Delia Indrawati, Lia Yuliati, Makbul Muksar, Widiyanti, Hana Andriningrum, Muhammad Imaduddin, Ika Febriana Wati
This study develops a web-based platform powered by artificial intelligence to support pre-service elementary school teachers in designing curriculum-aligned teaching modules under Indonesia’s Merdeka Curriculum. Using a modified Borg and Gall development model, the research followed five stages: potential and problem analysis, data collection, product design, validation, and revision. The platform enables users to input learning objectives and automatically generates structured lesson plans with appropriate content, activities, and assessments. Expert validations in media, content, and language yielded a high feasibility score, confirming the platform’s effectiveness in simplifying the instructional planning process. The AI-assisted system alleviates the cognitive burden of manual formatting and fosters independent, digitally driven learning. This innovation contributes to Sustainable Development Goal 4 (Quality Education) by enhancing the instructional competence of future educators through accessible, technology-integrated tools. It represents a scalable approach to improving educational quality in teacher training programs and broader pedagogical practices. © School of Engineering, Taylor’s University.
Universitas Negeri Malang, Malang, Indonesia; Universitas Negeri Surabaya, Surabaya, Indonesia
