Understanding students’ academic achievement in public High School : evidence for Portugal

Bibliographic Details
Main Author: Louro, Ana Filipa Rosa
Publication Date: 2018
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/42450
Summary: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Understanding students’ academic achievement in public High School : evidence for PortugalAcademic AchievementPredictive ModelsEducationDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceSeveral papers and studies have been conducted to better understand what are the main factors that influence students’ academic achievement and what measures should be taken to improve it. Therefore, based on 383.560 students’ observations, evaluated on secondary Portuguese public schools in 2014/2015 academic year, the purpose of this study is to provide a new approach to the collected data by using Data Mining predictive models. The results show differences on the academic achievement among females and male students, where females got better academic results. Access to computer and Internet found to be powerful tools in education that students can explore to their benefit and show to have a positive influence on academic results. Students benefiting from financial social support prove to have a lower performance in academic achievement. Results also point to the fact that the number of reproves still has a great negative impact on students’ academic achievement. This is one of the first studies to the best of the authors knowledge to employ analytic techniques on such a large dataset on the context of academic achievement.Jesus, Frederico Miguel Campos Cruz Ribeiro deNeves, Jorge Nélson Gouveia de SousaRUNLouro, Ana Filipa Rosa2018-07-25T14:19:03Z2018-07-132018-07-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/42450TID:201954770enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:34:04Zoai:run.unl.pt:10362/42450Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:04:56.159604Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Understanding students’ academic achievement in public High School : evidence for Portugal
title Understanding students’ academic achievement in public High School : evidence for Portugal
spellingShingle Understanding students’ academic achievement in public High School : evidence for Portugal
Louro, Ana Filipa Rosa
Academic Achievement
Predictive Models
Education
title_short Understanding students’ academic achievement in public High School : evidence for Portugal
title_full Understanding students’ academic achievement in public High School : evidence for Portugal
title_fullStr Understanding students’ academic achievement in public High School : evidence for Portugal
title_full_unstemmed Understanding students’ academic achievement in public High School : evidence for Portugal
title_sort Understanding students’ academic achievement in public High School : evidence for Portugal
author Louro, Ana Filipa Rosa
author_facet Louro, Ana Filipa Rosa
author_role author
dc.contributor.none.fl_str_mv Jesus, Frederico Miguel Campos Cruz Ribeiro de
Neves, Jorge Nélson Gouveia de Sousa
RUN
dc.contributor.author.fl_str_mv Louro, Ana Filipa Rosa
dc.subject.por.fl_str_mv Academic Achievement
Predictive Models
Education
topic Academic Achievement
Predictive Models
Education
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2018
dc.date.none.fl_str_mv 2018-07-25T14:19:03Z
2018-07-13
2018-07-13T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/42450
TID:201954770
url http://hdl.handle.net/10362/42450
identifier_str_mv TID:201954770
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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