Post-Pandemic Support for Special Populations in Higher Education through Generative Artificial Intelligence

Whitney Lawrence, Patrese Nesbitt, Phillip H. Clay Jr.
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Abstract

The sudden closure of schools in response to the COVID-19 pandemic prompted education authorities to quickly explore new teaching and learning methods. This disruption to traditional classroom settings led to the implementation of innovative strategies that assist educators and students in developing abstract thinking skills. In the wake of the ongoing impact of the pandemic on education, one crucial innovative approach that educators should embrace is generative Artificial Intelligence (AI). Generative AI represents a significant transformation in the education sector, offering human-like content tailored to meet the individual needs of students, educators, and institutions. While the integration of generative AI post-pandemic is inevitable, this chapter highlights the myriad opportunities it presents for the education industry, particularly in terms of the strategies it provides for colleges and universities to recruit and engage diverse student populations through personalized instruction and equal access to opportunities. In the evolving landscape of post-pandemic education, technology that supports collaboration, critical thinking, and real-world educational connections is no longer considered a futuristic concept. While educational practices continue to evolve, the substantial entry of generative artificial intelligence into education is both distinct and unavoidable. With technological advancements come questions of digital equity and effective implementation. This chapter underscores how generative artificial intelligence can bridge these gaps by creating customized learning experiences that benefit educators and enhance access to knowledge. The emergence of generative artificial intelligence as a technological support tool is poised to bring about significant changes in education. Generative AI has the potential to drive the necessary shift towards personalized instruction and meaningful student interactions. This chapter seeks to provide a comprehensive overview of the importance of exploring generative AI strategies as the education sector grapples with the repercussions of the COVID-19 pandemic. It presents insights into current and future opportunities offered by generative artificial intelligence to support innovative teaching practices, foster equitable growth, and facilitate the transition to educational systems on a global scale.
通过生成式人工智能为高等教育中的特殊人群提供大流行后支持
因 COVID-19 大流行而突然关闭学校,促使教育当局迅速探索新的教学方法。这种对传统课堂环境的破坏导致了创新战略的实施,以帮助教育工作者和学生发展抽象思维能力。在大流行病对教育产生持续影响之后,教育工作者应该采用的一个重要创新方法是生成式人工智能(AI)。生成式人工智能代表着教育领域的一次重大变革,它可提供类似人类的内容,以满足学生、教育工作者和机构的个性化需求。虽然大流行后生成式人工智能的整合不可避免,但本章强调了它为教育行业带来的无数机遇,特别是它为高校提供的通过个性化教学和平等机会招募和吸引不同学生群体的战略。在不断发展的后流行教育中,支持协作、批判性思维和现实世界教育联系的技术不再被视为未来概念。在教育实践不断发展的同时,生成式人工智能大量进入教育领域既是显而易见的,也是不可避免的。随着技术的进步,数字公平和有效实施的问题也随之而来。本章强调了生成式人工智能如何通过创造有益于教育工作者的定制化学习体验来弥合这些差距,并提高获取知识的能力。作为一种技术支持工具,生成式人工智能的出现将为教育带来重大变革。生成式人工智能有可能推动向个性化教学和有意义的学生互动的必要转变。本章旨在全面概述在教育部门努力应对 COVID-19 大流行的影响时,探索生成式人工智能战略的重要性。本章深入探讨了生成式人工智能为支持创新教学实践、促进公平发展和推动全球教育系统过渡所提供的当前和未来机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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