NEP 2020 and thoughtful AI adoption in schools

India’s National Education Policy 2020 gives schools a clear framing for educational technology. In its discussion of technology use and integration, the policy points to improving teaching, learning and evaluation processes and supporting teacher preparation and professional development. It also proposes a National Educational Technology Forum to support the exchange of ideas on the use of technology.

This policy context informs our approach. It does not imply government endorsement or certification of SparkSchool.

Begin with a teaching purpose

Start AI adoption with a concrete question: which preparation or assessment task could be better supported? A specific purpose, such as creating differentiated practice for mixed-ability classes, makes a pilot easier to evaluate than a general goal of “using AI”.

Build teacher capacity alongside access

Give teachers practical examples using their own grade, subject and board, whether CBSE, ICSE or a state curriculum. Include time to practise writing context, reviewing outputs and adapting materials. Tool access alone is not a professional learning programme. The UNESCO AI competency framework for teachers is a helpful way to structure that learning.

Connect preparation with evidence of learning

Try a connected workflow: plan a lesson, prepare differentiated practice, create a short assessment and review the responses. Use the evidence to decide what to reteach or extend. NEP 2020’s emphasis on foundational literacy and numeracy and on regular formative assessment fits naturally with this cycle. See formative assessment and retrieval practice.

Prepare students for an AI world

Global evidence from PISA 2025 shows that students who are taught to evaluate AI output tend to do better than those who use it without guidance. Building AI literacy into existing subjects helps every student, not only those who learn it at home.

What NEP 2020 asks of teachers and assessment

Beyond technology, the policy shapes how AI should be used. It calls for a shift from rote learning towards competency-based learning and assessment, expects each teacher to take part in at least 50 hours of continuous professional development every year (paragraph 5.15), and proposes PARAKH, a national assessment centre, to set norms for student assessment (paragraph 4.41). It also emphasises teaching in the home language or mother tongue where possible. AI tools that help teachers write application questions, adapt materials into more languages and plan professional learning support these aims directly.

A six-week pilot plan

1. Week 1: choose one workflow, such as competency-based questions for Class 8 science, and a small group of volunteer teachers.
2. Week 2: run a practical session with teachers’ own chapters. Agree what must be reviewed before any resource reaches students.
3. Weeks 3–4: teachers use the workflow in real lessons and keep a short log of time spent and changes made.
4. Week 5: review sample resources together for accuracy, language and curriculum fit.
5. Week 6: decide whether to continue, change or expand, based on teacher feedback and student work.

Questions to ask any AI provider

• Is our teachers’ and students’ content used to train AI models?
• How does the service approach India’s Digital Personal Data Protection Act, 2023?
• Which curricula, classes and languages does it support today?
• What does the teacher review before content reaches students?
• What training and support come with access?

Evaluate before expanding

NEP 2020 itself says technological interventions should be rigorously and transparently evaluated in relevant contexts before they are scaled up. Agree what a useful pilot would look like. Gather teacher feedback on quality, preparation effort and classroom fit. Discuss privacy, access and support needs before expanding to more teachers or campuses.