Empirically Testing Some Important Factors for Expert Systems Quality

Guimaraes, M. S.; Tör,; Armstrong, Curtis; O'Neal, Quinton

doi:10.1080/10686967.2006.11918558

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…In examining the relationship between system quality and user satisfaction, as described earlier, researchers have a long history of using user satisfaction as a surrogate measure for success (Guimaraes, Armstrong, & O’Neal, 2006; Rai, Lang, & Welker, 2002). DeLone and McLean (1992) proposed direct relationships between system quality and system use as well as between system quality and user satisfaction.…”

Section: The Proposed Model and Research Hypothesesmentioning

confidence: 99%

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

Alshare¹,

Freeze²,

Lane³

et al. 2011

Decision Sci J Innov Edu

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Success in an online learning environment is tied to both human and system factors. This study illuminates the unique contributions of human factors (comfort with online learning, self-management of learning, and perceived Web self-efficacy) to online learning system success, which is measured in terms of usage and satisfaction. The research model was tested employing SEM on a sample of 674 college students enrolled in at least one online course. The factors of comfort with online learning and perceived Web selfefficacy were significant predictors of satisfaction. Comfort with online learning was significant in predicting usage. The impact of demographic variables was examined.

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Section: The Proposed Model and Research Hypothesesmentioning

confidence: 99%

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

Alshare¹,

Freeze²,

Lane³

et al. 2011

Decision Sci J Innov Edu

View full text Add to dashboard Cite

show abstract

“…If they find any page unresponsive or if it takes too much time to load, it may decrease the system quality. User satisfaction has increased with the system quality, users' perception of IT usage and its success rate (Freeze et al, 2010;Guimaraes et al, 2006). Based on the discussions in this section, the following is the postulated H3.…”

Section: System Qualitymentioning

confidence: 93%

An empirical study of students' perceptive on e-learning systems success

Banu,

Shrivastava,

Salman

2024

IJILT

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PurposeThe effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).Design/methodology/approachA quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).FindingsThis study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.Practical implicationsThe study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.Originality/valueThis study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.

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“…A facilidade de uso do sistema e sua eficácia em fornecer feedback útil aos alunos são características que dão suporte à satisfação do usuário e à qualidade do sistema. Neste estudo, serão testadas as seguintes hipóteses sobre o sucesso dos sistemas de gestão da aprendizagem: A relação entre a qualidade do sistema e a satisfação do usuário é amplamente utilizada para medir o sucesso do sistema (RAI et al, 2002;GUIMARAES et al, 2003;GUIMARAES et al, 2002;GUIMARAES et al, 2003;. A qualidade do sistema é avaliada em função da percepção do usuário sobre o uso da tecnologia da informação (DELONE e MCLEAN 2003).…”

Section: Sistema De Gestão De Aprendizagemunclassified

Examination of the factors affecting the preference of open education and e-learning with the structural equation model

Başar

Çakır

2022

RPGE

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The aim of this study is to investigate the factors that affect the preference of e-learning systems used as a basic or supportive tool in both open education and formal education. The data set used in this study was obtained from a questionnaire applied to randomly selected university students who took courses with the e-learning system. The questionnaire was applied to 561 people and descriptive statistics were calculated based on the obtained data. For modeling and analyzing the relationships of the factors that directly and indirectly affect the preference of e-learning systems, Structural Equation Modeling was established. As a result of the analysis, the variables that directly or indirectly affect the preferability of the e-learning systems were determined. In addition to the positive effect of the information system infrastructure on other variables in the model, the mediation effect of the learning management system on the information system infrastructure and preferability was revealed.

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Empirically Testing Some Important Factors for Expert Systems Quality

Cited by 6 publications

References 17 publications

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

The Impacts of System and Human Factors on Online Learning Systems Use and Learner Satisfaction

An empirical study of students' perceptive on e-learning systems success

Examination of the factors affecting the preference of open education and e-learning with the structural equation model

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