Y. Abinivesh Reddy,
Satyam Kumar Mishra,
Shashwat Kumar,
Samarth B.,
- Student Information Science and Engineering, BMS Institute of Technology and Management, Bengaluru Karnataka India
- Student Information Science and Engineering, BMS Institute of Technology and Management, Bengaluru Karnataka India
- Student Information Science and Engineering, BMS Institute of Technology and Management, Bengaluru Karnataka India
- Student Information Science and Engineering, BMS Institute of Technology and Management, Bengaluru Karnataka India
Abstract
FlexEdify is an innovative adaptive learning platform revolutionizing the educational experience by customizing content to meet the unique needs of each student. Utilizing state-of-the-art machine learning algorithms, the system promptly analyzes students’ real-time errors, meticulously storing them in a centralized database. This database serves as the cornerstone for adaptive questioning, allowing the platform to dynamically adjust subsequent content based on individual weaknesses. The platform features a user-friendly interface, guaranteeing accessibility for students of varying proficiency levels. Immediate feedback and analytics empower learners to comprehend and conquer their mistakes effectively. FlexEdify’s personalized learning paths, coupled with a comprehensive error database, collectively present a robust tool for educators, streamlining the creation of targeted remedial content and fostering a more efficient learning process. This technological advancement signifies a substantial leap in education technology, promoting both student mastery and heightened engagement. FlexEdify not only supports diverse learning styles but also provides educators with detailed insights into student performance, enabling more informed instructional decisions and a more responsive educational environment. Through continuous adaptation and feedback, FlexEdify ensures that learning is both effective and engaging, preparing students for future academic success.
Keywords: Adaptive learning, personalized education, real-time feedback, machine learning algorithms, educational technology
[This article belongs to Journal of Multimedia Technology & Recent Advancements(jomtra)]
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Journal of Multimedia Technology & Recent Advancements
| Volume | 11 |
| Issue | 02 |
| Received | May 4, 2024 |
| Accepted | July 15, 2024 |
| Published | August 2, 2024 |