Ego Network Analysis for Predicting Students Performance
V. Vadivu. International Journal of Trend in Scientific Research and Development, 1 (5):
722-735(August 2017)
Abstract
Students and teachers use more detailed information about their strengths, weaknesses, and individual academic performance to understand why students face a learning gap and try to understand the patterns to overcome the risk in future. So the data are collected from students with greater privacy by making them answer questions that indirectly helps us to determine the character, behavior and performance of the student, And helps the college to provide great promise of quality education for all. V. Dilli Ganesh | G Vadivu"Ego Network Analysis for Predicting Students Performance " Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2364.pdf http://www.ijtsrd.com/computer-science/other/2364/ego-network-analysis-for-predicting-students-performance-/v-dilli-ganesh
%0 Journal Article
%1 noauthororeditor
%A Vadivu, V. Dilli Ganesh G
%D 2017
%J International Journal of Trend in Scientific Research and Development
%K Betweeness Centrality Data Ego Feedback Network Students Trajectories mining
%N 5
%P 722-735
%T Ego Network Analysis for Predicting Students Performance
%U http://www.ijtsrd.com/computer-science/other/2364/ego-network-analysis-for-predicting-students-performance-/v-dilli-ganesh
%V 1
%X Students and teachers use more detailed information about their strengths, weaknesses, and individual academic performance to understand why students face a learning gap and try to understand the patterns to overcome the risk in future. So the data are collected from students with greater privacy by making them answer questions that indirectly helps us to determine the character, behavior and performance of the student, And helps the college to provide great promise of quality education for all. V. Dilli Ganesh | G Vadivu"Ego Network Analysis for Predicting Students Performance " Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2364.pdf http://www.ijtsrd.com/computer-science/other/2364/ego-network-analysis-for-predicting-students-performance-/v-dilli-ganesh
@article{noauthororeditor,
abstract = {Students and teachers use more detailed information about their strengths, weaknesses, and individual academic performance to understand why students face a learning gap and try to understand the patterns to overcome the risk in future. So the data are collected from students with greater privacy by making them answer questions that indirectly helps us to determine the character, behavior and performance of the student, And helps the college to provide great promise of quality education for all. V. Dilli Ganesh | G Vadivu"Ego Network Analysis for Predicting Students Performance " Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2364.pdf http://www.ijtsrd.com/computer-science/other/2364/ego-network-analysis-for-predicting-students-performance-/v-dilli-ganesh
},
added-at = {2018-09-04T06:22:32.000+0200},
author = {Vadivu, V. Dilli Ganesh G},
biburl = {https://www.bibsonomy.org/bibtex/2d3366d019a02b8ee99243325658a42e8/ijtsrd},
interhash = {84c9081534469e43780c642bf502fce5},
intrahash = {d3366d019a02b8ee99243325658a42e8},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Betweeness Centrality Data Ego Feedback Network Students Trajectories mining},
language = {English},
month = aug,
number = 5,
pages = {722-735},
timestamp = {2018-10-02T11:01:27.000+0200},
title = {Ego Network Analysis for Predicting Students Performance
},
url = {http://www.ijtsrd.com/computer-science/other/2364/ego-network-analysis-for-predicting-students-performance-/v-dilli-ganesh},
volume = 1,
year = 2017
}