E-learning systems sucess: a theorical model

Bibliographic Details
Main Author: Costa, Maria Manuela Simões Aparício da
Publication Date: 2017
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/21392
Summary: A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision Systems
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spelling E-learning systems sucess: a theorical modelE-learning systemsMassive open online courseTheoretical frameworkMOOCSuccess modelCultureGritGamificationA thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision SystemsE-learning systems are emerging in many settings of our society. These systems are enablers in the learning process, strengthening their importance as part of the educational strategy in universities and organizations, due to the recent increase of e-learning systems usage in different scenarios, the way people learn and access knowledge leads to a paradigm shift. Through massive online open courses (MOOCs) individuals are empowered and able to learn about a myriad of topics and areas, allowing for the development of skills and education in a truly independent way. The new tendencies reveal that e-learnings systems and MOOCs bring more enrolments than university enrolments over centuries, and teachers may have more students attending one massive course than in all the rest of their professional life. This medium may seem to be the answer to all learning barriers, but the effect of users’ characteristics and their engagement level on the success of e-learning systems and MOOCs is yet to be explored. Understanding the determinants of e-learning success is crucial for defining instructional strategies. The aim of this dissertation is to theorize by proposing an e-learning systems success model, which includes users’ characteristics, pedagogical perspectives, and technological aspects. This dissertation proposes three theoretical success models and report the empirical studies for each of the models’ validation. The first model determines that cultural aspects (individualism/collectivism) are success determinants in e-learning systems. The second model assesses the non-cognitive skills (stamina in pursuing long term objectives, also known as grit) and their effect on e-learning success. The third model determines that certain pedagogic strategies, such as gamification, are powerful determinants in MOOCs success. The first two studies were developed through an electronic survey distributed to higher education students belonging to various learning levels and from several universities. The third study, on the determinants of successful MOOCs, empirically measured these factors in a real MOOC context. The studies apply quantitative methods, and validate the theoretical models using structural equation modeling (SEM). The contributions of this dissertation are several, as it puts forward a theoretical framework for guiding e-learning studies. Findings demonstrate the determinant role of individualism/collectivism on individual and organizational impacts. Students influenced by collective culture perceive more individual and organizational impacts than individualistic culture students. Results show that perseverance and consistency of interests (grit) have positive effects on satisfaction and in students’ individual performance, in the e-learning systems context. Results demonstrate that information quality and system quality explain user satisfaction with e-learning systems and MOOCs. Our findings also show that gamification has a significant and decisive impact on the success of MOOCs at both an individual and organizational level. Gamification also moderates the relationship between individual impact and organizational impact.Bação, Fernando José Ferreira LucasAndré, Tiago Gonçalves Félix de OliveiraRUNCosta, Maria Manuela Simões Aparício da2020-01-18T01:30:42Z2017-01-172017-01-17T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10362/21392TID:101478364enginfo: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:RCAAP2024-05-22T17:26:07Zoai:run.unl.pt:10362/21392Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:57:03.874537Repositórios 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 E-learning systems sucess: a theorical model
title E-learning systems sucess: a theorical model
spellingShingle E-learning systems sucess: a theorical model
Costa, Maria Manuela Simões Aparício da
E-learning systems
Massive open online course
Theoretical framework
MOOC
Success model
Culture
Grit
Gamification
title_short E-learning systems sucess: a theorical model
title_full E-learning systems sucess: a theorical model
title_fullStr E-learning systems sucess: a theorical model
title_full_unstemmed E-learning systems sucess: a theorical model
title_sort E-learning systems sucess: a theorical model
author Costa, Maria Manuela Simões Aparício da
author_facet Costa, Maria Manuela Simões Aparício da
author_role author
dc.contributor.none.fl_str_mv Bação, Fernando José Ferreira Lucas
André, Tiago Gonçalves Félix de Oliveira
RUN
dc.contributor.author.fl_str_mv Costa, Maria Manuela Simões Aparício da
dc.subject.por.fl_str_mv E-learning systems
Massive open online course
Theoretical framework
MOOC
Success model
Culture
Grit
Gamification
topic E-learning systems
Massive open online course
Theoretical framework
MOOC
Success model
Culture
Grit
Gamification
description A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision Systems
publishDate 2017
dc.date.none.fl_str_mv 2017-01-17
2017-01-17T00:00:00Z
2020-01-18T01:30:42Z
dc.type.driver.fl_str_mv doctoral thesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/21392
TID:101478364
url http://hdl.handle.net/10362/21392
identifier_str_mv TID:101478364
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
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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