AN EFFECTIVE WAY FOR AI ENHANCED GAME BASED LEARNING

Abstract

In Today’s Modern World Game-Based Learning has emerged as a promising educational approach that leverages children's natural love for games to enhance their educational outcomes. As digital technologies become increasingly integrated into children's lives, understanding how game elements and game-based learning can be used for effective learning becomes critical. This research analyses the positive effects of game-based education which follows narrative-centered learning theory and problem-solving practices on academic achievement for children in school. This research presents the design and implementation of an AI-powered web-based system that presents the children with a diverse selection of educational games across multiple subjects, enabling them to select games aligned with their interests and academic needs.

The core innovation of our system lies in its integrated artificial intelligence (AI) module, which continuously monitors each child’s gameplay performance and learning progress and their weak areas. AI analyses this performance data from children to generate comprehensive and individualized reports for parents and teachers, highlighting strengths and weaknesses and areas for improvement, and their learning curve.

Based on these insights, the system recommends specific games to make children engage in their weaker subject areas, thereby personalizing the learning journey and supporting mastery-based progression. Initial assessment indicates that this method not only enhances student interest and enjoyment but also allows for more efficient and data-based interventions by teachers and parents.