AI-assisted Learning for Electronic Engineering Courses in High Education
Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy, Nguyen, Thanh Pham

TL;DR
This paper evaluates ChatGPT's effectiveness as an AI support tool in higher education electronic engineering courses, focusing on its ability to enhance learning, provide insights, and support personalized and interactive education.
Contribution
It offers a comprehensive assessment of ChatGPT's capabilities and limitations in engineering education, contributing to understanding AI's role in digital transformation in academia.
Findings
ChatGPT provides valuable insights and personalized support for students.
Limitations include occasional inaccuracies and lack of deep understanding.
The study highlights potential for AI to innovate technical 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.
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Online Learning and Analytics
