Mamta Motwani

AI Curriculum Developer Learning Experience Designer

Learning designed for an AI-powered world.

I design and build digital learning experiences that combine curriculum expertise, learning science, AI and interactive technology — for education and the workplace.

  • Curriculum Architecture
  • AI Learning
  • Interactive Experiences
  • Assessment
  • Professional Learning

Evidence

Selected work

Learning products already running on the web, each with the reasoning behind it written down. Two of them you can open right now without a code.

Already live

See all work, with case studies

In development

The AI Learning Lab

Four interactive learning experiences that teach people to use AI well, and where not to — for staff who do not work in technology, and for teachers. They are built and being tested, and they are not published yet because they are not finished to the standard the rest of this site is held to.

Capabilities

What I design

Four areas of practice. They overlap in almost every project.

  • AI Learning Experiences

    Interactive learning that helps people understand, practise and apply AI.

    In practice
    Four products in development — a decision activity, a prompt practice tool, a workflow builder and a course for educators — each built so the learner has to make the call rather than watch one being made.

  • Curriculum & Learning Architecture

    Structured learning pathways connecting goals, content, practice and assessment.

    In practice
    A Grade 3 science programme of 50 lessons across four units, where each of its 16 assessments is released by the learner finishing the lesson before it rather than by a date.

  • Interactive Digital Learning

    Web-based learning environments, simulations, activities, assessments and tools.

    In practice
    120 browser games and 686 printable sheets across 24 hosted products, served with no accounts, no logins and no personal data stored.

  • Professional Learning

    Practical learning experiences for educators and professionals.

    In practice
    Sessions and self-paced modules written so that a participant leaves with something they can use the same week, not a certificate.

Process

From learning problem to working product

The same seven stages whether the product is a printed unit or an interactive web tool.

  1. Discover

    Ask who this is for and what already exists.

  2. Define

    Name the learning problem and what success looks like.

  3. Architect

    Map goals, sequence, practice and assessment.

  4. Design

    Decide what the learner sees, does and gets back.

  5. Build

    Make the working product, not a slide about it.

  6. Validate

    Test it. Check every claim it makes.

  7. Iterate

    Fix what the checks and the users find.

AI accelerates my research, prototyping and development. It does not replace learning design, verification or professional judgment.

Where this comes from

Deep roots in education. Broader possibilities for learning.

My foundation in curriculum and education shapes how I think about progression, clarity, feedback, engagement and learner independence. I now combine that expertise with AI-assisted development to create digital learning products for students, educators and professional learners.

How the education work informs the rest

What I hold on to

Progression
What has to be understood before the next thing can be.
Clarity
One idea per screen, named in words the learner already has.
Feedback
Specific enough to act on, and given while it still matters.
Independence
The product should make itself unnecessary.

The position underneath all of it is set out in The Learning Conditions, a separate published site. I design to the same three conditions whether the learner is seven years old or sitting in a workplace module.

Let’s build better learning.

If you are working on curriculum, AI learning, professional learning or a digital learning product, tell me what you are trying to make possible.