Artificial Intelligence in Education
Yeprem Gerdabad, Sonya, School of Engineering and Applied Science, University of Virginia
Earle, Joshua, EN-Engineering and Society, University of Virginia
Vrugtman, Rosanne, EN-Comp Science Dept, University of Virginia
For many years, all that was needed to become a tutor was some knowledge of the subject and teaching ability. This is no longer enough as technology advances at a rapid pace. Tutoring now requires computer science skills to use artificial intelligence tools to aid students' education. Although AI has been in existence for quite some time, it is only very recently that this technology has found its way into the world of education. Moreover, education worldwide encounters various challenges when embracing new technologies in their traditional setups. Vision fields like Artificial Intelligence (AI) were bank on to transform education by submitting digitally customized learning systems. Today, as technological developments explore the potential on a broad scale, the field of education is attracting innovative thinkers and sparking many new questions.
In addition to being a fantastic technological domain, Artificial Intelligence (AI) is starting to alter how individuals socialize. Applied to academia, AI has made new teaching and learning methods, which are currently being tested in various settings at this time. The urgency of addressing digital and social inequalities means that artificial intelligence should be a top-tier development priority. Furthermore, it has become a prevalent aspect of education in countries worldwide. The goal of this study is to show multiple ways to be educated within the context of Sustainable Development Goals (STG), which aims to improve education and lifelong learning worldwide. It aimed to help you understand the dynamics that arise when AI is introduced into educational spaces so that educational policymakers can adequately respond to challenges they may face in the future.
The STS paper introduces past analysis on how AI technology can improve educational equity and quality in the developing world. It explores various ways augmented reality, and AI technologies can help educators solve educational issues characteristic of developing countries, such as unequal access to technology and educational funding. It also outlines four adversities associated with the global and local discussion of the challenges and opportunities related to introducing AI in education and preparing students for an AI-powered future. Finally, the document concludes with an open invitation to discuss the possibilities of AI, its implications, and risks in the fields of education for sustainable development and the work environment.
In addition, the Technical Paper describes various approaches to redesigning educational programs to prepare students for the changing environment in which AI is likely to play an increasingly crucial role. It will also talk about how the creation of new technologies in emergent technologies, such as AI, will necessitate the development of new digital skills. In this context, I will also talk about development of a frameworks that will teach students and teachers and consider examples of new trends from other countries. Since the goal of digital intelligence is to reveal the power of digital competencies to analyze, use and decode Artificial Intelligence as a progressive technology, we must necessarily examine in a social context to understand its scope, limits, potential, and pitfalls.
BS (Bachelor of Science)
Education, Artificial Intelligence, AI
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Rosanne Vrugtman
STS Advisor: Joshua Earle