Students' performance evaluation in higher education using data visualization techniques.
Assessment is a process that produces information for educators that they may use to make decisions regarding students' learning. Nowadays one of the great difficulties that educational institutions face, is the increasing growth of educational data and the use of it to improve the quality of making...
| Publicado en: | Annals of Philosophy, Social & Human Disciplines Vol. 2; pp. 43 - 56 |
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| Autores principales: | , |
| Formato: | Artículo |
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Suceava: "Stefan cel Mare" University
2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=163755235&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 163755235 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 20694008 FIAT jtl: Annals of Philosophy, Social & Human Disciplines issn: 20694008 maglogo: N pubinfo: dt: 2022 vid: 2 pid: 58683 pub: Suceava: "Stefan cel Mare" University artinfo: ui: 163755235 ppf: 43 ppct: 13 formats: fmt: @attributes: type: P size: 1.1MB tig: atl: Students' performance evaluation in higher education using data visualization techniques. aug: au: LLAHA, Olta ALIU, Azir affil: SEE University, Tetovo, North Macedonia su: Data modeling Data visualization Assessment of education Higher education Visualization School enrollment Decision making sug: subj: Data modeling Data visualization Assessment of education Higher education Visualization School enrollment Decision making keyword: Data Visualization Higher Education Knowledge Discovery ab: Assessment is a process that produces information for educators that they may use to make decisions regarding students' learning. Nowadays one of the great difficulties that educational institutions face, is the increasing growth of educational data and the use of it to improve the quality of making decisions in regard to education. Data visualization methods help to create useful and valid analyses from higher education databases. They also ensure students maximize their academic output. Here we present the evaluation of students for different subjects, graduation levels, student enrollment and by the use of data visualization techniques we make an analysis of the study results. We show the importance of data visualization in data analysis which has a significant impact on the accuracy of the predicted results. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Annals of Philosophy, Social & Human Disciplines is the property of Suceava: "Stefan cel Mare" University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Annals of Philosophy, Social & Human Disciplines holder: Suceava: "Stefan cel Mare" University dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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