AI That Watches and Adapts: Tashenеv University Research Explores Computer Vision for STEM Self-Learning
In a Q3 publication in the International Journal of Advanced Computer Science & Applications (CiteScore 2.3), Venera Nakhipova of Tashenеv University presents a novel study on using computer vision and machine learning techniques to support students' independent learning in STEM education.
The system leverages a webcam and intelligent software to:
· Monitor students’ focus and engagement levels;
· Detect signs of distraction or fatigue;
· Dynamically adjust learning materials and task difficulty in real time.
Key results:
· Improved concentration during self-study sessions;
· Faster task completion and better understanding of complex topics;
· Real-time feedback without needing teacher intervention.
This approach is especially useful for distance learning, tutoring systems, and personalized education platforms. It reflects the growing role of AI in education, helping students learn smarter, not harder.
International Journal of Advanced Computer Science & Applications. – 2024. – Vol. 15. – №1. Р.819-827(Citescore 2023-2.3; Q3, 43 persentile)
