AI applied to education
AI applied to education
The ROVIT Research Group explores how Artificial Intelligence (AI) can transform education by creating innovative tools that improve teaching, learning, and assessment. We focus on developing intelligent systems that adapt to learners’ needs, provide meaningful feedback, and support teachers in designing engaging and inclusive learning environments.
Research Objectives
Personalized Learning
Use AI to adapt content, pace, and activities to the needs of each learner.
Assessment and Feedback
Develop intelligent systems for automated assessment, confidence-based marking, and formative feedback.
Immersive Education
Integrate Virtual and Augmented Reality (VR/AR) with AI to build interactive and realistic learning experiences.
Learning Analytics
Apply computer vision, natural language processing, and multimodal analysis to understand how students interact with content.
Technologies We Use
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Large Language Models (LLMs) for content generation and intelligent tutoring.
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Multimodal datasets to analyze interactions across text, speech, vision, and behavior.
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Deep Learning methods for adaptive learning and performance prediction.
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VR/AR platforms for immersive educational scenarios.
Applications
Impact
Our work contributes to creating more inclusive, efficient, and engaging education systems. By leveraging AI, we aim to reduce barriers to learning, support teachers in their daily work, and empower students to achieve their full potential.
