AI Technologies in Engineering Education

Author:

Saeed Mamoon M. A.1ORCID,Saeed Rashid A.2ORCID,Ahmed Zeinab E.3ORCID,Gaid AbdulGuddoos S. A.4ORCID,Mokhtar Rania A.2ORCID

Affiliation:

1. Department of Communications and Electronics Engineering, Faculty of Engineering, University of Modern Sciences, Yemen

2. College of Computers and Information Technology, Taif University, Saudi Arabia

3. Department of Computer Engineering, University of Gezira, Sudan & Department of Electrical and Computer Engineering, International Islamic University Malaysia, Malaysia

4. Faculty of Engineering and Information Technology Taiz University, Yemen

Abstract

The chapter investigates how artificial intelligence (AI) technologies are incorporated into engineering education and looks at how they affect methods of instruction and learning. An overview of the many uses of AI in engineering education is given, including data analytics, intelligent tutoring systems, adaptive learning platforms, virtual laboratories, and robotics training made possible by AI. The chapter explores how AI may improve the engineering curriculum by addressing market demands and future skills, integrating AI tools and software, and introducing AI concepts into coursework. It also discusses performance monitoring, intelligent feedback, automated grading, competency assessment in engineering education, and AI-assisted assessment and feedback systems. The chapter also looks at how AI affects engineering education, including using augmented and virtual reality, flipped classrooms, personalized learning, and collaborative learning.

Publisher

IGI Global

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