Periodic Performance Analysis to Predict Student Success Rates

Bibliographic Details
Main Author:	Senol, Nurettin Selcuk
Language:	English
Published:	Youngstown State University / OhioLINK 2020
Subjects:	Computer Science Data Analysis Performance Analysis Monitoring System
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588872003722039

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-ysu15888720037220392021-08-03T07:15:00Z Periodic Performance Analysis to Predict Student Success Rates Senol, Nurettin Selcuk Computer Science Data Analysis Performance Analysis Monitoring System There are many students who have difficulties in their higher education. There may be several reasons why students’ performances may not be as intended. The system showcased in this study will enable students’ performances be monitored, and it will be very beneficial for both academic staff and students who can be intervened promptly. The monitoring system tracks student’s progress. Once an advisor notices a student's performance is beginning to deteriorate, they can step in and aid. Doing this helps prevent negative consequences occurring like failing a semester or dropping out of school. 2020-05-20 English text Youngstown State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588872003722039 http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588872003722039 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Computer Science Data Analysis Performance Analysis Monitoring System
spellingShingle	Computer Science Data Analysis Performance Analysis Monitoring System Senol, Nurettin Selcuk Periodic Performance Analysis to Predict Student Success Rates
author	Senol, Nurettin Selcuk
author_facet	Senol, Nurettin Selcuk
author_sort	Senol, Nurettin Selcuk
title	Periodic Performance Analysis to Predict Student Success Rates
title_short	Periodic Performance Analysis to Predict Student Success Rates
title_full	Periodic Performance Analysis to Predict Student Success Rates
title_fullStr	Periodic Performance Analysis to Predict Student Success Rates
title_full_unstemmed	Periodic Performance Analysis to Predict Student Success Rates
title_sort	periodic performance analysis to predict student success rates
publisher	Youngstown State University / OhioLINK
publishDate	2020
url	http://rave.ohiolink.edu/etdc/view?acc_num=ysu1588872003722039
work_keys_str_mv	AT senolnurettinselcuk periodicperformanceanalysistopredictstudentsuccessrates
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Periodic Performance Analysis to Predict Student Success Rates

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