Peer to Peer Learning Platform Optimized With Machine Learning
Vikram Anantha

TL;DR
HELM Learning is an innovative peer-to-peer online platform that leverages machine learning to personalize class recommendations, facilitating collaborative learning among students worldwide with automated backend processes.
Contribution
This paper introduces HELM, the first peer-to-peer learning platform with integrated machine learning for class recommendations and a scalable backend system, enhancing user experience and operational efficiency.
Findings
Over 4000 student sign-ups globally
Automated backend processes improve usability
ML recommendation system personalizes class suggestions
Abstract
HELM Learning (Helping Everyone Learn More) is the first online peer-to-peer learning platform which allows students (typically middle-to-high school students) to teach classes and students (typically elementary-to-middle school students) to learn from classes for free. This method of class structure (peer-to-peer learning) has been proven effective for learning, as it promotes teamwork and collaboration, and enables active learning. HELM is a unique platform as it provides an easy process for students to create, teach and learn topics in a structured, peer-to-peer environment. Since HELM was created in April 2020, it has gotten over 4000 student sign ups and 80 teachers, in 4 continents around the world. HELM has grown from a simple website-and-Google-Form platform to having a backend system coded with Python, SQL, JavaScript and HTML, hosted on an AWS service. This not only makes it…
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Taxonomy
TopicsOnline Learning and Analytics
Methodstravel james
