This paper presents an integration of Artificial Intelligence (AI) and prompt engineering tools into the undergraduate Electrical Engineering in Power Electronics course. It provides an analysis of students' preferences for learning from resources on semiconductor devices, converter theory, and their applications, with the objective of identifying effective resources that accommodate diverse learning needs.
The study explores how AI and prompt engineering impact student learning outcomes by examining a range of educational resources. It particularly highlights the role of prompt engineering in the field of power electronics through a review of various materials, including course textbooks, YouTube videos, Google AI, ChatGPT, and additional online educational sites. The findings suggest that emerging AI tools can significantly enhance engineering education, serving primarily as supplementary resources within a comprehensive teaching framework.
Among the three institutions examined, textbooks were identified as the primary learning resource, while YouTube offered valuable visual and explanatory content. ChatGPT was found to provide moderate assistance but did not replace formal instruction. Overall, the study underscores the necessity of structured guidance to help students effectively choose resources, craft impactful prompts, and critically assess technical information.
AI tools provide students with opportunities to enhance self-directed learning and tailor their educational experiences. However, the effectiveness of these tools is heavily reliant on student engagement. Without appropriate guidance, students may face challenges in navigating misleading information regarding complex power electronics concepts. This highlights the essential role of prompt engineering as a vital skill for effective learning. By equipping students to formulate precise, well-structured questions, educators can ensure that AI tools contribute positively to engineering education. Thoughtfully constructed prompts can foster critical thinking, prompting students to clarify their assumptions, evaluate alternatives, and validate their findings, ultimately deepening their conceptual understanding.
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