Abstract
In the rapidly evolving domain of educational technology, the integration of Artificial Intelligence (AI) Tutor represents a transformative shift. This study investigates the impact of AI Tutor integration on user satisfaction in fine art learning, providing empirical insights into its effectiveness and pedagogical implications.
Employing a quantitative research methodology, this study utilized a structured survey to collect data from a diverse group of art learners who have interacted with an AI Fine Art Tutor. The survey comprised multiple-choice questions and Likert scale items designed to measure various aspects of user satisfaction, including educational engagement, perceived learning outcomes, and user interface experience. Statistical analyses were performed using SPSS to conduct descriptive statistics, t-tests, and factor analyses to rigorously evaluate the data and identify significant patterns and relationships.
Preliminary results indicate that AI Tutor can significantly enhance user satisfaction, particularly through personalized learning experiences that adapt to individual user needs. However, the study also recognizes the critical importance of addressing ethical considerations and cultural sensitivity to ensure inclusive and bias-free educational environments.
This research contributes to the broader discourse on the role of technology in education by highlighting how AI can be effectively integrated into fine art education to enhance learning outcomes and student engagement. The findings underscore the potential of AI tutors in democratizing art education and paving the way for innovative pedagogical strategies.
Author Information
Pooja Jain, Shri Vaishnav Vidyapeeth Vishwavidyalaya, India
Anu Ukande, Shri Vaishnav Vidyapeeth Vishwavidyalaya, India
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