Teacher training on Developing Deep Learning-Based Instructional Media for Senior High School and Islamic Senior High School in Batahan District

  • Resdilla Pratiwi Program Studi Tadris Bahasa Inggris STAIN Mandailing Natal, Sumatera Utara
  • Desiana Komunikasi Penyiaran Islam STAIN Mandailing Natal, Sumatera Utara
  • Rona Adani Ulayya Program Studi Tadris Bahasa Inggris STAIN Mandailing Natal, Sumatera Utara
  • Restina Liza Program Studi Tadris Bahasa Inggris STAIN Mandailing Natal, Sumatera Utara
Keywords: Deep Learning; Digital Learning; Teacher Professional Competence.

Abstract

This Community Service Program (PKM) aims to strengthen the professional competence of Senior High School teachers in Batahan District by integrating Deep Learning technology into digital-based learning. The program responds to the demands of the Industrial Revolution 4.0 and Society 5.0, which require innovative, interactive, and adaptive teaching. However, limited training, weak digital infrastructure, and minimal technical guidance still hinder the use of digital media in schools. The program was carried out using a Participatory Action Research (PAR) approach with the Asset-Based Community Development (ABCD) model through discovering, mapping, connecting, and developing stages. Activities included intensive training, hands-on workshops, and mentoring in AI-based media development using ChatGPT, Gamma, Canva, and Quiziz. The results show increased teacher literacy in technology, creativity in pedagogy, and the ability to produce contextual AI-based digital media. This PKM contributes to developing innovative learning practices and is expected to encourage sustainable digital culture in Batahan schools.

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Published
2026-07-25
How to Cite
Pratiwi, R., Desiana, Ulayya, R. A., & Liza, R. (2026). Teacher training on Developing Deep Learning-Based Instructional Media for Senior High School and Islamic Senior High School in Batahan District. KENDURI : Jurnal Pengabdian Dan Pemberdayaan Masyarakat, 6(2). https://doi.org/10.62159/kenduri.v6i2.2644
Section
Articles