Novel Pedagogical Games Powered by Large Language Models for Computer Science Education
Gamification is a popular pedagogical approach in computer science education, and advances in large language models (LLMs) enable dynamic and engaging learning experiences. Storytelling is an age- old practice in which narratives, anecdotes, and experiences are shared in an engaging way. Storytelling in education can be used to convey learning objectives in entertaining ways, helping student engagement and retention of content. With the use of (LLMs), both games and stories can be dynamically customized to t a student’s learning needs. In this PhD dissertation work, gamification and storytelling are being studied alongside artificial intelligence (AI) in an effort to create educational games and tools that will encourage and motivate students to learn. Currently, three different educational games have been created, each involving LLMs and some gamified elements. Then each game was piloted to students for a period of time, followed by an examination of student usage and student feedback. Each study resulted in qualitative and quantitative data that had promising implications. The results suggest that generative AI and the use of games and storytelling can enhance engagement and learning. Future improvements focus on more intuitive user interfaces and interactive and visual stories to increase participation and impact.
