ADAPTIVE ASSESSMENT OF COMPUTER SCIENCE KNOWLEDGE BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Sagimbayeva Ainur Yesengazievna Doctor of Pedagogy of the Department of Informatics and Informatization of Education at the Institute of Mathematics, Physics and Informatics, Abai Kazakh National Pedagogical University
  • Sydykzhan Inzhu Master's degree student of the Department of Computer Science, Kazakh National Women's Teacher Training University, Almaty

Keywords:

adaptive knowledge assessment, artificial intelligence, education, individualization, feedback, personalization, testing, analysis of written answers, virtual environments, effective learning

Abstract

The article explores the application of adaptive knowledge assessment using artificial intelligence in education. Adaptive knowledge assessment based on individualization and feedback is a promising development direction that allows you to more accurately measure learning outcomes and adapt the learning process to the needs of each student. The use of artificial intelligence in adaptive knowledge assessment ensures the creation of personalized tests and the analysis of students' written responses, contributing to more effective and individualized learning.

Published

2024-02-05

How to Cite

Sagimbayeva Ainur Yesengazievna, & Sydykzhan Inzhu. (2024). ADAPTIVE ASSESSMENT OF COMPUTER SCIENCE KNOWLEDGE BASED ON ARTIFICIAL INTELLIGENCE. Reviews of Modern Science, (5). Retrieved from https://ojs.scipub.de/index.php/RMS/article/view/2929

Issue

No. 5 (2024): Reviews of Modern Science

Section

Pedagogical Sciences

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.