Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences

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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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2024-12-22
DOI
https://doi.org/10.22399/ijcesen.782
Citations
28
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
11.53
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article

Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences

V. Parthipan, P. Rathika, S. Yamunadevi, P. Ponni et al.
28 citations
International Journal of Computational and Experimental Science and Engineering
Online Learning and Analytics
11.53
article

Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences

V. Parthipan, P. Rathika, S. Yamunadevi, P. Ponni, P. Anju
article en
28 citations

Abstract

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..

International Journal of Computational and Experimental Science and EngineeringVol. 10(4)
APLA Health (US), Institute of Engineering (NP), Auchi Polytechnic (NG), Hindustan Institute of Technology and Science (IN), Sri Eshwar College of Engineering
Quality Education
Openalex Percentile: Top 2%
Online Learning and Analytics
11.53
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Developing an AI-Powered Interactive Virtual Tutor for Enhanced Learning Experiences — V. Parthipan, P. Rathika, et al. · International Journal of Computational and Experimental Science and Engineering (2024) | TGRS Research Map | TGRS