Developing an integrated Web engine for online Internetworking education: a case study

Sivakumar, S.; Robertson, William

doi:10.1108/10662240410530880

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…suburban areas), countries, or even those in the same urban area universities offering dissimilar e‐learning models (e.g. Dahl and Vossen, 2008; Lu and Yeh, 2008; Hu et al , 2008; Sivakumar and Robertson, 2004). Therefore, the current data collected from the particular organizations in Taiwan may not be fully representative of other scenarios.…”

Section: Discussionmentioning

confidence: 99%

Influence of online learning skills in cyberspace

Kuo²,

Lin³

2010

Internet Research

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PurposeThis study aims to propose a conceptual structural equation model to investigate the relationships among e‐learning system quality, e‐learning readiness, e‐learners' competency as well as learning outcomes, and to demonstrate the direct and indirect effect of e‐learning system quality and e‐learning readiness on learning outcomes from the perspectives of e‐learners' competency.Design/methodology/approachA questionnaire was distributed to 379 full‐time employees from ten technological companies in Taiwan who have had e‐learning experience (n=379). Data were analyzed by employing structural equation modeling.FindingsResults reveal that both e‐learning system quality and e‐learning readiness have a direct and significant impact on e‐learners' competency. However, e‐learning system quality and e‐learning readiness influence learning outcomes indirectly through e‐learners' competency. In addition, e‐learners' competency has direct and positive significant influence on learning outcomes.Practical implicationsBased on these findings, organizations in Taiwan that would like to implement e‐learning with their employees should focus on improving individuals' online learning skills such as self‐direction, meta‐cognitive, and collaborative skills.Originality/valueThe findings created an understanding of what attributes of external and internal factors influence the outcome of e‐learning in high tech companies. In terms of research contributions, the study extends previous researches by identifying the mediating effect of e‐learning competency on the relationship between e‐learning system quality, e‐learning readiness and learning outcome. Organizations that would like to adopt e‐learning to improve employees' knowledge and skills will be able to apply strategies based on the findings from the research.

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Section: Discussionmentioning

confidence: 99%

Influence of online learning skills in cyberspace

Kuo²,

Lin³

2010

Internet Research

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“…Although as yet untested in the virtual community and the online education literature, we would presume that course expectations and guidelines will help students understand how interactions are to be managed in the virtual community and the extent to which these interactions help to positively impact quality course content. It is also expected that the perceived quality of the course infrastructure will influence the ease to which interactions take place and how content is delivered (Grandzol, 2004;Sivakumar & Robertson, 2004;Tham & Werner, 2005). We posit that Hypothesis 4b: Course structure is positively related to the perceived quality of course content.…”

Section: Course Structurementioning

confidence: 99%

The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model

Peltier

Schibrowsky

Drago

2007

Journal of Marketing Education

187

134

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A structural model of the drivers of online education is proposed and tested. The findings help to identify the interrelated nature of the lectures delivered via technology outside of the traditional classroom, the importance of mentoring, the need to develop course structure, the changing roles for instructors and students, and the importance of designing and delivering course content on the enhancement of the online learning experience. The results support an integrated, building-block approach for developing successful online programs and courses.

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“…The INWK/IS lab consists of PCs and servers, networking devices, and network simulation software. In our previous research (Sivakumar et al, 2004) we have addressed design and implementation of a synchronous remote site INWK lab. The online IWE lab architecture must be designed to provide both synchronous and asynchronous access to the remote lab equipment, the OLT and lab OEM.…”

Section: Iwe Architecture Design Issuesmentioning

confidence: 99%

PEDAGOGICAL FRAMEWORKS AND TECHNOLOGIES FOR ONLINE NETWORK LABORATORY INSTRUCTION - Research issues in matching technology to pedagogical processes

Sivakumar¹

2005

Proceedings of the Seventh International Conference on Enterprise Information Systems

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We investigate the technological issues involved in designing an electronic learning system that adapts pedagogical approaches and best practice instructional strategies to model, design and implement a blended virtual learning space. We discuss technology issues that are challenging in the design and implementation of a modular integrated web environment (IWE) used to deliver online network laboratory learning. We show that the IWE must incorporate an online laboratory tutorial system for guided practice to elicit performance from the learner. Also, the learning space must be designed to match the quality of service (QoS) requirements to the interaction taking place in the learning space and the characteristics of the delivery media must be matched to learning process. This approach promotes good student interaction & infrastructure management.

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Developing an integrated Web engine for online Internetworking education: a case study

Cited by 6 publications

References 20 publications

Influence of online learning skills in cyberspace

Influence of online learning skills in cyberspace

The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model

PEDAGOGICAL FRAMEWORKS AND TECHNOLOGIES FOR ONLINE NETWORK LABORATORY INSTRUCTION - Research issues in matching technology to pedagogical processes

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