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Automated evaluation techniques and AI-enhanced methods

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Abstract

The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes in higher education. They cover real-time feedback mechanisms, AI-driven practices, and evaluation of AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing higher education by providing personalized grading criteria, analyzing student data, and adjusting assessment criteria to accommodate diverse learning styles. This approach promotes student engagement, fairness, and equity, enabling educators to tailor teaching strategies and address learning gaps. The chapter emphasizes faculty training and AI-driven enhanced methods.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1-27 (27 pages)

Publication milestones

  • Published - 06/05/2024

Publication status

Published - 06/05/2024

Publisher

IGI Global Scientific Publishing, United States

ISBN (Print)

9798369321454

ISBN (Electronic)

9798369321461

External Publication IDs

  • handle.net: 10547/626834
  • Scopus: 85193677021

Host publication title

Utilizing AI for Assessment, Grading, and Feedback in Higher Education

Host publication editors

  • Nasser Hamed Al Harrasi
  • Mohamed Salah El Din

Access to documents

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