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Revolutionizing Engineering Education: The Impact of AI Tools on Student Learning

作者
Sofia M. Vidalis,Rajarajan Subramanian,Fazil Najafi
出处
期刊:2011 ASEE Annual Conference & Exposition 被引量:6
标识
DOI:10.18260/1-2--47950
摘要

The rapid advancement of artificial intelligence (AI) has led to the integration of chatbots like ChatGPT or Chat AI into various sectors, including education.This study investigates the impact of many AI tools in engineering education, focusing on their potential to enhance learning outcomes and improve student engagement.The integration of AI tools has the potential to significantly impact student learning, bridging the gap between theoretical knowledge and practical application.This paper explores the impact of AI tools on student learning in engineering education, particularly in civil engineering.AI tools offer numerous benefits in engineering education, providing students with interactive and immersive learning experiences.These tools enable students to apply their theoretical knowledge in real-world scenarios, enhancing their understanding and problem-solving skills.A survey was distributed to engineering students in civil engineering courses to gather feedback on the effectiveness of using AI tools, allowing for continuous improvement and customization to meet individual student needs.Through the data collected from the student survey, educators can gain insights into the specific areas where AI tools have positively impacted student learning.This information can guide curriculum development, ensuring that the incorporation of AI tools aligns with the desired learning outcomes.Furthermore, the student survey will provide vital feedback on areas where improvements are needed, allowing educators to address any challenges the students face in utilizing AI tools effectively.Question 4 Among students who utilized AI tools in their studies, chatbots emerged as the most common application.Students reported using AI for:  Enhanced Topic Comprehension: AI tools were perceived as helpful in understanding complex topics more effectively. Improved Classroom Learning: Students felt that AI could supplement and potentially enhance traditional classroom learning experiences. Problem-Solving Support: AI tools were seen as valuable aids in tackling challenging problems. Writing Assistance: Students appreciated the potential of AI to assist with writing tasks.However, students also acknowledged limitations in the current capabilities of AI tools:  Limited Problem-Solving Scope: Students felt that AI tools still require significant development to fully address their problem-solving needs in engineering. Design Opportunities: Students perceived limitations in AI's ability to provide comprehensive design support. Project Feasibility Assessment: Concerns were raised regarding the effectiveness of AI in accurately assessing the feasibility of engineering projects. Limited Impact on Class Comprehension: Only 22% of students reported that AI tools significantly influenced their understanding of engineering concepts taught in class.This suggests that traditional classroom lectures remain the primary source of knowledge acquisition for many students.

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