Japanese High Schoolers Adopt AI Tools for Study
A Gakken Research Institute survey of 2,400 students in November 2025 found 73.7% of Japanese high school students use conversational AI, primarily as study assistants and for information retrieval. High school users reported using AI for homework (42.3%) and searching for information (26.0%). Elementary and junior high students also use generative AI, with elementary pupils notably using it for image creation (23.7%). Most students reported no change in their thinking skills after using AI, though high schoolers were more likely to say their thinking had weakened than strengthened. Experts call for stronger AI literacy and classroom guidance to ensure tools support, rather than supplant, critical thinking.
What happened
A survey by the Gakken Research Institute for Learning and Education conducted in November 2025 of 2,400 students shows 73.7% of Japanese high school students are using conversational generative AI. Use is concentrated on academic tasks: high schoolers use AI mainly to assist with studying and homework (42.3%) and to gather information (26.0%). Elementary and junior high students also report substantial usage for similar purposes.
Technical details
The online survey sampled 100 boys and 100 girls from each grade from first grade elementary through third grade high school. Respondents were asked about generative AI such as ChatGPT with multiple answers allowed. Reported primary use-cases include:
- •High school: help with studying and homework (42.3%), find information (26.0%), other educational tasks
- •Junior high: find information (17.8%), help with studying and homework (17.7%)
- •Elementary: find information (44.0%), help with studying and homework (32.6%), create illustrations and images (23.7%)
Context and significance
Rapid adoption among adolescents shifts the education baseline. High penetration in high schools means teachers and edtech vendors face immediate operational questions: how to integrate AI into curricula, detect and deter misuse, and measure learning outcomes when students rely on AI for formative work. The finding that a plurality of students report "no particular change" in thinking ability masks a worrying split: more high schoolers reported their thinking had "become weaker" than "become stronger," while younger students reported net improvements. That divergence raises questions about task complexity, shallow reliance on AI for higher-order reasoning, and whether existing digital literacy programs scale with real classroom behavior.
What to watch
Educators, testing agencies, and edtech vendors should prioritize pragmatic AI literacy: provenance checking, prompt design instruction, and scaffolding AI outputs into evidence-based learning tasks. Policymakers should track whether increased classroom use prompts changes to assessment design or formal guidance on generative AI in schools.
"It is essential to foster AI literacy and make sure that children can use the technology as an assistant to help improve their thinking ability," said Hiroyuki Masukawa, professor of cognitive science at Aoyama Gakuin University. That prescription is the operational next step for schools facing near-ubiquitous student access to conversational AI.
Scoring Rationale
National-scale survey showing rapid student adoption is operationally important for educators and edtech firms, but it does not introduce new technical capabilities. Recent timing reduces novelty slightly; subtracting 0.5 points for date freshness.
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