AI-assisted Learning for Electronic Engineering Courses in High
Education
- URL: http://arxiv.org/abs/2311.01048v1
- Date: Thu, 2 Nov 2023 07:48:10 GMT
- Title: AI-assisted Learning for Electronic Engineering Courses in High
Education
- Authors: Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy
Nguyen, Thanh Pham
- Abstract summary: 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.
- Score: 2.67766280323297
- License: http://creativecommons.org/licenses/by/4.0/
- 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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