Accreditation at the Intersection of AI and Assurance of Learning
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| Title: | Accreditation at the Intersection of AI and Assurance of Learning |
|---|---|
| Language: | English |
| Authors: | Muhammad Asif Qureshi, Zahid Hussain, Hind Hammouch, Rohit Bansal, Umair Ahm |
| Source: | IGI Global. 2025. |
| Availability: | IGI Global. 701 East Chocolate Avenue Suite 200, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; e-mail: cust@igi-global.com; Web site: http://www.igi-global.com/ |
| Peer Reviewed: | Y |
| Page Count: | 306 |
| Publication Date: | 2025 |
| Intended Audience: | Students; Practitioners |
| Document Type: | Book Collected Works - General |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, Higher Education, Accreditation (Institutions), Business Education, Curriculum, Benchmarking, Teacher Competencies, Readiness, Ethics, Technology Integration, Stakeholders, Feedback (Response) |
| DOI: | 10.4018/979-8-3373-6365-3 |
| ISBN: | 979-83-373-6365-3 |
| Abstract: | As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. "Accreditation at the Intersection of AI and Assurance of Learning" explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED680053 |
| Database: | ERIC |
| Abstract: | As AI continues to reshape higher education, its integration into the learning process transforms how institutions approach accreditation. AI tools can enhance the measurement, analysis, and improvement of student learning outcomes, offering deeper insights and more efficient evaluation methods. Accrediting bodies face the challenge of ensuring that these technologies are applied ethically and in alignment with educational standards. Enabling institutions to leverage AI's potential while upholding integrity and rigor that accreditation demands. "Accreditation at the Intersection of AI and Assurance of Learning" explores the intersection of AI in business education. This book aims to bridge the gap between educational technology and accreditation demands. Covering topics such as AI, business education, and learning outcomes, this book is an excellent resource for leading scholars, practitioners, and accreditation experts. |
|---|---|
| ISBN: | 979-83-373-6365-3 |
| DOI: | 10.4018/979-8-3373-6365-3 |
