Combatting academic dishonesty in online assessment Cover Image

Combatting academic dishonesty in online assessment
Combatting academic dishonesty in online assessment

Author(s): Diana Yankova
Subject(s): Social Sciences, Language and Literature Studies, Education, Higher Education
Published by: Нов български университет
Keywords: academic integrity; AI; online education; online assessment; assessment guidelines

Summary/Abstract: The article explores the importance of avoiding artificial intelligence (AI) misuse in university assignments, highlights the key considerations and strategies for devising effective assessment tasks in online education in order to create effective and authentic assessment tasks that circumvent the use of AI, and offers strategies to mitigate this problem. AI technologies, such as text generators, language models, and automated problem solvers, can assist students in completing assignments, sometimes to the point of undermining the purpose of assessment. The challenge lies in designing tasks that require genuine engagement and critical thinking from students, making it difficult for AI to replicate their efforts. This requires a shift towards assessments that emphasize originality, creativity, and the application of knowledge in unique contexts.

  • Issue Year: 12/2026
  • Issue No: 1
  • Page Range: 239-259
  • Page Count: 21
  • Language: English
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