Machine Learning and Gamification for a personalized-adaptive educational application.

GitHub : lopezbec/AI_Gamification_Python

This project is supported by the National Fund for Innovation and Scientific and Technological Development (FONDOCyT for its acronym in Spanish) from the Ministry of Higher Education, Science, and Technology of the Dominican Republic (FONDOCYT 2022-3A1-112), and is in collaboration with the Universidad Nacional Pedro Henríquez Ureña (UNPHU) and the  Asociación para la Creatividad, Innovación, Emprendimiento y Networking (A100%) from the Dominican Republic.

The project aims to explore the implementation of Machine Learning algorithms in a gamified educational application to personalize its game elements and adapt its pedagogical content.  The application will focus on helping its users learn to program using Python since Python Software Developers are among the most in-demand emerging professions. The application will implement Machine Learning algorithms to offer optimal scaffolding learning to students. This by implementing interactive and individualized content capable of adapting to the level of knowledge and learning pace of the users. Nevertheless, the positive effects of an intelligent learning system on the learning of its users depend directly on their level of engagement and motivation. An effective method to increase user engagement and motivation in learning applications is by using gamification. Unfortunately, gamifying an application does not ensure that it will motivate all its users, since the preference for game elements differs significantly between individuals. Therefore, to maximize the motivation of the users, this proposal seeks to leverage Recommendation Systems to personalize its game elements.

Coding Camp from A100%