| Title: |
Towards Driving Systemic Change in Higher Education with Generative AI: What Have We Learned Thus Far? |
| Language: |
English |
| Authors: |
Alexandros Papaspyridis; Simon Bates |
| Source: |
Thresholds in Education. 2026 49(1):44-64. |
| Availability: |
Academy for Educational Studies. 2419 Berkeley Street, Springfield, MO 65804. Tel: 417-299-1560; e-mail: cqieeditors@gmail.com; Web site: http://academyforeducationalstudies.org |
| Peer Reviewed: |
Y |
| Page Count: |
21 |
| Publication Date: |
2026 |
| Document Type: |
Journal Articles; Reports - Evaluative |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Higher Education; Artificial Intelligence; Technology Uses in Education; Educational Change; Change Strategies; Technology Integration; Strategic Planning; Student Participation; Organizations (Groups); Universities |
| ISSN: |
0196-9641; 2381-5485 |
| Abstract: |
This article explores the potential of generative artificial intelligence (genAI) to catalyse innovation in higher education, emphasizing the current state of adoption together with systemic changes needed for successful integration. Despite the historical slow adoption of technological innovations within Higher Education, the sudden emergence of genAI tools like ChatGPT has significantly challenged traditional teaching, learning, and assessment paradigms. Through a survey of early adopters and the introduction of a novel Capability Maturity Model, this study identifies key challenges and opportunities in embedding genAI, focusing on academic integrity, pedagogical innovation, and the evolving roles of faculty and students. Institutions are encouraged to foster a culture of experimentation and continuous learning, supported by a framework for adoption and use. The active involvement of students as stakeholders and co-creators in the adoption process is emphasized to realize potential benefits. We suggest that a balanced approach, combining top-down strategic leadership with grassroots initiatives, is critical to harnessing genAI's full potential in enhancing educational quality. The article contributes to the ongoing discourse on digital transformation in higher education by outlining actionable pathways for institutions navigating the complexities of integrating genAI tools. |
| Abstractor: |
As Provided |
| Entry Date: |
2026 |
| Accession Number: |
EJ1504630 |
| Database: |
ERIC |