Artificial Intelligence for Inclusive Engineering Education: Advancing Equality, Diversity, and Ethical Leadership

TL;DR

This paper discusses how AI-driven adaptive learning platforms can promote equity, diversity, and ethical leadership in engineering education, aligning with UN sustainability goals and addressing global inclusion gaps.

Contribution

It introduces an ethical AI framework for promoting inclusivity and equity in engineering education, integrating sustainability and critical case studies worldwide.

Findings

AI increases inclusivity in STEM education

AI promotes gender and cultural diversity

AI supports global education transformation

Abstract

AI technology development has transformed the field of engineering education with its adaptivity-driven, data-based, and ethical-led learning platforms that promote equity, diversity, and inclusivity. But with so much progress being made in so many areas, there are unfortunately gaps in gender equity, representation in cultures around the world, and access to education and jobs in stem education. The paper describes an ethical approach to using AI technology that supports the United Nations 2030 agenda for sustainability. In particular, this includes both Goal 5--Gender Equity--and Goal 10--Reducing Inequalities. Based on a synthesis strategy using both critical thinking strategies related to case studies around the world using AI-based adaptivity platforms to address equity gaps related to education inclusion. The model presented offers a synthesis solution that includes ethical leadership data-related to equity to measure inclusivity based upon sustainability thinking. The result has demonstrated that using AI technology not only increases inclusivity but promotes equity related to access to education in stem education access. Finally, there are concluding remarks related to transforming education into a global system.