni Zaus, M., & Zaus, M. (2024). The Role of Artificial Intelligence in Flipped Interactive Learning: Building a Generation of Critical Thinkers, Skilled Communicators, Effective Collaborators, and Creative Innovators. Salud, Ciencia y Tecnología, 4. https://doi.org/10.56294/saludcyt2024.1311
Karan, B., & Angadi, G. R. (2023). Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review. Bulletin of Science, Technology & Society, 43(3–4), 67–85. https://doi.org/10.1177/02704676231224705
Katona, J., & Gyonyoru, K. I. K. (2025). Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes. Computers and Education: Artificial Intelligence, 8, 100392. https://doi.org/10.1016/j.caeai.2025.100392
Kong, S.-C., Zhang, G., Man, W., & Cheung, Y. (2022). Pedogogical Delivery of and Feedback for an Artificial Intelligence Literacy. In Article in Bulletin of the Technical Committee on Learning Technology (Vol. 22, Issue 1). https://teachablemachine.withgoogle.com/
Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 6, 100211. https://doi.org/10.1016/j.caeai.2024.100211
Misiejuk, K., Kaliisa, R., & Scianna, J. (2024). Augmenting assessment with AI coding of online student discourse: A question of reliability. Computers and Education: Artificial Intelligence, 6, 100216. https://doi.org/10.1016/j.caeai.2024.100216
Pan, Z., Moore, O. A., Papadimitriou, A., & Zhu, J. (2025). AI literacy and trust: A multi-method study of Human-GAI team collaboration. Computers in Human Behavior: Artificial Humans, 4, 100162. https://doi.org/10.1016/j.chbah.2025.100162
Rad, H. S., Alipour, R., & Jafarpour, A. (2023). Using artificial intelligence to foster students’ writing feedback literacy, engagement, and outcome: a case of Wordtune application. Interactive Learning Environments, 1–21. https://doi.org/10.1080/10494820.2023.2208170
Ronksley-Pavia, M., Nguyen, L., Wheeley, E., Rose, J., Neumann, M. M., Bigum, C., & Neumann, D. L. (2025). A scoping literature review of generative artificial intelligence for supporting neurodivergent school students. Computers and Education: Artificial Intelligence, 9, 100437. https://doi.org/10.1016/j.caeai.2025.100437
Sukardi, Candra, O., Mirshad, E., Zaus, M. A., & Islami, S. (2025). Leveraging Smart Home Training Kits as an Innovative Educational Tool to Foster Higher-Order Thinking Skills. Data and Metadata, 4, 476. https://doi.org/10.56294/dm2025476
Tusquellas, N., Palau, R., & Santiago, R. (2024). Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review. International Journal of Information Management Data Insights, 4(2), 100288. https://doi.org/10.1016/j.jjimei.2024.100288
Wu, D., Chen, M., Chen, X., & Liu, X. (2024). Analyzing K-12 AI education: A large language model study of classroom instruction on learning theories, pedagogy, tools, and AI literacy. Computers and Education: Artificial Intelligence, 7, 100295. https://doi.org/10.1016/j.caeai.2024.100295
Zaus, M. A., Eliza, F., Andriani, C., Candra, O., Jalil, S. A., Zaus, A. A., & Islami, S. (2025). Leveraging Algorithm Instruction with AI Chatbots: A Detailed Exploration of Their Impact on Students’ Computational Thinking. International Journal of Information and Education Technology, 15(5), 891–901. https://doi.org/10.18178/ijiet.2025.15.5.2295
