THE USE OF ARTIFICIAL INTELLIGENCE IN ASSESSING STUDENTS’ PERFORMANCE

Авторы

  • Shakhnoza Tukhtaeva Associate Professor of the Department of Foreign Languages and Humanities “Cyber University” state university Автор

Ключевые слова:

Artificial Intelligence, student assessment, digital education, automated grading, feedback, academic performance, educational technology, AI tools.

Аннотация

This article examines the role of Artificial Intelligence (AI) technologies in assessing students’ academic performance in modern education. Nowadays, digital technologies are increasingly integrated into teaching and assessment processes to improve effectiveness, objectivity, and time management. AI-based assessment tools help teachers evaluate students’ assignments, tests, presentations, and writing tasks more accurately and efficiently. The article highlights the advantages of using AI platforms such as ChatGPT, Grammarly and Google Classroom in educational assessment. Furthermore, it discusses how AI technologies provide instant feedback, reduce teachers’ workload, support fair grading systems, and enhance students’ motivation and self-learning skills.

Библиографические ссылки

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.

Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL Institute of Education Press.

Hockly, N. (2012). Digital Literacies. ELT Journal, 66(1), 108–112.

Richards, J. C. (2015). The Changing Face of Language Learning: Learning Beyond the Classroom. RELC Journal.

Holmes, W. & Tuomi, I. (2022). State of the Art and Practice in AI in Education. European Journal of Education.

Опубликован

2026-05-15

Выпуск

Раздел

Статьи

Как цитировать

Tukhtaeva, S. (2026). THE USE OF ARTIFICIAL INTELLIGENCE IN ASSESSING STUDENTS’ PERFORMANCE. Молодые ученые, 4(45), 120-121. https://www.in-academy.uz/index.php/YO/article/view/41544
Innovative Academy RSC
Article metrics Views and PDF downloads
1 Views
0 Downloads