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AI, Analytics, and Assessment in Higher Education

Hany Zaky (Eastern International College, USA)
Indexed In: SCOPUS
Release Date: September, 2025 | Copyright: © 2026 | Pages: 408
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798337370576
ISBN13 Softcover: 9798337370583
EISBN13: 9798337370590
DOI: 10.4018/979-8-3373-7057-6

Description:

Artificial intelligence (AI), analytics, and assessment transform higher education, offering new opportunities to enhance learning outcomes, streamline administrative processes, and personalize student experiences. As institutions face pressure to demonstrate effectiveness, improve retention, and support diverse learner needs, the integration of advanced data-driven tools becomes essential. AI and analytics provide insight into student performance and behavior, while assessment methods provide continuous measures of learning. Together, these technologies may reshape how educators design curriculum, evaluate progress, and support student success in digital academic environments.

AI, Analytics, and Assessment in Higher Education explores how AI and data analytics are leveraged to enhance assessment practices and decision-making in higher education. It examines their impact on teaching, learning, and institutional effectiveness, while addressing challenges like data privacy, bias, and ethics. This book covers topics such as educational technology, instructional design, and sustainable development, and is a useful resource for educators, engineers, academicians, researchers, and data scientists.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • ChatGPT
  • Competitive Advantage
  • Critical Thinking
  • Curriculum Development
  • Data Analysis
  • Educational Assessments
  • Educational Technology
  • Gamification
  • Higher Education
  • Instructional Design
  • Learning Management Systems
  • Sustainable Development

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This volume uniquely combines three essential yet often isolated fields—AI, analytics, and assessment—into a single framework. It highlights overlooked areas such as domain-specific AI applications (like G-Maritime for maritime education), immersive reality technologies for sustainability education, and people analytics to boost institutional competitiveness. The book connects theory with practice by including contributors from research universities, liberal arts colleges, community colleges, and educational technology groups, providing diverse insights seldom seen together. Additionally, it addresses emerging issues such as barriers to implementing formative assessment and the strategic use of Rasch analysis for accurate measurement.

– Hany Zaky (Eastern International College, USA)
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Dr. Hany Zaky is an international scholar. Dr. Zaky’s diverse teaching capacities have allowed him to work effectively with diverse linguistic learners. Throughout his career, Dr. Zaky has remained passionate about education, first as a middle and high school teacher and then as a university Professor. He has several publications in peer-reviewed journals and scholarly presentations at national and international conferences. He is an active member of several Adult Education TESOL and Composition studies organizations. His research interests include using technology to enhance Teacher Reflection, Action Research, Reflective Teaching, Educational Technology, Assessment and evaluation, Professional development for diversity, Culturally Responsive Pedagogy, and Language Teachers’ Identity.

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