A study posted on arXiv examines why AI adoption in Indonesian K-12 classrooms remains difficult. The abstract highlights two structural obstacles: the country's fragmented geography and its uneven infrastructure. These factors, the authors argue, create persistent challenges for introducing new educational technologies, even when national policy pushes for change.
The paper notes that Indonesian national initiatives aim to mainstream AI in K-12 schools by 2025. However, the abstract suggests that policy readiness does not fully align with on-the-ground conditions. The gap between stated goals and practical realities appears central to the study's inquiry.
Because the full paper is not yet available, the analysis is limited to the abstract. Still, the findings point to a familiar pattern: top-down technology mandates often struggle in regions where physical and digital access vary widely. The study adds to a growing body of research on AI in education across developing and archipelagic nations.