RiPPLE Research

Rigorous research for
AI-assisted learning.

RiPPLE has been developed through and contributes to rigorous empirical educational research. Our work advances understanding of how AI can be used responsibly to enhance learning, agency, and equity for all students.

Research Strands

RiPPLE contributes to research across four strands

Rigorous empirical work spanning co‑creation, review, adaptivity, and AI‑supported learning.

Students as creators illustration

Students as creators

Learnersourcing and co‑creation

Research on student‑generated content, curriculum co‑creation, and platforms that position learners as active contributors.

Students as reviewers illustration

Students as reviewers

Peer review and evaluative judgement

Research on peer feedback, quality assurance, feedback literacy, and how students develop sound judgement by reviewing others’ work.

Students as adaptive learners illustration

Students as adaptive learners

Learner modelling and personalised practice

Research on learner models, recommendations, adaptivity, and data‑informed support that helps students practise what they need most.

Students learning with companions illustration

Students learning with companions

Generative AI and learning support

Research on AI companions, AI feedback, student agency, explainability, and responsible use of generative AI in education.

Research library

Explore our latest publications on AI‑assisted learning and educational innovation.

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Interested in researching learning with RiPPLE?

We partner with researchers and institutions to advance the science of AI‑assisted learning. Learn about collaboration opportunities and access to our platform.

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