Generative AI as a Virtual Tutor: Improving Learning for Undergraduates

Authors:

Ms M. Maneesha, Ch Vaishnavi

Assistant Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India mmaneeshacse@smec.ac.in

2Student, Department of Computer Science and Engineering, St. Martin’s Engineering College, Hyderabad, India vaishnavipyd6@gmail.com

Abstract: The rapid advancement of artificial intelligence technologies has significantly transformed the educational landscape, particularly in higher education. Generative Artificial Intelligence (AI) has emerged as a powerful tool capable of producing human-like text, providing explanations, and supporting interactive learning experiences. These capabilities offer new opportunities to enhance undergraduate education through intelligent and personalized tutoring systems. However, traditional learning methods and digital tools often fail to address individual learning needs, provide instant feedback, and adapt to diverse student learning styles.

To address these challenges, this study proposes the use of Generative AI as a virtual tutor to improve learning outcomes for undergraduate students. Advanced AI models such as ChatGPT utilize transformer-based architectures and self-attention mechanisms to understand context, generate meaningful responses, and provide step-by-step explanations. These systems are capable of delivering personalized learning support, assisting with concept clarification, and guiding students through problem-solving processes in real time.

In this research, educational content and student queries are processed using Generative AI techniques to simulate interactive tutoring environments. The proposed system aims to enhance student engagement, improve comprehension, and support self-paced learning by adapting to individual needs. Performance evaluation is conducted using metrics such as student satisfaction, learning efficiency, accuracy of responses, and academic performance improvement.

The results indicate that Generative AI-based virtual tutoring systems significantly enhance learning experiences by providing context-aware, accessible, and scalable educational support. This study highlights the potential of Generative AI in developing intelligent tutoring systems that complement traditional teaching methods and improve the overall quality of undergraduate education.

Keywords: Generative AI, Virtual Tutor, Undergraduate Education, Personalized Learning, Transformer Models, Natural Language Processing, ChatGPT.