Web-based pattern analysis and retrieval for PSLE science questions
Primary School Leaving Examination (PSLE) Science is an important exam in Singapore, for primary six student, this will be the deciding factor to enter the top secondary schools in Singapore. Usually, the key focus of the subject is unclear or unpredictable. Hence, students are often instru...
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sg-ntu-dr.10356-590102023-03-03T20:28:38Z Web-based pattern analysis and retrieval for PSLE science questions Lim, Wee Kiat Hui Siu Cheung School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Primary School Leaving Examination (PSLE) Science is an important exam in Singapore, for primary six student, this will be the deciding factor to enter the top secondary schools in Singapore. Usually, the key focus of the subject is unclear or unpredictable. Hence, students are often instructed by their parents to either attempt all resources or randomly choose paper for practice. However, this is a very inefficient method. The purpose of this project is to implement a web-based system as for parents to access past year science exam papers from top school’s ranging from 2004 to recent date. The system must allow user to view paper with option to filter year, school, name and topics that enable quick search. Furthermore, smart analysis tools could be provided to aid parents understand the topics distribution of papers from top schools, topics distribution in MCQ and OEQ, topic trend within a range of papers and even tagging system to search keywords. Implementation and tools used will be further explained in this report. In conclusion, this project is created to assist students in their major exam. However, the system can be further enhanced in the future to better fulfil the needs of the students. Bachelor of Engineering (Computer Science) 2014-04-21T02:55:13Z 2014-04-21T02:55:13Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59010 en Nanyang Technological University 52 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications Lim, Wee Kiat Web-based pattern analysis and retrieval for PSLE science questions |
description |
Primary School Leaving Examination (PSLE) Science is an important exam in
Singapore, for primary six student, this will be the deciding factor to enter the top
secondary schools in Singapore. Usually, the key focus of the subject is unclear or
unpredictable. Hence, students are often instructed by their parents to either attempt
all resources or randomly choose paper for practice. However, this is a very
inefficient method.
The purpose of this project is to implement a web-based system as for parents to
access past year science exam papers from top school’s ranging from 2004 to recent
date. The system must allow user to view paper with option to filter year, school,
name and topics that enable quick search. Furthermore, smart analysis tools could be
provided to aid parents understand the topics distribution of papers from top schools,
topics distribution in MCQ and OEQ, topic trend within a range of papers and even
tagging system to search keywords. Implementation and tools used will be further
explained in this report.
In conclusion, this project is created to assist students in their major exam. However,
the system can be further enhanced in the future to better fulfil the needs of the
students. |
author2 |
Hui Siu Cheung |
author_facet |
Hui Siu Cheung Lim, Wee Kiat |
format |
Final Year Project |
author |
Lim, Wee Kiat |
author_sort |
Lim, Wee Kiat |
title |
Web-based pattern analysis and retrieval for PSLE science questions |
title_short |
Web-based pattern analysis and retrieval for PSLE science questions |
title_full |
Web-based pattern analysis and retrieval for PSLE science questions |
title_fullStr |
Web-based pattern analysis and retrieval for PSLE science questions |
title_full_unstemmed |
Web-based pattern analysis and retrieval for PSLE science questions |
title_sort |
web-based pattern analysis and retrieval for psle science questions |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/59010 |
_version_ |
1759857187501375488 |