THE ROLE OF ARTIFICIAL INTELLIGENCE IN ASSESSING SPEAKING

Authors

  • Musulmonova Sug'diyona English Language Teacher Author
  • Abdullayeva Sevara English Language Teacher Author

Keywords:

artificial intelligence, speaking assessment, language testing, ASR, NLP, automated scoring.

Abstract

The emergence of Artificial Intelligence (AI) has transformed language learning and assessment, particularly in evaluating speaking skills, one of the most complex and dynamic components of language proficiency. Traditional human-based assessments often lack consistency and scalability, whereas AI-powered systems offer automated, data-driven evaluations that are increasingly sophisticated. This paper explores how AI technologies especially Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Machine Learning (ML)—are employed to assess speaking. It evaluates the benefits, challenges, and ethical implications of AI use in this context and underscores the importance of combining AI with human expertise to ensure fairness, cultural sensitivity, and pedagogical relevance.

References

1. Burstein, J., Chodorow, M., & Leacock, C. (2013). Automated Essay Evaluation: The

2. Criterion Online Writing Service. AI Magazine, 34(1), 27–36.

3. Chung, J. (2021). Artificial Intelligence in Language Education: Benefits and Ethical Challenges. Language Learning Journal, 49(3), 314–326.

4. Duolingo. (2022). Duolingo English Test Research. Retrieved from

5. https://englishtest.duolingo.com/research

6. Hardy, Q., & Thompson, M. (2020). AI and Global Education Equity. International Review of Education, 66(2-3), 193–210.

Downloads

Published

25.06.2025

How to Cite

THE ROLE OF ARTIFICIAL INTELLIGENCE IN ASSESSING SPEAKING. (2025). Journal of Uzbekistan’s Development and Research, 1(5), 249-250. https://ijournal.uz/index.php/judr/article/view/2488

Similar Articles

11-20 of 58

You may also start an advanced similarity search for this article.