Learning Based Recognition: Leveraging Past Learning Recognition for Personal Development Enhancement

Learning Based Recognition is a platform that focuses on recognizing past learning from each registered learner. This study aims to develop learning-based recognition that uses previous learning experiences as a basis for improving self-development. This study involves partners who use the platform, with analysis before and after implementation. The research method uses the neuroresearch method. The results showed that the implementation of Learning Based Recognition significantly increased the level of partner empowerment and their learning experience. The average experience increased from 45.18 before implementation to 66.69 after implementation, with a very significant difference <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\boldsymbol{\alpha} &lt; \mathbf{0.01})$</tex>. Further analysis through Regression Tree showed that the main indicator that influenced the success of the platform was consistency in display design, which was strengthened by increased social awareness interaction and social interdependence. In conclusion, future platform development should focus on two main aspects: strengthening social interaction and improving the consistency of display design to improve user experience and their level of empowerment more effectively.