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AI and personalised grading criteria

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

Abstract

The chapters discuss the potential of artificial intelligence (AI) in transforming higher education assessment, grading, and feedback processes, enabling personalized interventions, data analysis, and deeper insights into student performance. The chapter discusses the significance of real-time learning in higher education, focusing on virtual teaching platforms and AI-powered assessment methodologies. It evaluates AI-based assessments, machine learning algorithms, and natural language processing techniques.

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 85-113 (29 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

Publication IDs

  • handle.net: 10547/626833
  • Scopus: 85193677855

Host publication title

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

Host publication editors

  • Nasser Hamed Al Harrasi
  • Mohamed Salah El Din

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