Natural Language-Driven AI Programming: Exploring a Gamified Learning Method with Broad Application Potential

Abstract

Rapidly developing AI programming tools provide a new possible way for gamified learning. Users can input prompts to AI programming tools to edit games. Owing to the current limitations of AI abilities, it is unfeasible to edit games with high complexity. However, generative AI tools empower individual to engage in programming by lowering technical barriers, which facilitates a broad range of opportunities for individuals lacking programming expertise to create and modify educational video games. Such applications can similarly foster education equity.[1]In this paper, we present a new approach through the Rosebud AI platform employing AI programming to design an interactive scenario-based game to simulate the application scenarios of medical laws. In comparing the traditional teaching (n=100) to gamified teaching (n=101), the gamified teaching proved more effective in stimulating students' activity (t=4.87, p<0.01, d=0.69), knowledge comprehension (t=5.34, p<0.01, d=0.75), and learning motivation (t=4.96, p<0.01, d=0.70).Experiments show that the use of AI programming tools in education of law has great application value, which can effectively improve students' cognitive and application ability.