AI-assisted Learning for Electronic Engineering Courses in High Education

Abstract: This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT responses were assessed to gain valuable insights for further investigation. The objective is to assess ChatGPT's ability to provide insights, personalized support, and interactive learning experiences in engineering education. The study includes the evaluation and reflection of different stakeholders: students, lecturers, and engineers. The findings of this study shed light on the benefits and limitations of ChatGPT as an AI tool, paving the way for innovative learning approaches in technical disciplines. Furthermore, the study contributes to our understanding of how digital transformation is likely to unfold in the education sector. ChatGPT, Generative AI, Digital transformation, engineering education, tutorial design, peer-assisted learning, AI-assisted learning, integrated circuit education. School of Science, Engineering, and Technology, RMIT University Vietnam e-mail: thanh.pham@rmit.edu.vn 1 BACKGROUND There is a growing interest in using artificial intelligence (AI) to improve teaching and learning [1, 2]. Generative AI tools like ChatGPT understand and generate human-like responses in real-time [3].