I read the Times of India story on the Central Square Foundation’s Bharat Survey for EdTech 2025 with a mix of optimism and concern. The headline — “Survey: Kids use AI daily, but most don’t know how it works” — captures a reality I’ve seen for years: access to powerful tools has raced ahead of understanding and stewardship (Times of India).
What the survey found (short version)
In brief: the survey covered about 12,500 households and 2,500 teachers across ten states and found rapid GenAI adoption by children using edtech. Some headline figures:
- ~35% of children who use edtech are already using generative AI tools for learning.
- Among those aware of GenAI, nearly three-quarters wrongly equate it with a search engine.
- Usage patterns skew strongly toward academic help: 73% use AI for doubt-solving and practice, 48% for new skills or translation, and 32% for test prep.
- For many low-income students the tools are routine: the report notes very high weekly and daily usage figures.
These numbers are striking because they show not just experimentation but routine reliance — without matched understanding.
Why I find this important (my perspective)
I’ve been working on AI-first learning tools and thinking about how they scale to India’s diversity for a long time (My-Teacher.in and earlier posts on practical AI in classrooms). What this survey confirms is a common pattern: when technology becomes convenient, people — including children — adopt it quickly. But convenience does not equal comprehension.
Kids like AI because it’s immediate, conversational and forgiving: it explains things in plain language, translates between languages, and can generate a practice exercise or a quick essay draft. My worry is that without foundational AI literacy, students will treat probabilistic outputs as facts.
Concrete examples of how kids are using AI today
- Chatbots for homework help and brainstorming — quick outlines, math hints, language corrections.
- Creative tools — image or story generators used for school projects or play.
- Study aids — instant summaries, flashcards, mock tests and translations.
- Gaming and mods — AI-driven characters and content generators in games that shape play and social interactions.
These are beneficial when used smartly. They become risky when used as a shortcut to bypass thinking, or when children can’t tell an AI-made error from a trustworthy source.
Major concerns: what keeps parents and educators awake at night
- Privacy: many edtech and AI tools collect data. For children, that data footprint can be long-lived and sensitive.
- Misinformation: generative models can hallucinate or invent plausible-sounding but false answers. Surveys flag “wrong information” as a top risk.
- Dependence: over-reliance on AI can blunt foundational skills — reasoning, verification, problem solving.
- Equity and quality: uneven access or poorly designed AI can reinforce gaps instead of closing them.
Experts say the most dangerous gap isn’t access — it’s literacy: students believe they “understand” AI while misunderstanding its limits.
Practical steps for parents, teachers and policymakers
We need a layered response — something that combines education, design, and governance.
For parents and caregivers:
- Talk openly: ask children how they used an AI tool today. Ask what made them trust the answer.
- Encourage verification: teach kids to cross-check AI outputs with a textbook, a teacher, or another reliable source.
- Set boundaries: time limits, clear academic-use rules, and model good digital habits.
For teachers and schools:
- Introduce basic AI literacy in class: what models do and don’t do, the idea of probability and bias, and simple verification skills.
- Use AI as tutor, not crutch: structure activities where students must explain, defend, or correct AI-generated answers.
- Train teachers: short, practical workshops on classroom use-cases and safe tool choices.
For policymakers and product-makers:
- Mandate privacy-by-default and age-appropriate data protections for edtech.
- Fund AI literacy modules in the national curriculum and local-language resources so teachers can adopt them quickly.
- Support independent audits of educational AI for accuracy, bias and safety.
A short, hopeful conclusion
Technology has always outpaced policy and practice. The survey’s message is clear: the genie is out of the bottle — kids are using AI — but we have a choice about how they use it. If we teach them to question, verify, and use AI as an assistant rather than a substitute for thinking, we can turn a potential problem into a generational advantage.
I’ve tried to build tools that make learning accessible and accountable. The next urgent step is to pair those tools with curricula, teacher support and common-sense safeguards so the next generation uses AI well.
Regards,
Hemen Parekh
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