Exploring how generative AI contributes to the motivated engagement and learning production of science-oriented students

Generative AI is transforming the educational landscape by offering new ways for students and educators to engage in personalized, adaptive learning. Unlike traditional tools, generative AI enables students to access a vast repository of information, interact with content in real-time, and generate responses, which collectively support individualized learning pathways. This study explored the role of generative AI, particularly ChatGPT, in students’ self-directed learning (SDL) process. College students (n=15) from science-oriented programs were purposively sampled to be interviewed. Findings revealed that students used AI to enhance efficiency in completing tasks, generate content, and engage in deeper learning experiences. Students reported that AI tools, such as ChatGPT, helped break down complex subjects, provided instant feedback, and allowed them to manage learning at their own pace. These features supported autonomy, motivation, and competence, core components of SDL, by enabling students to make independent learning choices and confidently tackle challenging content. Student narratives illustrated how generative AI aided in organizing study material, understanding science topics, and even learning to troubleshoot code, which supported mastery of complex science program skills. The findings also suggested that AI tools contributed to active learning, as students engaged more meaningfully with content, enhancing their analytical and problem-solving abilities. The integration of generative AI in education may shape future pedagogical approaches, enabling educators to promote personalized and adaptive learning environments that support students' intrinsic motivation, SDL, and critical thinking.