학술논문

Introduction to AI in Undergraduate Engineering Education
Document Type
Conference
Source
2023 IEEE Frontiers in Education Conference (FIE) Frontiers in Education Conference (FIE), 2023 IEEE. :1-4 Oct, 2023
Subject
Engineering Profession
General Topics for Engineers
Resistance
Technological innovation
Navigation
Learning (artificial intelligence)
Electrical resistance measurement
Cultural differences
Artificial intelligence
Artificial Intelligence
Education
Machine learning
Undergraduate
Language
ISSN
2377-634X
Abstract
Addressing the interdisciplinary challenges of teaching artificial intelligence in higher education while embracing and comprehending diverse backgrounds, promoting inclusivity and diversity, and reducing socioeconomic barriers are crucial for creating a learning environment that can equip students with the necessary skills and knowledge to navigate the complexities of the field and drive innovation in the rapidly evolving world of artificial intelligence. In order to undertake this challenge, the present work proposes a general introductory course to artificial intelligence in the early semesters of the bachelor's degree, without any tendencies on the specificity of the problems to solve. Prior to this dissemination, authors have pilot-tested the introductory lesson. This paper presents the findings of this pilot and proposes a new approach to diversifying the pool of students who can benefit from an intro course in AI. We expect the FIE audience to provide us feedback on the best strategy to follow for implementation which is expected to occur during Spring or Fall of 2024.