Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

ON A HYBRID MODEL FOR ASSESSING HIGHER EDUCATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Karapetyan K. O.  (MIREA — Russian Technological University (RTU MIREA, Moscow))

Nikonov V. V.  (PhD in Engineering, Associate Professor, MIREA — Russian Technological University (RTU MIREA, Moscow))

This paper analyzes the key psychometric and pedagogical characteristics of intelligent assessment systems: reliability, validity, and the feasibility of their use in the academic environment. A review of current research demonstrates that AI systems exhibit high internal consistency and correlation with expert assessments, particularly when assessing structured tasks. However, significant challenges remain related to contextual understanding, cultural bias, and ethical transparency. A hybrid assessment model is proposed that combines the algorithmic effectiveness of AI with the cognitive and ethical responsibility of teachers.

Keywords:Artificial intelligence, assessment automation, higher education, reliability, validity, appropriateness, natural language processing, educational ethics, formative assessment
 

Read the full article …

Citation link:
Karapetyan K. O., Nikonov V. V. ON A HYBRID MODEL FOR ASSESSING HIGHER EDUCATION USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 99-102 DOI 10.37882/2223-2966.2026.01.18
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences