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.

• Teacher Support: Provide AI-driven assistants to help educators generate materials, design tests, and manage classroom activities.

• Learning Analytics: Apply computer vision, natural language processing, and multimodal analysis to understand how students interact with content.

• Immersive Education: Integrate Virtual and Augmented Reality (VR/AR) with AI to build interactive and realistic learning experiences.

Technologies we use

• Large Language Models (LLMs) for content generation and intelligent tutoring.

• Deep Learning methods for adaptive learning and performance prediction.

• Multimodal datasets to analyze interactions across text, speech, vision, and behavior.

• VR/AR platforms for immersive educational scenarios.

Applications

• AI tutors that provide real-time guidance and personalized explanations.

• Automatic test and exam generation systems that evaluate both knowledge and confidence.

• Tools to support continuous training and professional development.

• Virtual classrooms and simulations for subjects such as science, engineering, and healthcare.

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.