AI-BASED SYSTEMS FOR MONITORING STUDENTS’ PSYCHOLOGICAL STATES

ORIGINAL SOURCE
Originally published in International conference on multidisciplinary science; Vol. 3 No. 10 (2025): International conference on multidisciplinary science; 184-187.

Iskandarova, Ziyoda and Musayeva, Shaxlo (2025) AI-BASED SYSTEMS FOR MONITORING STUDENTS’ PSYCHOLOGICAL STATES. International conference on multidisciplinary science; Vol. 3 No. 10 (2025): International conference on multidisciplinary science; 184-187.

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Abstract

This article explores the use of artificial intelligence technologies for monitoring and analyzing students' psychological states. In recent years, assessing students' emotional well-being, motivation, and stress levels has become increasingly important in the educational process. The study examines AI-based approaches for identifying psychological patterns, providing timely interventions, and supporting students’ overall mental health and academic performance.

Item Type: Article
Additional Information: Imported from International conference on multidisciplinary science (MJST)
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 29 Sep 2026 22:06
Last Modified: 29 Sep 2026 22:06
URI: https://universalpublishings.uz/id/eprint/18110

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