Document Type
Book Chapter
Publication Title
Accountability in Higher Education: Navigating Current Issues and Trends
Abstract
Artificial Intelligence (AI) is transforming higher education accreditation by enhancing quality assurance, accessibility, and inclusion. Traditional accreditation relies on manual evaluation, but AI- driven tools improve efficiency through realtime data analysis, predictive insights, and automation. This chapter explores AI’s role in adaptive learning, automated accessibility tools, and predictive analytics for student success, with a focus on supporting students with disabilities and ensuring compliance with accessibility standards. Ethical concerns, including bias, privacy, and transparency, are addressed to ensure AI complements human judgment. Through case studies and policy recommendations, this chapter provides a roadmap for institutions and accrediting bodies to integrate AI responsibly, balancing innovation with accountability to uphold educational quality and equity.
First Page
269
Last Page
306
DOI
10.4018/979-8-3693-7708-6.ch010
Publication Date
3-2025
ISBN
9798369377086
Recommended Citation
Singleton, Jacques D., "Artificial Intelligence in Higher Education Accreditation: Advancing Quality, Accessibility, and Special Education Inclusion" (2025). Teacher Education Faculty Publications. 10.
https://arch.astate.edu/ebs-tedu-facpub/10
