Revolutionizing the way students learn photographic arts through experiential education using AI and AR systems
Shashi Kant Gupta, Ahmed Alemran, Umi Salma Basha, Atiaf Ibrahim Zakari, SeongKi Kim, Raja Sarath Kumar Boddu, Sunil Kumar Vohra

TL;DR
This study explores how AI and AR can enhance art education by improving student engagement and creativity in smart classrooms.
Contribution
A novel AI and AR system is introduced to provide real-time feedback and immersive learning in photographic arts education.
Findings
The AI and AR system achieved high performance metrics: 97.18% accuracy and 97.33% precision.
Students showed increased appreciation for cultural and visual diversity through immersive experiences.
The system improved academic performance and aesthetic understanding in art education.
Abstract
The evolution of educational environments has seen a shift from conventional classrooms to technology-enhanced smart classrooms, driven by the rapid advancement of digital tools. The integration of traditional art education and modern technologies lacks interactivity and personalized feedback, which limits student engagement and creative progression. The objective of this research is to assess how AI and AR can be combined to improve student engagement, creativity, academic performance, and aesthetic understanding in art education. Data were collected from smart classroom sessions involving educational videos and interactive AR applications focused on photography. The pre-processing stage automatically filters low-quality images, retaining those with high saliency and clarity scores to ensure meaningful input for analysis. Using a TensorFlow-based experimental framework, a Deep…
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Digital Media and Visual Art · Augmented Reality Applications
