Adaptation of assessment methods: the impact of artificial intelligence on educational practice

Ембергенова , Улмира

Lingvospektr · 2025-yil

Annotatsiya

This article focuses on the integration of artificial intelligence (hereinafter referred to as AI) with pedagogical practice, exploring ways to make education more effective. It also explores how AI is reshaping learning and knowledge acquisition strategies, particularly in the context of foreign language teaching. The article emphasizes the importance of reviewing current assessment methods to adapt to the impact of AI. Artificial intelligence technologies, along with the automation and personalization of educational processes, also create the need to adapt traditional approaches to assessing student activity. Assessment should not only recognize achievements but also serve as a motivational tool to stimulate students' growth and development. By focusing on positive reinforcement, students can stay in class and improve their language skills. Additionally, advances in computer-based assessment, such as the use of fuzzy logic systems and machine learning algorithms, are studied as methods for personalizing assessment experience and reinforcing feedback. These innovations demonstrate that AI has the potential to significantly improve assessment practices and create a more personalized and effective learning environment for students. Our conclusions show that while artificial intelligence has advantages in terms of automating the assessment process and personality orientation, its re-implementation requires careful consideration of students' and educational needs.

Maqola ma’lumotlari
MualliflarЕмбергенова , Улмира
JurnalLingvospektr
Nashr sanasi2025-03-01
Jild2
Son1
Betlar472-478
TilO‘zbek

Kalit so‘zlar

оценка, тест, искусственный интеллект, индивидуальное обучение, исследование., baholash, intellect, test, sun’iy intellect, individual ta’lim, tadqiqot., assessment, test, artificial intelligence, individual education, research.

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