Page 151 - Kaleidoscope Academic Conference Proceedings 2024

Alpha-Bit: An Android App for Enhancing Pattern

Recognition using CNN and Sequential Deep Learning

Gobi Ramasamy Antoine Bagula Arokia Paul Rajan Priyadharshini Rengasamy
Christ University University of the Western Cape Christ University Christ University
Bangalore, India Cape Town, South Africa Bangalore, India Bangalore, India
gobi.r@christuniversity.in abagula@uwc.ac.za arokia.rajan@christuniversity.in priyadharshini.r@res.christuniversity.in

Abstract—This research paper introduces Alpha-Bit, an An- II. RELATED WORKS
droid application pioneering Optical Character Recognition (OCR)
through cutting-edge deep learning models, including Convolutional The intersection of technology and education has gained
Neural Networks (CNNs) and Sequential networks. With a core prominence, especially in addressing challenges faced by under-
focus on enhancing educational accessibility and quality, Alpha- served communities. Optical character recognition (OCR) stands
Bit specifically targets foundational elements of the English lan- out as a transformative tool, and recent advancements in deep
guage—alphabets and numbers. Beyond conventional OCR appli- learning, particularly Convolutional Neural Networks (CNNs)
cations, Alpha-Bit distinguishes itself by offering guided instruction
and individual progress reports, providing a nuanced and tailored and Sequential networks, have shown remarkable accuracy in
educational experience. Significantly, this work extends beyond OCR applications. This literature review introduces Alpha-Bit, an
technological innovation; Alpha-Bit’s potential impact encompasses Android application leveraging deep learning for precise OCR,
addressing educational inequalities, contributing to sustainability focusing on educational content. Positioned within Sustainable
goals, and advancing the achievement of Sustainable Development Development Goal 4, Alpha-Bit aims to contribute significantly
Goal 4 (SDG 4). By democratizing education through innovative
OCR technologies, Alpha-Bit emerges as a transformative force with to bridging educational divides globally.
the capacity to revolutionize learning experiences, making quality
education universally accessible and empowering learners across A. Artificial Intelligence in Early Childhood Education: A Scop-
diverse socio-economic backgrounds. ing Review
Index Terms—Optical character recognition (OCR), convolutional
neural networks (CNNs), sequential networks, early childhood edu- The research paper titled ”Artificial Intelligence in Early
cation, literacy, numeracy, SDG 4, artificial intelligence in education. Childhood Education: A Scoping Review” conducts a meticulous
exploration of the application of AI in early childhood education
(ECE) through a scoping review methodology. [7] Spanning the
I. INTRODUCTION years 1995 to 2021 and encompassing 17 relevant studies across
Education stands as the bedrock for life improvement and diverse countries, the paper systematically evaluates the impact of
sustainable development, serving as a catalyst for socioeconomic AI tools on learning and developmental outcomes in young chil-
advancement and a critical tool in addressing systemic inequali- dren. The comprehensive analysis delves into various dimensions,
ties. Despite its transformative potential, the efficacy of education including curriculum design, employed AI tools, pedagogical
is hindered by limited access and utilization of learning materials, approaches, research methodologies, assessment techniques, and
particularly affecting a substantial number of students globally. resultant findings. While highlighting the positive influence of
The impact is acutely felt in rural schools, where inadequate AI on children’s understanding of concepts such as AI, machine
educational resources exacerbate existing disparities, leading to learning, computer science, and robotics, the paper also acknowl-
significant achievement gaps. edges the need for responsible guidance in integrating AI into
Recognizing the transformative power of technology in over- early childhood education. Drawing a connection to the Alpha-Bit
coming these challenges, optical character recognition (OCR) initiative, the scoping review lays the groundwork by revealing
emerges as a promising innovation. By transcending traditional a research gap in the specific realm of mobile applications
barriers such as material availability, portability, accessibility, and designed for educational purposes, especially in foundational
cost, OCR presents an avenue to democratize education on a areas like alphabets and numbers. Alpha-Bit aims to fill this void
global scale. It functions by processing inputs from the digital by introducing a comprehensive mobile application that utilizes
canvas within the app and providing outputs in the form of OCR and deep learning to address the specific gap identified in
accuracy, effectively dismantling obstacles to learning. the scoping review, thereby contributing uniquely to the evolving
In the realm of OCR, recent strides in deep learning, par- landscape of AI in early childhood education.
ticularly through advanced neural networks like Convolutional
B. The Impact of Smartphone use on Learning Effectiveness: A
Neural Networks (CNNs) and Sequential networks, have sur-
Case Study of Primary School Students
passed conventional OCR techniques. This paper introduces
a groundbreaking initiative, Alpha-Bit—an Android application The research paper titled ”The Impact of Smartphone Use
meticulously designed to harness the power of deep learning for on Learning Effectiveness: A Case Study of Primary School
highly accurate OCR tailored explicitly to educational materials. Students” delves into the intricate dynamics between smartphone
The primary objective of Alpha-Bit extends beyond technological use and academic performance among 499 elementary school
innovation; it aspires to be a driving force in promoting quality students in Taiwan. [9] The study uncovers several key findings,
education and fostering accessibility in alignment with the ideals emphasizing the role of parental control and students’ self-control
of Sustainable Development Goal 4. Through this innovative in shaping smartphone activities. Notably, it reveals gender
application, the research endeavors to contribute significantly to differences in smartphone usage patterns, with girls favoring
the ongoing discourse on leveraging advanced technologies to information searching. Surprisingly, the research identifies a
bridge educational divides and enhance the global pursuit of positive correlation between overall smartphone use and academic
quality education for all. performance, highlighting the nuanced influence of appropriate
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