A Survey of AI Misconception and Adoption Among Indonesian K-12 Teachers
Aji, Alham Fikri Amriani, Afifa Chevi, Rendi Purwarianti, Ayu Wijaya, Derry
Aji, Alham Fikri
Amriani, Afifa
Chevi, Rendi
Purwarianti, Ayu
Wijaya, Derry
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Department
Natural Language Processing
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Conference proceeding
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Language
English
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Abstract
Indonesia’s fragmented geography and uneven infrastructure pose persistent challenges for adopting new educational technologies. While national initiatives aim to mainstream AI in K–12 schools by 2025, policy readiness does not automatically mean teachers are ready for the classroom. This study surveys Indonesian K–12 teachers to examine: (1) their understanding of AI, (2) how they and their students use AI, and (3) their views on the acceptability of AI in learning activities. Through semi-automated thematic analysis, we identify common misconceptions and use cases. Our findings reveal a notable mismatch: while teachers find AI use in education acceptable and support it for the sake of efficiency, they remain fully aware of the risks to learning depth and academic honesty. We also find that this high level of acceptance is currently coupled with a poor understanding of how AI actually works.
Citation
A.F. Aji, A. Amriani, R. Chevi, A. Purwarianti, D. Wijaya, "A Survey of AI Misconception and Adoption Among Indonesian K-12 Teachers," 2026, pp. 285-299.
Source
Artificial Intelligence in Education
Conference
27th International Conference, AIED 2026
Keywords
46 Information and Computing Sciences, 4 Quality Education
Subjects
Source
27th International Conference, AIED 2026
Publisher
Springer Nature