A Generative Artificial Intelligence-Based Python Learning Assistance System: Assessing Its Impact on Instrument Automation Skills

In the era of generative AI (GAI), educational methodologies have undergone significant transformations, surpassing the traditional search engine-based approaches. Acknowledging the inevitable influence of GAI on students’ learning processes, a foundational Python programming course was developed to integrate GAI tools in a structured and supervised manner. This approach ensures effective learning while minimising misuse risks. Survey results indicated that over half of the students considered GAI tools as the most beneficial classroom resource, and compared to conventional course materials, 69% more students prefer GAI based tools. This emphasises the critical role of AI integration in enhancing educational outcomes. This paper presents empirical data from the course, highlighting the transfer of foundational Python programming skills to instrument automation design, supported by real-world example.