An analysis of students’ behaviour in a Learning Management System through Process Mining

Detalhes bibliográficos
Autor(a) principal: Leal, Joana Carmo
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/136706
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling An analysis of students’ behaviour in a Learning Management System through Process MiningProcess MiningEducationMoodleExpectation-Maximization algorithmLearning behaviorDiscoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe exponential growth and transformation of the Internet and information technology in recent years led to the development of several analytical tools. As is the case with process mining, it emerged to fulfill the need to extract and analyze information from event logs by representing it in the form of process models. Process mining is an acclaimed tool and proved crucial in several areas, from healthcare to manufacturing and finance. Nevertheless, and despite the crucial role of digital systems in supporting learning activities and generating large amounts of data about learning processes, limited research focused on process mining applied to the educational context. Therefore, the aim of this dissertation is to apply a process-oriented approach and demonstrate the applicability of process mining techniques to explore and analyze students’ behavior and interaction patterns, based on data collected from Moodle, the widely used Learning Management System. We cover definitions of process mining, education, and a detailed search of the existing literature on educational process mining during this work. Furthermore, the paper analyzes and discusses the findings of the study that combines process mining techniques, specifically process discovery implanted in the Disco tool, with cluster analysis. Through the application of these two techniques, it was possible to recognize the relationship between the students’ behavior registered in the process models and the success of the students in the course, along with the general and specific information about the students’ learning paths. Besides, we obtained findings that allow us to predict the group of students at risk of failing. Finally, with the analysis of these results, we were able to provide improvement proposals and recommendations to enhance the learning experience.Santos, Vitor Manuel Pereira Duarte dosTomat, LukaRUNLeal, Joana Carmo2022-04-20T17:17:35Z2022-04-182022-04-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/136706TID:202994210enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:14:41Zoai:run.unl.pt:10362/136706Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:45.953668Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An analysis of students’ behaviour in a Learning Management System through Process Mining
title An analysis of students’ behaviour in a Learning Management System through Process Mining
spellingShingle An analysis of students’ behaviour in a Learning Management System through Process Mining
Leal, Joana Carmo
Process Mining
Education
Moodle
Expectation-Maximization algorithm
Learning behavior
Disco
title_short An analysis of students’ behaviour in a Learning Management System through Process Mining
title_full An analysis of students’ behaviour in a Learning Management System through Process Mining
title_fullStr An analysis of students’ behaviour in a Learning Management System through Process Mining
title_full_unstemmed An analysis of students’ behaviour in a Learning Management System through Process Mining
title_sort An analysis of students’ behaviour in a Learning Management System through Process Mining
author Leal, Joana Carmo
author_facet Leal, Joana Carmo
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
Tomat, Luka
RUN
dc.contributor.author.fl_str_mv Leal, Joana Carmo
dc.subject.por.fl_str_mv Process Mining
Education
Moodle
Expectation-Maximization algorithm
Learning behavior
Disco
topic Process Mining
Education
Moodle
Expectation-Maximization algorithm
Learning behavior
Disco
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2022
dc.date.none.fl_str_mv 2022-04-20T17:17:35Z
2022-04-18
2022-04-18T00:00:00Z
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/10362/136706
TID:202994210
url http://hdl.handle.net/10362/136706
identifier_str_mv TID:202994210
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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repository.mail.fl_str_mv
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