RiPPLE
RiPPLE recommends personalised learning resources to students based on their knowledge state from a pool of learning resources that are generated by educators and the students themselves.
RiPPLE recommends personalised learning resources to students based on their knowledge state from a pool of learning resources that are generated by educators and the students themselves.
RiPPLE engages students in creating, evaluating and analysing knowledge.
RiPPLE employs crowdsourcing to provide rich and timely feedback to students.
RiPPLE provides a tailored learning path for each student based on their academic abilities.
Unlike many other adaptive learning platforms, RiPPLE can be used in any discipline.
Instructors and students can cocreate a variety of learning resources such as worked examples, multiple-choice questions, summary notes, reports and showcase presentation that are shared with the entire class.
Engaging learning resources that use videos, text, scientific formulas and images can be created.
The resource will be tagged with a set of related topics.
RiPPLE uses student feedback and machine learning algorithms to identify resource that are most effective for student learning.
Students can test their understanding by answering any question in the repository. Aggregated response data is provided once they answer correctly. They may also rate the effectiveness of each question, and discuss the question with their peers through comments.
Each question is related to a subset of the course’s topics and has four multiple-choice answers.
Aggregated response data is shown when the user completes the question. An explanation provides the rationale behind the correct and incorrect answers.
Students rate the question based its effectiveness. The comments section allows students to discuss questions with their peers.
Students can see their current and historical ratings for each topic compared to the class average. This allows them to quickly visualise their strong and weak areas and focus their study appropriately.
Students can view their current knolwedge state compared to the class average.
Students can choose whether to view current or historical ratings.
RiPPLE takes into account the effectiveness and difficulty level of the resources and the current knowledge state of students to recommend personalised resources for each student.
Students receive recommended resources that are effective and are close to their current ability level.
Students can filter resource based on type, topic or keywords.
Weekly badges are awarded to students with the highest level of contribution or learning across a range of metrics.
Awards recognise students that have created effective resources, answered most questions correctly or assisted the most in moderation of resources.
A leaderboard tracks each user’s involvement with the platform and allows students to compare their progress with the top of their class across a range of metrics.
Students can see their progress compared to their top peers.
The teaching team can download detailed reports and analytics about the students' learning activities from the platform.
The RiPPLE client is a VueJS application augmented with av-ts for the Typescript language. The RiPPLE server is a Django application running on Python. Currently authentication is done through LTI
If you are interested in learning more about RiPPLE please contact us using the information below.
phone
+61 7 334 60774
h.khosravi@uq.edu.au
location_on
Brisbane, Australia
