Integrating artificial intelligence into interdisciplinary technology courses to explore sophomores’ effectiveness of problem-based learning

Artificial intelligence (AI) is integrated into the interdisciplinary technology course to explore sophomores’ effectiveness of problem-based learning (PBL). This study aims to evaluate their performance in subject learning and understand their problem-solving abilities so that teaching becomes more diverse and learning becomes more meaningful. Based on this, this study designs teaching materials for applying AI in interdisciplinary technology and PBL as a teaching method to explore their performance in integrating AI into PBL (AI-PBL). The research results show the following three points: (1) teaching material construction is conducive to the formation of conceptualization, training reasoning ability, knowledge development and accumulation of subject knowledge, (2) effective auxiliary tools can help students explore problems, demonstrate problem-solving skills and cultivate reasoning ability, and (3) students can participate in and practice this immersive activity more meaningfully, enriching their learning content and broadening learning horizons. In summary, this study found that the AI-PBL immersive teaching method has positive learning effectiveness in supporting the practical solution of AI situational problems.