| dc.description.abstract | This research is to create an augmented reality (AR)
spelling application for use in early childhood education. It can be
difficult for parents and teachers to teach kids spelling skills
because the conventional approaches frequently do not capture
their interest. This article provides AR technology as a method to
create an interactive and immersive experience that can increase
children's recognition and recall of individual letters within words.
The main objectives of this research are to identify obstacles to
language learning in early childhood education, develop a mobile
application using augmented reality technology to improve spelling
skills and compare the efficiency of this application and traditional
teaching methods in improving children's spelling. The study uses
both qualitative and quantitative data and explores the application
of a mixed-methods methodology. Parents and preschool teachers
from Sri Lanka who take part in surveys and interviews make up the
research population. According to the findings of the requirement
analysis, youngsters are not sufficiently engaged by traditional
teaching methods, and new and inventive methods are required. The
study also describes the hardware and software prerequisites for
creating AR applications, including ARCore, the Sceneform SDK,
the Android SDK, and physically based rendering (PBR). In the
suggested solution architecture, virtual 3D objects and the 3D
letters of the provided word are displayed using augmented reality
(AR) technology. Convolutional Neural Network (CNN) has been
used to recognize the 3D letters presented in an AR environment. A
trained recurrent neural network (RNN) model has been used to
forecast the pronunciation of a letter in the context of the job of
tapping on 3D letters. Ultimately, this study highlights how
augmented reality technology has the potential to increase
educational chances for children by offering a practical remedy for
improving language and spelling learning | en_US |
