Knowledge & reasoning / PROPOSED CONCEPT

Learning companion.

Guide the next question, not just the next video.

Prototype candidateEducation ↗
AI-generated concept: A learning tablet explaining triangle angles with a practice question and course reference.
AI-GENERATED CONCEPT

The opportunity

A real need.
A considered response.

Learners may need a different explanation or a route back to the relevant material. A course-bound companion can provide contextual help while leaving teaching and assessment policy with educators.

DESIGNED AROUND

Learning providers and product teams supporting a defined course.

What would this look like for you?

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The experience

What this could make possible.

01

Course-grounded explanations

02

Source-linked help

03

Practice prompts

04

Educator review

01

Identify the learning goal

02

Retrieve course material

03

Offer a guided explanation

04

Invite practice and feedback

Under the surface

The engineering
behind the experience.

Architecture is a starting hypothesis. Discovery and representative tests decide what belongs in the first build.

POTENTIAL CONNECTIONSLearning platformCourse contentProgress records
01Architecture to explore
  • Course-scoped retrieval
  • Pedagogical response rules and evaluation
  • Accessibility and age-appropriate interaction design
02Integration dependencies

Learning platform, Course content, Progress records. Confirm access, data ownership, update frequency and failure behaviour during discovery.

03Validation and human control

Evaluate groundedness, helpfulness and inappropriate completion of assessed work. Participation is not proof of learning. Do not automate admissions or high-stakes assessment decisions.

A useful first step

Start small.
Learn something real.

One module, one language and an educator-reviewed set of learner questions.

Evidence to look for

Evaluate groundedness, helpfulness and inappropriate completion of assessed work.

A boundary to design for

Participation is not proof of learning. Do not automate admissions or high-stakes assessment decisions.

Proposed scope, not a delivery commitment. Data, permissions, operational constraints and sector requirements need review before implementation.

From possibility to a conversation

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your starting point.

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PRODUCT EXPLORATION: Learning companion

Status: Proposed concept — scope and feasibility to be agreed.

Our context:
To be discussed.

Who this could help:
Learning providers and product teams supporting a defined course.

A useful first pilot:
One module, one language and an educator-reviewed set of learner questions.

What to evaluate:
Evaluate groundedness, helpfulness and inappropriate completion of assessed work.

Important boundary:
Participation is not proof of learning. Do not automate admissions or high-stakes assessment decisions.

Integrations to explore:
Learning platform, Course content, Progress records

Concept reference: /products/learning-companion

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Related possibilities.

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