Index learning style data processing application

Knowledge has always been important to the humanity evolution. Humanities are continuously gaining knowledge through researches, innovations and discoveries. The knowledge is passed on from generations to generations through learning. Such example, are adopted in school where learning takes place. F...

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Main Author: Yew, Shao Jie
Other Authors: Kevin Anthony Jones
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74025
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-740252023-03-03T20:40:32Z Index learning style data processing application Yew, Shao Jie Kevin Anthony Jones School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Administrative data processing DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval Knowledge has always been important to the humanity evolution. Humanities are continuously gaining knowledge through researches, innovations and discoveries. The knowledge is passed on from generations to generations through learning. Such example, are adopted in school where learning takes place. For many years, teachers and learners have had struggle with how to teach and how to learn. Many researches were conducted to find out how learning can be enhanced and result have shown that learning style have an impact on how learners performed in school [1] [2]. This led teachers to finding out suitable learning styles for their learners. The application developed in this project, ILS Data Processing Application, aims to improve the processing of learners’ Felder-Silverman Index of Learning Style report. This is because manually tabulating all the students’ learning styles can be tedious and could lead to inaccurate analysis. The main user of this application is teachers who are interested to analyze and discover the optimal learning styles for their learners. The adopted Software Development Life Cycle of this project follows the agile software development methodology so that the requirements of the application can be more flexible. The application is developed in Java with JavaFx. This report contains the documented requirements, software architecture, structural designs; component diagram, dialogue map, class diagrams and sequence diagram of the application development. The application process Index Learning Style Results that are either in Image, PDF or HTML format to extract data out and export it into an output file; excel workbook. The application also provides a GUI for visualizing of the data extracted. Bachelor of Engineering (Computer Science) 2018-04-23T08:47:15Z 2018-04-23T08:47:15Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74025 en Nanyang Technological University 102 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Administrative data processing
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Administrative data processing
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Yew, Shao Jie
Index learning style data processing application
description Knowledge has always been important to the humanity evolution. Humanities are continuously gaining knowledge through researches, innovations and discoveries. The knowledge is passed on from generations to generations through learning. Such example, are adopted in school where learning takes place. For many years, teachers and learners have had struggle with how to teach and how to learn. Many researches were conducted to find out how learning can be enhanced and result have shown that learning style have an impact on how learners performed in school [1] [2]. This led teachers to finding out suitable learning styles for their learners. The application developed in this project, ILS Data Processing Application, aims to improve the processing of learners’ Felder-Silverman Index of Learning Style report. This is because manually tabulating all the students’ learning styles can be tedious and could lead to inaccurate analysis. The main user of this application is teachers who are interested to analyze and discover the optimal learning styles for their learners. The adopted Software Development Life Cycle of this project follows the agile software development methodology so that the requirements of the application can be more flexible. The application is developed in Java with JavaFx. This report contains the documented requirements, software architecture, structural designs; component diagram, dialogue map, class diagrams and sequence diagram of the application development. The application process Index Learning Style Results that are either in Image, PDF or HTML format to extract data out and export it into an output file; excel workbook. The application also provides a GUI for visualizing of the data extracted.
author2 Kevin Anthony Jones
author_facet Kevin Anthony Jones
Yew, Shao Jie
format Final Year Project
author Yew, Shao Jie
author_sort Yew, Shao Jie
title Index learning style data processing application
title_short Index learning style data processing application
title_full Index learning style data processing application
title_fullStr Index learning style data processing application
title_full_unstemmed Index learning style data processing application
title_sort index learning style data processing application
publishDate 2018
url http://hdl.handle.net/10356/74025
_version_ 1759858255716155392