RiPPLE: The future of learning is learner-sourced

RiPPLE transforms disengaged students into active contributors, fostering peer collaboration and enabling AI-supported content creation that is adaptive, interactive, and academically rigorous.

Problem

The limitations of traditional teaching models are increasingly evident in large university settings. Without scalable and personalised approaches, educators face mounting workloads, and students often disengage from passive learning formats. This disconnect can lead to lower academic performance, reduced satisfaction, and missed opportunities for deeper learning—ultimately impacting institutional outcomes and reputation.

Solution

RiPPLE (Recommendation in Personalised Peer Learning Environments) transforms traditional education by enabling scalable, personalised, and engaging learning experiences through a unique combination of learnersourcing, explainable AI, and collaborative content creation. Here’s how:

Empowers Educators: Reduces workload by shifting content creation and moderation to students, supported by AI. Teachers can reuse course structures, track engagement, and focus on facilitation rather than manual assessment.

Engages Students: Encourages active participation through peer feedback, study group collaboration, and adaptive learning paths. Students contribute content, receive recognition, and learn by teaching others.

Supports Institutions: Enhances academic reputation by publishing high-quality, student-generated content. Offers scalable solutions that complement existing curricula and improve learning outcomes.

Delivers Ethical AI: Uses transparent algorithms to recommend and validate content based on learning needs—not popularity—ensuring fairness and trust.

RiPPLE’s approach redefines the learning experience, making it more interactive, efficient, and inclusive, especially in large and diverse classrooms.

Core Components

• Learnersourcing Algorithm: Students contribute questions and study materials, which are peer-reviewed and validated using AI.
• Explainable AI: Ensures transparency in how content is rated and recommended, fostering trust and ethical use of AI.
• Adaptive Learning Engine: Matches learners with content based on their knowledge gaps and learning preferences.
• LMS Integration: Fully compatible with platforms supporting the LTI standard, allowing seamless deployment across institutions.
• Discipline-Agnostic Design: Suitable for both STEM and SHAPE disciplines, enhancing its versatility.

Ethical Use of AI in Education

Ethical use of AI is a critical consideration when selecting educational software, as it ensures transparency, fairness, and accountability in how learning data is used, content is recommended, and student outcomes are influenced.  RiPPLE exemplifies responsible AI use in education by:

• Promoting transparency through explainable AI.
• Empowering learners as co-creators, not just consumers.
• Ensuring inclusivity by being discipline-agnostic and adaptable to diverse learning contexts.
• Safeguarding quality via human-AI collaboration in content validation.

Success to Date

User Adoption: RiPPLE has been deployed across 60+ courses, engaging over 14,000 users and generating more than 30,000 study resources and 1 million interactions. This demonstrates strong traction in diverse learning environments and delivery modes.

Academic Impact: Research shows RiPPLE improves academic performance by up to 10% and significantly enhances student engagement, a key metric for learning experience and retention

Pedagogical Innovation: RiPPLE’s unique learnersourcing algorithm and explainable AI have been validated through peer-reviewed research and case studies in disciplines such as medicine and pharmacy, showcasing its versatility and effectiveness.

Segmented Value Proposition

RiPPLE delivers distinct, tailored benefits to each of its key user groups.

Growth Potential

The global education sector is undergoing a major transformation, driven by the integration of AI and adaptive technologies. According to HolonIQ and EdTech Digest, the AI in education market is projected to grow significantly, with adaptive learning platforms playing a central role in this expansion.

Despite a slowdown in venture capital—EdTech investment in 2024 dropped to US$1.8B, the lowest since 2014—mergers and acquisitions remain strong, with over 300 deals in 2024. This signals a strategic consolidation phase, favouring platforms with proven impact and scalable models.

Strategic Outlook

RiPPLE’s differentiated model—combining student-led content creation, adaptive recommendations, and ethical AI—makes it a strong candidate for strategic partnerships with universities and EdTech distributors

The UQ development team, together with UniQuest, are currently focused on building a rich, learnersourced content ecosystem, expanding the user base beyond UQ, enhancing commercial readiness and advancing UQ’s educational leadership.

As institutions increasingly prioritise engagement, efficiency, and ethical AI, RiPPLE is well-positioned to lead the next wave of adaptive learning innovation.

Research Leader

Dr Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics and a Senior Fellow of the Higher Education Academy. Hassan is a computer scientist by training and has held several software project positions in two start-ups before taking an academic position. He is a global expert in adaptive learning systems and the inventor of the ‘learnersourcing’ algorithm.