Impact of AI-generated curricula based on industry needs on students' motivation

This article explores the impact of AI-generated curricula tailored to industry needs on student motivation and engagement in higher education. By applying Self-Determination Theory (SDT), the study assesses how AI-driven educational tools influence students' psychological needs for autonomy, competence, and relatedness. The research employs a quantitative methodology, surveying undergraduate, master's, and doctoral students on their satisfaction with current curricula and their perceptions of AI's potential role in curriculum design. The findings reveal that students, particularly at the bachelor's and master's levels, are not fully satisfied with their curriculum's alignment with job market needs. This dissatisfaction indicates a desire for more personalized, industry-oriented educational pathways. The article argues that AI-generated curricula could address these gaps by offering dynamic, individualized learning experiences that foster intrinsic and extrinsic motivation. The study concludes that implementing AI in curriculum design has the potential to enhance student engagement and better prepare students for future careers, provided it is thoughtfully integrated with pedagogical strategies.