Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences
DOI:
https://doi.org/10.22399/ijcesen.782Keywords:
AI-powered tutor, Natural language processing, Sentiment analysis, Machine learning, Real-time feedback, Educational technologyAbstract
The integration of artificial intelligence (AI) in education has opened new avenues for enhancing personalized learning experiences. This paper proposes the development of an AI-powered interactive virtual tutor designed to support students throughout their educational journey. The virtual tutor leverages advanced natural language processing (NLP) algorithms, sentiment analysis, and machine learning to engage students in real-time, providing tailored guidance, explanations, and feedback. By analyzing students' learning patterns, emotional states, and progress, the AI tutor offers personalized recommendations and interventions, enhancing both cognitive and emotional aspects of learning. The system’s interactive features, including voice recognition and conversational AI, allow students to interact naturally, facilitating a more engaging and immersive learning experience. This paper also presents the architecture of the proposed virtual tutor, key technologies involved, and its potential impact on student learning outcomes. Initial results demonstrate significant improvements in student engagement, satisfaction, and academic performance, suggesting that AI-driven virtual tutors could revolutionize personalized education..
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