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Synapse
March 21, 2026International Journal of Innovation in Education0 citations

Generative AI and assessment in higher education: opportunities and challenges

MAMohamed AtefAHAsmaa Hosni

Key Points

  • This research aims to understand how generative AI impacts assessment practices in higher education.
  • Review of existing literature on generative AI applications in education
  • Analysis of benefits and limitations for assessment methods
  • Discussion of potential future trends in educational assessment
  • Identified various opportunities for enhancing assessment quality through generative AI
  • Highlighted significant challenges related to fairness and accuracy in evaluations
  • Suggested frameworks for integrating AI-based tools in educational systems

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Atef et al. (2026) studied this question.

synapsesocial.com/papers/69be38ee6e48c4981c679aadhttps://doi.org/10.1504/ijiie.2026.10077136
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Learning success in the era of generative AI: a new paradigm and theoretical model for education technology2026 · 1 citations
  2. 2Understanding AI-assisted creativity: student adoption and creative engagement2026
  3. 3Generative AI as a Catalyst for Intelligent Information Service Empowerment in University Libraries2026
  4. 4Faculty adoption of generative AI in higher education: evidence from ChatGPT use in an emerging market2026
  5. 5Examining university students addiction toward generative AI: an I-PACE perspective2026