Augmented Reality and Optical Character Recognition for Improved Learning Concept Visualization: A Technical Exploration

In today's rapidly evolving educational landscape, incorporating technology is no longer a choice but a necessity to cultivate an immersive and impactful learning environment. Our AR application aims to revolutionize the learning experience for students by seamlessly integrating augmented reality models into their curriculum. AR models engage students actively by allowing them to manipulate and explore 3D representations of concepts. This hands-on interaction enhances understanding, as students can rotate, zoom, and gain a deeper insight into complex subjects. AR models bring abstract concepts to life, making them more tangible and relatable. Instead of relying on flat images or two-dimensional videos, AR creates an immersive environment that simulates real- world scenarios, fostering a more dynamic and memorable learning experience Through a simple scanning process of their textbooks or notes, students gain access to interactive 3D models corresponding to their syllabus, providing a hands-on and immersive understanding of complex concepts. This innovative approach enhances comprehension, retention, and engagement, fostering a deeper connection to the material. Unlike traditional methods, our AR application breaks the constraints of physical classrooms, allowing students to access and interact with educational models anytime, anywhere. By bridging the gap between theoretical knowledge and practical application, our solution empowers students to elevate their learning capabilities and transforms education into a dynamic, personalized, and game- changing experience.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icaitpr63242.2024.10959839
Primary Topic
Augmented Reality Applications
Type
article
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article

Augmented Reality and Optical Character Recognition for Improved Learning Concept Visualization: A Technical Exploration

Begari Adithi, Aakanksha Challawar, Pranathi Bussa, Vijay Abhaskarareddy et al.
Augmented Reality Applications
article

Augmented Reality and Optical Character Recognition for Improved Learning Concept Visualization: A Technical Exploration

Begari Adithi, Aakanksha Challawar, Pranathi Bussa, Vijay Abhaskarareddy, Akhila Kurmandla
article en

Abstract

In today's rapidly evolving educational landscape, incorporating technology is no longer a choice but a necessity to cultivate an immersive and impactful learning environment. Our AR application aims to revolutionize the learning experience for students by seamlessly integrating augmented reality models into their curriculum. AR models engage students actively by allowing them to manipulate and explore 3D representations of concepts. This hands-on interaction enhances understanding, as students can rotate, zoom, and gain a deeper insight into complex subjects. AR models bring abstract concepts to life, making them more tangible and relatable. Instead of relying on flat images or two-dimensional videos, AR creates an immersive environment that simulates real- world scenarios, fostering a more dynamic and memorable learning experience Through a simple scanning process of their textbooks or notes, students gain access to interactive 3D models corresponding to their syllabus, providing a hands-on and immersive understanding of complex concepts. This innovative approach enhances comprehension, retention, and engagement, fostering a deeper connection to the material. Unlike traditional methods, our AR application breaks the constraints of physical classrooms, allowing students to access and interact with educational models anytime, anywhere. By bridging the gap between theoretical knowledge and practical application, our solution empowers students to elevate their learning capabilities and transforms education into a dynamic, personalized, and game- changing experience.

Openalex Percentile: Top 71%
Augmented Reality Applications
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Augmented Reality and Optical Character Recognition for Improved Learning Concept Visualization: A Technical Exploration — Begari Adithi, Aakanksha Challawar, et al. · (2024) | TGRS Research Map | TGRS