# RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities

arXiv: https://arxiv.org/abs/1910.05522 · HTML: https://mlsanity.com/paper/1910.05522/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Oct 2019.

## Built on by (most cited first, 11 of 11)

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- [Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation](https://mlsanity.com/paper/2306.06386/) (2023)
- [DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions](https://mlsanity.com/paper/2111.10058/) (2021)
- [Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models](https://mlsanity.com/paper/2309.10444/) (2023)
- [Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy](https://mlsanity.com/paper/2309.13500/) (2023)
- [Directive, Metacognitive or a Blend of Both? A Comparison of AI-Generated Feedback Types on Student Engagement, Confidence, and Outcomes](https://mlsanity.com/paper/2510.19685/) (2025)
- [LLMs Integration in Software Engineering Team Projects: Roles, Impact, and a Pedagogical Design Space for AI Tools in Computing Education](https://mlsanity.com/paper/2410.23069/) (2024)
- [AI-Driven Contribution Evaluation and Conflict Resolution: A Framework & Design for Group Workload Investigation](https://mlsanity.com/paper/2511.07667/) (2025)
- [Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment](https://mlsanity.com/paper/2608.11625/) (2026)

## Abstract (arXiv)

This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integrates insights from crowdsourcing, learning sciences, and adaptive learning, aiming to narrow the gap between these large bodies of research while providing a practical platform-based implementation that instructors can easily use in their courses. This paper provides a design overview of RiPPLE, which can be employed as a standalone tool or embedded into any learning management system (LMS) or online platform that supports the Learning Tools Interoperability (LTI) standard. The platform has been evaluated based on a pilot in an introductory course with 453 students at The University of Queensland. Initial results suggest that the use of the name platform led to measurable learning gains and that students perceived the platform as beneficially supporting their learning.