Accreditation at the Intersection of AI and Assurance of Learning

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Bibliographic Details
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
FullText Text:
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  Data: Accreditation at the Intersection of AI and Assurance of Learning
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  Data: <searchLink fieldCode="AR" term="%22Muhammad+Asif+Qureshi%22">Muhammad Asif Qureshi</searchLink><br /><searchLink fieldCode="AR" term="%22Zahid+Hussain%22">Zahid Hussain</searchLink><br /><searchLink fieldCode="AR" term="%22Hind+Hammouch%22">Hind Hammouch</searchLink><br /><searchLink fieldCode="AR" term="%22Rohit+Bansal%22">Rohit Bansal</searchLink><br /><searchLink fieldCode="AR" term="%22Umair+Ahm%22">Umair Ahm</searchLink>
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  Data: 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/
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  Data: 306
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  Data: Students; Practitioners
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  Data: 10.4018/979-8-3373-6365-3
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  Data: 979-83-373-6365-3
– Name: Abstract
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  Data: 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.
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  Data: 2026
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  Data: ED680053
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED680053
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      – Text: English
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        PageCount: 306
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Accreditation (Institutions)
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      – SubjectFull: Business Education
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      – SubjectFull: Curriculum
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      – SubjectFull: Benchmarking
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      – SubjectFull: Teacher Competencies
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      – SubjectFull: Readiness
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      – SubjectFull: Ethics
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      – SubjectFull: Technology Integration
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      – SubjectFull: Stakeholders
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      – SubjectFull: Feedback (Response)
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      – TitleFull: Accreditation at the Intersection of AI and Assurance of Learning
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