Integration of Deep Learning in AI-Based Learning to Improve Primary School Teachers’ Digital Literacy

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Authors: Heryon Bernard Mbuik, Hingrida Margarita Anastasia Hendrik, Musa Daniel Nakmofa
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Abstract

This community service (PKM) program addresses the need to strengthen digital literacy and pedagogically grounded artificial intelligence (AI) integration among primary school teachers. The program implemented a practice-based training model combined with a co-design pedagogy approach, enabling teachers to actively engage as learning designers rather than passive technology users. The activity was conducted at SDN Oetona, Kupang, involving twelve primary school teachers. Evaluations were carried out through pre- and post-tests, observation of instructional practices, and guided reflective responses. The findings indicate a notable improvement in teachers’ conceptual understanding, operational readiness, and confidence in integrating AI into lesson planning and classroom activities, with 80% of participants demonstrating the ability to apply basic AI tools for instructional support. Despite positive outcomes, the program faced limitations related to training duration, participant scale, and device availability. As a follow-up strategy, a school-based learning community was established to support sustained collaboration, mentoring, and the gradual development of AI-supported pedagogical practices in primary education.

Fields of Study & Subjects

Digital literacy in education Artificial Intelligence in Education Education and Communication Studies

Publication details

Journal / source
Room of Civil Society Development
Volume
5
Issue
1
Pages
13–23
Publication date
13 January 2026