Management Strategies and Participant Population of Knowledge Sharing Virtual Communities: A Simulation Based on Lotka-Volterra Model

Li, Yang; Jiang, Dandan; You, Jun

doi:10.4156/jdcta.vol6.issue23.87

Cited by 1 publication

(1 citation statement)

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“…It can be seen then that one of the principles of this type of community is strengthened when one of the emerging themes is related to collaborative work among members. Against this, Li, Jiang, & You (2012) suggest that one of the biggest challenges posed by virtual learning communities is related to the exchange of 1998-2007 2008-2015 knowledge among members of the same, which means a greater effort by those who develop this type of scenarios to seek the strengthening of this important component. Finally, the authors argue that to promote the exchange of knowledge within these communities efforts should be focused on elements such as mutual trust, self-efficacy, reciprocity, motivation of participants and interpersonal relationships.…”

Section: Knowledge Sharingmentioning

confidence: 99%

Research Trends in the Study of ICT Based Learning Communities: A Bibliometric Analysis

Bermúdez-Hernández

Naffah

Valencia

et al. 2017

EURASIA J MATH SCI T

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The current opportunities to develop and acquire knowledge in the network, Information and Communications Technology (ICT) play a major role in the learning process. This research offers a bibliometric analysis in order to examine the state of the research activity carried out in relation to the learning communities based on ICT. The indicators obtained show steady growth since the study of ICT applied to models of teaching and learning began in the nineties, presenting a significant increase in interest on the subject in the year 2005 and the highest productivity of publications in the years 2010 and 2011. The countries with the largest contribution to the study of ICT in learning contexts are China, the US and Taiwan, leading research processes in the area. It was possible to identify that some of the issues that have emergent behavior are related to knowledge sharing, confidence-building mechanisms and networked learning.

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Section: Knowledge Sharingmentioning

confidence: 99%