AI, EdTech & Digital Learning

AI, EdTech & Digital Learning Topic Hub

Responsible AI and evidence-informed technology decisions for schools

This hub organises practical guidance on AI literacy, governance, academic integrity, digital citizenship, platforms, smart boards and EdTech investment. Technology is treated as an educational decision, not a symbol of innovation.

AI governance, assessment and classroom use

Create policies and learning practices that use AI without weakening thinking, evidence or student safety.

K–12 AI GovernanceProtect academic integrity, privacy and responsible institutional use.Authentic Assessment in the Generative AI EraDesign evidence of learning that remains meaningful.Digital Citizenship in SchoolsDevelop safe, ethical and participatory digital behaviour.AI for Lesson PlanningDecide what teachers should and should not automate.

EdTech selection and sustainable implementation

Evaluate educational value, teacher workload, overlap, usability, evidence and long-term cost before adoption.

School EdTech Stack AuditIdentify overlap, low adoption and weak educational value.Smart Board Platform ComparisonCompare classroom platforms through educational criteria.Hybrid Learning InfrastructurePlan systems that support rather than distract from learning.Transformative Trends in Indian EducationReview technology within wider educational change.

Tools, services and related resources

Use these practical resources to move from reading to reflection, review or implementation.

Implementation Resources

Ready-to-Adapt AI and EdTech Frameworks for Schools

The following frameworks can be copied into a school working document and adapted to curriculum, age group, local requirements and approved platforms. They support the existing AI governance pillar without creating competing articles.

1. School AI Acceptable-Use Policy Framework

Purpose

The school permits responsible artificial intelligence use where it supports learning, accessibility, planning or administration without replacing required human judgement, student thinking, privacy or accountability.

Core expectations

• Users must follow teacher and school instructions about when AI is permitted.
• Students must not submit AI-generated work as their own.
• Personal, confidential, safeguarding or identifiable student information must not be entered into unapproved tools.
• AI output must be checked for accuracy, bias, relevance and appropriate language.
• Teachers remain responsible for curriculum decisions, feedback and assessment judgement.
• AI must not be used to impersonate, bully, deceive or create harmful content.
• Suspected misuse should be handled through educational guidance and proportionate consequences.

Permitted use should specify

Schools should state which tools and accounts are approved, minimum ages, consent arrangements, acceptable classroom purposes, data restrictions, citation expectations and the person responsible for reviewing the policy.

2. AI Academic-Integrity Protocol

Assessment status	Meaning	Student responsibility
AI not permitted	The task assesses unaided knowledge or skill	Complete independently without generative assistance
AI permitted with limits	Specific uses such as brainstorming or language feedback are allowed	Follow the stated boundary and disclose use
AI integrated	Evaluating or improving AI output is part of the task	Submit prompts, output and evidence of personal reasoning where required

Teacher checklist

• State the permitted level before students begin.
• Design tasks that require explanation, process evidence or application.
• Discuss citation and disclosure examples.
• Use professional judgement rather than relying only on AI-detection software.
• Give the student an opportunity to explain their process where authorship is uncertain.
• Apply the school’s assessment and behaviour procedures consistently.

3. EdTech Procurement Evaluation Scorecard

Score each area from 1, weak, to 5, strong. Require evidence for every score.

Criterion	Questions	Weight
Educational fit	Which defined learning or operational problem does it solve?	25%
Evidence and usability	Can teachers and students use it effectively in real conditions?	15%
Curriculum and assessment	Does it align with school expectations and allow professional judgement?	15%
Privacy and security	What data is collected, stored, shared and deleted?	20%
Implementation	What training, support, integration and leadership time are required?	10%
Cost and sustainability	What is the full three-year cost, including devices and renewal?	10%
Accessibility and inclusion	Can students with different needs access the platform?	5%

A high total score should not automatically approve a product. Any unacceptable safeguarding, privacy, contractual or accessibility risk can remain a reason not to proceed.

4. School AI Readiness Audit

Leadership and purpose

• The school has defined educational reasons for exploring AI.
• A named group is responsible for governance and review.
• Leaders understand that AI adoption is a change-management process.

Policy and safeguarding

• Acceptable use, academic integrity and data protection expectations are aligned.
• Approved and prohibited data types are clear.
• Incident reporting and parent communication routes are defined.

Teaching and assessment

• Teachers can identify useful and inappropriate AI use.
• Assessment tasks are reviewed for authenticity and process evidence.
• Students receive age-appropriate AI literacy teaching.

Technology and equity

• Infrastructure and access do not create avoidable disadvantage.
• Platforms have been reviewed for privacy, age suitability and accessibility.
• A pilot can be evaluated before wider adoption.

Rate each statement as Not Started, Emerging, Established or Embedded. Select no more than three priorities for the next term.

5. Parent Guidance for Student AI Use

• Ask the child to explain what they learned, not only what the tool produced.
• Follow the school’s rules for each assignment.
• Do not enter personal or confidential information into public tools.
• Encourage verification through reliable sources.
• Agree sensible routines so AI does not replace reading, discussion, practice or sleep.
• Contact the teacher when expectations are unclear.

Parents do not need to become technical experts. They need clear school expectations and conversations that protect thinking, honesty, safety and balance.

A Practical 60-Day Implementation Sequence

1. Identify current AI use among staff and students.
2. Agree interim guardrails for data, assessment and approved use.
3. Select one limited educational pilot.
4. Brief staff, students and parents in plain language.
5. Collect evidence about learning value, workload, access and risk.
6. Review the policy and decide whether to stop, adapt or scale.

Use these frameworks alongside AI Literacy and Guardrails, K–12 AI Governance, Authentic Assessment in the AI Era and the School EdTech Stack Audit.