Impact of Generative AI Tools on Diploma Engineering Students’ Learning Behaviour

Abstract: Generative Artificial Intelligence (AI) tools such as OpenAI ChatGPT, Google Gemini, and AI-powered coding assistants are increasingly being used by diploma engineering students for academic purposes. These tools help students in understanding concepts, writing assignments, solving programming problems, preparing presentations, and improving communication skills. This research paper analyzes the impact of Generative AI tools on the learning behavior of diploma engineering students. The study focuses on student dependency, conceptual understanding, productivity improvement, critical thinking, and academic ethics. Data can be collected through surveys and questionnaires from engineering students across different semesters. The research concludes that while Generative AI significantly improves learning efficiency and accessibility, excessive dependence may reduce analytical thinking and originality if not used responsibly.

Keywords: Generative AI, Engineering Education, Diploma Students, Learning Behavior, Artificial Intelligence in Education, Academic Performance, AI Ethics, Student Productivity