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Track D · Education (B.Ed.)

AI in Education (EdTech)

AI literacy for B.Ed. students at Indian universities — personalized learning, AI tutors, assessment automation, classroom AI integration. NEP-aligned discipline module for future teachers.

Track D · D6

The module you would run on your campus

Education students complete this module as part of the Track D layer of their existing degree, after the Universal Literacy module (D1).

What AI means in Education

3 capabilities the module produces.

  • Personalised learning pathways

    Use AI tutors and adaptive engines to scaffold student progress — and design the pedagogy that the platform serves, not the other way around.

  • Assessment & feedback at scale

    AI-assisted grading and feedback workflows that survive moderation, with clear rules for when human review is mandatory.

  • Pedagogical evaluation of AI tools

    Decide whether a classroom AI tool actually improves outcomes or just substitutes attention. Build the evaluation evidence yourself.

The module

AI in Education (B.Ed.)

D6

AI in Education (B.Ed.)

Sem 5–63 credits

Skill outcomes

  • Design personalized learning pathways using AI tutors
  • Build assessment and grading workflows with AI assistance
  • Evaluate AI classroom tools for pedagogical fit and bias
  • Develop lesson plans that integrate AI as a teaching aid

Prerequisites: D1

Updated 2026-04

Industry context

AI is entering Indian classrooms — government, private, supplementary tutoring — without serious pedagogical evaluation. Future teachers who can run that evaluation, and design teaching practice around AI honestly, set what the next generation of education looks like.

Student outcomes

  • Design a lesson plan that integrates AI as a teaching aid, with rationale
  • Critique an AI classroom tool for pedagogical fit and bias
  • Run an assessment cycle using AI-assisted grading with documented moderation
  • Articulate the equity considerations of AI in Indian classrooms

Run this on your campus

Education students get the same Skill Score as every other Kompas student. Discipline-relevant. Cohort-comparable.