E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers

With the world rapidly adapting to online education, preschoolers are left behind to cope with this new approach to learning. In reality, preschoolers require more engagement and interaction; they require hands-on activities/exercises to stimulate their learning progress. As a solution, the author c...

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Main Authors: Yap, Choi Sen, Minnal Kumar, A/L Sathiyamoorthy
Format: Article
Language:English
Published: INTI International University 2022
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Online Access:http://eprints.intimal.edu.my/1645/1/158
http://eprints.intimal.edu.my/1645/
https://intijournal.intimal.edu.my/intijournal.htm
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spelling my-inti-eprints.16452024-09-06T03:06:04Z http://eprints.intimal.edu.my/1645/ E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers Yap, Choi Sen Minnal Kumar, A/L Sathiyamoorthy QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) With the world rapidly adapting to online education, preschoolers are left behind to cope with this new approach to learning. In reality, preschoolers require more engagement and interaction; they require hands-on activities/exercises to stimulate their learning progress. As a solution, the author came up with an e-learning application that implements machine learning and image/text recognition for a subtle and fun way of learning. The application has three basic learning activities such as the alphabet, numbers, and color activity. For the alphabet and number activity, the application will simply take the student’s hand-drawn input from the built-in canvas, run it through the image processing/recognition and instantaneously allocate points for the student based on their answer. The color activity is slightly adventurous, where the students will take pictures of a particular color based on the given question, this allows the students to wander around their surroundings making it more interactive and fun. The application additionally includes the student analysis function, which is a detailed student management system with the capability to track student progress and identify their interest to find out their strengths and weaknesses in a particular subject based on the points and activity involvements. The application also has an in-app monitoring and ranking system along with individual student profiles that make student management easier for a larger group of students in a learning center or kindergarten. INTI International University 2022-07 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1645/1/158 Yap, Choi Sen and Minnal Kumar, A/L Sathiyamoorthy (2022) E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers. INTI Journal, 2022 (25). pp. 1-8. ISSN 2600-7320 https://intijournal.intimal.edu.my/intijournal.htm
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Yap, Choi Sen
Minnal Kumar, A/L Sathiyamoorthy
E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
description With the world rapidly adapting to online education, preschoolers are left behind to cope with this new approach to learning. In reality, preschoolers require more engagement and interaction; they require hands-on activities/exercises to stimulate their learning progress. As a solution, the author came up with an e-learning application that implements machine learning and image/text recognition for a subtle and fun way of learning. The application has three basic learning activities such as the alphabet, numbers, and color activity. For the alphabet and number activity, the application will simply take the student’s hand-drawn input from the built-in canvas, run it through the image processing/recognition and instantaneously allocate points for the student based on their answer. The color activity is slightly adventurous, where the students will take pictures of a particular color based on the given question, this allows the students to wander around their surroundings making it more interactive and fun. The application additionally includes the student analysis function, which is a detailed student management system with the capability to track student progress and identify their interest to find out their strengths and weaknesses in a particular subject based on the points and activity involvements. The application also has an in-app monitoring and ranking system along with individual student profiles that make student management easier for a larger group of students in a learning center or kindergarten.
format Article
author Yap, Choi Sen
Minnal Kumar, A/L Sathiyamoorthy
author_facet Yap, Choi Sen
Minnal Kumar, A/L Sathiyamoorthy
author_sort Yap, Choi Sen
title E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
title_short E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
title_full E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
title_fullStr E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
title_full_unstemmed E-Learning App Using Image Processing, Detection, Ranking, and Progress Monitoring for Preschoolers
title_sort e-learning app using image processing, detection, ranking, and progress monitoring for preschoolers
publisher INTI International University
publishDate 2022
url http://eprints.intimal.edu.my/1645/1/158
http://eprints.intimal.edu.my/1645/
https://intijournal.intimal.edu.my/intijournal.htm
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