This research’s purpose is to analyze the level of understanding and implementation of innovative learning models, namely artificial intelligence (AI)-based learning and coding in the context of elementary schools. The background of this research stems from the demands of 21st-century education transformation, which emphasizes adaptive, in-depth learning oriented towards critical, creative, and collaborative thinking skills, as well as digital literacy. The research method used is a descriptive qualitative approach involving elementary school teachers from two educational units as research subjects. Data were collected through questionnaires that measured teachers' conceptual understanding and practical implementation of AI and coding-based learning. AI and coding learning are understood as a new form of digital literacy innovation, with relatively low implementation due to limitations in resources, time, and teachers' technological competencies. Overall, this research confirms that this innovative learning has great potential to improve the quality of learning in elementary schools of supported by strong teacher capacity, school policy support, and systematic and sustainable curriculum integration.
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