e-Learning process management and the e-learning performance: Results of a European empirical study

ukušić, Maja; Alfirević, Nikša; Granić, Andrina; Garača, eljko

doi:10.1016/j.compedu.2010.02.017

Cited by 65 publications

(25 citation statements)

References 9 publications

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“…Cloud computing provides two paradigms in computing, namely software as a service and platform as a service, and is increasingly being used by enterprises and organizations (Murah, 2012). Topics of workplace learning management have become critical in fuzzy environments because they are subject to intense inspection from dissimilar stakeholder groups including end consumers, industrial customers, suppliers, and financial institutions (Ćukušić, Alfirević, Granić, & Garača, 2010; status, cloud computing is not a technique but a concept that is, in a broad sense, part of distributed computing. Topics of workplace learning management have become critical in fuzzy environments because they are subject to intense inspection from dissimilar stakeholder groups including end consumers, industrial customers, suppliers, and financial institutions (Ćukušić, Alfirević, Granić, & Garača, 2010; status, cloud computing is not a technique but a concept that is, in a broad sense, part of distributed computing.…”

Section: Introductionmentioning

confidence: 99%

Cloud e-learning service strategies for improving e-learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision-making model

Tzeng

2015

Interactive Learning Environments

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The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the fuzzy DEMATEL-based analytic network process (DANP) as well as (b) the modified VIKOR method combining fuzzy influential weights of fuzzy DANP to integrate each criterion of fuzzy performance gaps into dimensions and, overall, to examine the interdependent and feedback problems among various dimensions/ criteria of cloud e-learning services for creating the excellent improvement plan based on the FSINRM to implement the strategic orientations. An empirical case of the network communication service industry was used as an example to show the proposed methods and ultimately present the most effective improvement plan for decision-makers to achieve the aspiration level.Keywords: cloud e-learning service; fuzzy decision-making trial and evaluation laboratory (DEMATEL); fuzzy scope influential network relationship map (FSINRM); fuzzy DEMATEL-based analytic network process (DANP); fuzzy VIKOR Payne et al., 2009). Because the need for education is increasing constantly, developing and improving e-learning solutions are necessary. In addition, e-learning systems must keep pace with technology; thus, the new direction is to use cloud computing. Several cloud computing service providers offer support for educational systems. Among them are Amazon, Google, Yahoo, and Microsoft (Pocatilu, Alecu, & Vetrici, 2009). To adhere to cloud elearning regulations for selling products in certain countries, industries must know how to implement some strategies for voluntarily reducing adverse environmental effects and improving the performance gaps of their services or products to achieve the aspiration level. Hence, understanding the effects of cloud e-learning strategic orientation on e-learning innovation for promoting the performance of firms and determining how to increase the competitive advantage of a business are critical. Our study showed that this cloud e-learning strategy substantially improved the skills of an inexperienced operator.The purpose of this study was to solve these problems by using a new hybrid fuzzy multiple attribute decision-making (MADM) model to examine the interdependent and feedback problems among various dimensions and criteria of cloud e-learning performance. In addition, this study determined the ideal improvement plan for implementing strategies to enable decision-makers to achieve the aspiration level (Hsieh, Lu, & Tzeng, 2004;Lu, Tang, & Tzeng, 2013). When experts complete questionnaires, quantifying their judgments and preferences in exact numerical values according to the perceptions or feelings of experts is difficult because of the inherent vagueness of natural human language. Therefore, we applied fuzzy set theory to handle natural human language by de...

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Section: Introductionmentioning

confidence: 99%

Cloud e-learning service strategies for improving e-learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision-making model

Tzeng

2015

Interactive Learning Environments

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“…Learning Management Systems used in the papers were not consistent (Attwell, 2006;Ćukušić, Alfirević, Granić & Garača, 2010;Garcia & Jorge, 2006) but had similar meanings.…”

Section: Gaps and Highlights In The Literaturementioning

confidence: 99%

“…Few of the articles brought congruence between the domain of theory and the e-learning outcomes (Ćukušić et al 2010;Nathan, 2009;Marshall, 2005). Several of the articles examined did not explain their use of theory.…”

Section: Overall Summary Of the Categories Of Evaluations Of E-learningmentioning

confidence: 99%

HCI and E-Learning

Obilade

2016

Handbook of Research on Human-Computer Interfaces, Developments, and Applications

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This chapter developed a framework for evaluating e-learning for use in Human Computer Interaction (HCI). A systems approach was used in the study; input, processes and output. It discussed the different assumptions about how people learn; behaviorism, cognitivism and constructivism. Further, it examined the common threads in the definitions of e-learning and the literature on evaluation of e-learning models. Nine categories of evaluation of e-learning were identified but five were reviewed because the remaining four overlapped. Two separate evaluations were reviewed under each category, making a total of ten reviews. The reviews showed that the evaluations were not conducted in the same way even within the same category making comparisons difficult. The framework was developed from the highlights in the review. The developed framework can be used to evaluate different e-learning modules along common lines making it easy to compare evaluations. It is hoped that over the next few years, a consistency in evaluations of e-learning would be achieved for use in HCI.

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“…The model was originally developed by DeLone and McLean (1992), considering the five above-mentioned dimensions to predict IS success: system quality, information quality, use, user satisfaction, and organizational impact. In the previous literature, a diversity of factors and contingencies related to educational innovation undertakings have been highlighted (Ćukušić, Alfirević, Granić, & Garača, 2010;Löfström and Nevgi, 2007). Research is needed to develop models that help to comprehend e-learning education success, which is linked to continuance commitment.…”

Section: E-learning In the Context Of Higher Educationmentioning

confidence: 99%

The Most Waited Engagement in Higher Education: Teachers and Students’ Committed With E-Learning

Torres

Gutiérrez

Rodríguez–Torrico

et al. 2019

JMBE

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Nowadays, it is essential for institutions of higher education to enhance the continuance commitment of users toward e-learning programs to promote and ensure the sustainability of those programs over time. The aim of this research is to identify the factors that might contribute to deepening user commitment toward e-learning systems from key agents’ perspectives (students and teachers). Information was collected from 146 students and 124 teachers participating in e-learning programs in higher education. The results showed that perceived organizational impact is the most important antecedent of continuance commitment. System quality had the highest impact on perceptions of organizational impact among both groups of users.The study showed the need for reconsideration of the role of instructor and system quality in the new educational paradigm, since both variables had no significant direct effect on the continuance commitment of users. This research shows managerial recommendations and directions for deepening commitment toward e-learning systems.

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e-Learning process management and the e-learning performance: Results of a European empirical study

Cited by 65 publications

References 9 publications

Cloud e-learning service strategies for improving e-learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision-making model

Cloud e-learning service strategies for improving e-learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision-making model

HCI and E-Learning

The Most Waited Engagement in Higher Education: Teachers and Students’ Committed With E-Learning

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