Artificial Intelligence and the Redefinition of Higher Education
Saved in:
| Title: | Artificial Intelligence and the Redefinition of Higher Education |
|---|---|
| Language: | English |
| Authors: | Terry L. Howard, Gregory W. Ulferts |
| Source: | Research in Higher Education Journal. 2025 46. |
| Availability: | Academic and Business Research Institute. 147 Medjool Trail, Ponte Vedra, FL 32081. Tel: 904-435-4330; e-mail: editorial.staff@aabri.com; Web site: http://www.aabri.com |
| Peer Reviewed: | Y |
| Page Count: | 21 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Descriptive |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Higher Education, Computer Software, Policy Formation, Educational Change, Technology Integration, Research Reports, Educational Opportunities, Barriers, Intelligent Tutoring Systems, Case Studies, Foreign Countries, Teaching Methods, Educational Practices |
| Geographic Terms: | China, United States |
| ISSN: | 1941-3432 |
| Abstract: | Artificial Intelligence (AI) is profoundly reshaping higher education by introducing innovative tools and systems that enhance learning outcomes, streamline administrative processes, and address global educational challenges. This white paper examines AI's transformative impact on higher education, drawing on a comprehensive analysis of empirical research, case studies, and statistical data. Moreover, it emphasizes both the opportunities and challenges AI presents, offering actionable insights for stakeholders in academia, policy-making, and technology development. The adoption of AI in higher education is accelerating. According to Crompton and Burke (2023), the number of AI-focused studies surged significantly from 2021 to 2022, reflecting growing global interest in integrating AI into educational frameworks. Furthermore, Kuleto et al. (2021) highlighted how AI enhances student engagement through adaptive learning systems and intelligent tutoring platforms. Case studies from China and the U.S. demonstrate the potential of AI-driven tools to personalize education, improve assessment methodologies, and increase accessibility for diverse learner populations (Crompton & Burke, 2023). However, ethical considerations such as algorithmic bias, data privacy, and the potential marginalization of certain groups must be addressed to ensure equitable AI implementation (Batista et al., 2024). This paper identifies three core questions: How is higher education responding to AI? What are AI's immediate and long-term impacts? And what opportunities does it create for enhancing teaching, learning, and institutional processes? By exploring these questions, this white paper aims to provide a roadmap for integrating AI responsibly into higher education, balancing innovation with ethical stewardship. Thus, the findings underscore the need for collaborative efforts between educators, technologists, and policymakers. The effective use of AI can redefine higher education, fostering an ecosystem where learning is more personalized, equitable, and efficient (Lodge et al., 2023). This paper concludes by recommending strategies for leveraging AI's potential while mitigating its risks, ensuring it serves as a tool for progress rather than a source of disparity. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1478931 |
| Database: | ERIC |
| Abstract: | Artificial Intelligence (AI) is profoundly reshaping higher education by introducing innovative tools and systems that enhance learning outcomes, streamline administrative processes, and address global educational challenges. This white paper examines AI's transformative impact on higher education, drawing on a comprehensive analysis of empirical research, case studies, and statistical data. Moreover, it emphasizes both the opportunities and challenges AI presents, offering actionable insights for stakeholders in academia, policy-making, and technology development. The adoption of AI in higher education is accelerating. According to Crompton and Burke (2023), the number of AI-focused studies surged significantly from 2021 to 2022, reflecting growing global interest in integrating AI into educational frameworks. Furthermore, Kuleto et al. (2021) highlighted how AI enhances student engagement through adaptive learning systems and intelligent tutoring platforms. Case studies from China and the U.S. demonstrate the potential of AI-driven tools to personalize education, improve assessment methodologies, and increase accessibility for diverse learner populations (Crompton & Burke, 2023). However, ethical considerations such as algorithmic bias, data privacy, and the potential marginalization of certain groups must be addressed to ensure equitable AI implementation (Batista et al., 2024). This paper identifies three core questions: How is higher education responding to AI? What are AI's immediate and long-term impacts? And what opportunities does it create for enhancing teaching, learning, and institutional processes? By exploring these questions, this white paper aims to provide a roadmap for integrating AI responsibly into higher education, balancing innovation with ethical stewardship. Thus, the findings underscore the need for collaborative efforts between educators, technologists, and policymakers. The effective use of AI can redefine higher education, fostering an ecosystem where learning is more personalized, equitable, and efficient (Lodge et al., 2023). This paper concludes by recommending strategies for leveraging AI's potential while mitigating its risks, ensuring it serves as a tool for progress rather than a source of disparity. |
|---|---|
| ISSN: | 1941-3432 |
