Student profiling on university co-curricular activities using cluster analysis

In higher learning institutions, the co-curricular programs are needed for the graduation besides the standard academic programs.By actively participating in co-curricular, students can attain many of soft skills and proficiencies besides learning and adopting campus environment, community and tradi...

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Main Authors: Rajenthran, Hemabegai, Mohd Shaharanee, Izwan Nizal, Jamil, Jastini
Format: Article
Published: IP Publishing LLC 2017
Subjects:
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author Rajenthran, Hemabegai
Mohd Shaharanee, Izwan Nizal
Jamil, Jastini
author_facet Rajenthran, Hemabegai
Mohd Shaharanee, Izwan Nizal
Jamil, Jastini
author_sort Rajenthran, Hemabegai
collection UUM
description In higher learning institutions, the co-curricular programs are needed for the graduation besides the standard academic programs.By actively participating in co-curricular, students can attain many of soft skills and proficiencies besides learning and adopting campus environment, community and traditions.Co-curricular activities are implemented by universities mainly for the refinement of the academic achievement along with the social development.This studies aimed to analyse the academic profile of the co-curricular students among uniform units. The main objective of study is to develop a profile of student co-curricular activities in uniform units. Additionally, several variables has been selected to serve as the characteristics for student co-curricular profile.The findings of this study demonstrate the practicality of clustering technique to investigate student’s profiles and allow for a better understanding of student’s behavior and co-curriculum activities.
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institution Universiti Utara Malaysia
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spelling uum-249082018-10-07T07:36:07Z https://repo.uum.edu.my/id/eprint/24908/ Student profiling on university co-curricular activities using cluster analysis Rajenthran, Hemabegai Mohd Shaharanee, Izwan Nizal Jamil, Jastini QA75 Electronic computers. Computer science In higher learning institutions, the co-curricular programs are needed for the graduation besides the standard academic programs.By actively participating in co-curricular, students can attain many of soft skills and proficiencies besides learning and adopting campus environment, community and traditions.Co-curricular activities are implemented by universities mainly for the refinement of the academic achievement along with the social development.This studies aimed to analyse the academic profile of the co-curricular students among uniform units. The main objective of study is to develop a profile of student co-curricular activities in uniform units. Additionally, several variables has been selected to serve as the characteristics for student co-curricular profile.The findings of this study demonstrate the practicality of clustering technique to investigate student’s profiles and allow for a better understanding of student’s behavior and co-curriculum activities. IP Publishing LLC 2017 Article PeerReviewed Rajenthran, Hemabegai and Mohd Shaharanee, Izwan Nizal and Jamil, Jastini (2017) Student profiling on university co-curricular activities using cluster analysis. AIP Conference Proceedings, 1905. 050035. ISSN 0094-243X http://doi.org/10.1063/1.5012254 doi:10.1063/1.5012254 doi:10.1063/1.5012254
spellingShingle QA75 Electronic computers. Computer science
Rajenthran, Hemabegai
Mohd Shaharanee, Izwan Nizal
Jamil, Jastini
Student profiling on university co-curricular activities using cluster analysis
title Student profiling on university co-curricular activities using cluster analysis
title_full Student profiling on university co-curricular activities using cluster analysis
title_fullStr Student profiling on university co-curricular activities using cluster analysis
title_full_unstemmed Student profiling on university co-curricular activities using cluster analysis
title_short Student profiling on university co-curricular activities using cluster analysis
title_sort student profiling on university co curricular activities using cluster analysis
topic QA75 Electronic computers. Computer science
work_keys_str_mv AT rajenthranhemabegai studentprofilingonuniversitycocurricularactivitiesusingclusteranalysis
AT mohdshaharaneeizwannizal studentprofilingonuniversitycocurricularactivitiesusingclusteranalysis
AT jamiljastini studentprofilingonuniversitycocurricularactivitiesusingclusteranalysis