Published March 1, 2026 | Version v1
Dataset Open

THE POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN ASSESSING STUDENTS' KNOWLEDGE

Authors/Creators

  • 1. O'zDJTU Senior Lecturer of the Department of Teaching English as a Second Foreign Language

Description

This article examines the possibilities of Artificial intelligence in assessing students’ knowledge within modern education systems. It highlights how AI technologies can automate test evaluation, analyze written assignments, provide personalized assessment, and ensure continuous monitoring of academic progress. The paper discusses the main advantages of AI-based assessment, including objectivity, efficiency, and time-saving benefits, as well as potential challenges such as technical limitations and data privacy concerns. The study concludes that artificial intelligence has significant potential to improve the quality, transparency, and fairness of student evaluation when implemented responsibly.

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Additional details

References

  • UNESCO. (2023). Artificial Intelligence in Education: Opportunities and Challenges. Paris: UNESCO Publishing.
  • Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. London: Pearson.
  • Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. doi:10.1109/ACCESS.2020.2988510
  • Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.
  • Zhang, J., & Wang, L. (2021). AI-Driven Learning Analytics for Personalized Education. Computers & Education, 173, 104276.