scholarly journals PlaceComm: A framework for context-aware applications in place-based virtual communities

2011 ◽  
Vol 3 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Tuan Nguyen ◽  
Seng W. Loke ◽  
Torab Torabi ◽  
Hongen Lu
Keyword(s):  
Virtual Communities ◽  
Context Aware

Ubiquity and Context-Aware M-Learning Model

2014 ◽  
Vol 5 (1) ◽  
pp. 41-55
Author(s):  
Mohammad Alnabhan
Keyword(s):  
Virtual Communities ◽  
Virtual Community ◽  
Learning Model ◽  
Location Information ◽  
Successful Implementation ◽  
Preliminary Evaluation ◽  
Context Aware ◽  
Learning Context ◽  
Seamless Integration ◽  
New Model

This paper presents a new adaptive m-learning model supporting collaborative and context-aware learning. A seamless integration between learners' location information and a set of associated learning context dimensions is used to facilitate the provision of pervasive and ubiquitous learning services. The new model adopts nearest search algorithm in order to group spatially related mobile learners, constructing learning-oriented virtual communities and achieving a collaborative learning experience. The presented model implements two virtual community construction modes, described as client-based and server-based collaboration modes. A preliminary evaluation methodology was conducted, measuring the successful implementation of the proposed new model, and confirming the establishment of the virtual community after considering a set of learning context dimensions; such as learning collaboration type, learning style and learners' location information. Results have confirmed that both collaboration modes were successful in establishing the virtual communities between mobile learners. However, the server-based mode was more scalable than client-based mode while handling the increased number of mobile peers, in which less response time was experienced and a smaller learning grid area was formed.

Ubiquity and Context-Aware M-Learning Model

2015 ◽  
pp. 2005-2020
Author(s):  
Mohammad Alnabhan
Keyword(s):  
Learning Style ◽  
Virtual Communities ◽  
Virtual Community ◽  
Learning Model ◽  
Evaluation Methodology ◽  
Location Information ◽  
Preliminary Evaluation ◽  
Context Aware ◽  
Learning Context ◽  
New Model

This paper presents a new adaptive m-learning model supporting collaborative and context-aware learning. A seamless integration between learners' location information and a set of associated learning context dimensions is used to facilitate the provision of pervasive and ubiquitous learning services. The new model adopts nearest search algorithm in order to group spatially related mobile learners, constructing learning-oriented virtual communities and achieving a collaborative learning experience. The presented model implements two virtual community construction modes, described as client-based and server-based collaboration modes. A preliminary evaluation methodology was conducted, measuring the successful implementation of the proposed new model, and confirming the establishment of the virtual community after considering a set of learning context dimensions; such as learning collaboration type, learning style and learners' location information. Results have confirmed that both collaboration modes were successful in establishing the virtual communities between mobile learners. However, the server-based mode was more scalable than client-based mode while handling the increased number of mobile peers, in which less response time was experienced and a smaller learning grid area was formed.

Spontaneous Social Network: toward dynamic virtual communities based on context-aware computing

2018 ◽  
Vol 95 ◽  
pp. 72-87 ◽  
Author(s):  
Natália de Arruda Botelho Navarro ◽  
Cristiano André da Costa ◽  
Jorge Luis Victoria Barbosa ◽  
Rodrigo da Rosa Righi
Keyword(s):  
Social Network ◽  
Virtual Communities ◽  
Context Aware ◽  
Context Aware Computing

The Challenge of Evaluating Virtual Communities of Practice: A Systematic Mapping Study

10.28945/4505 ◽  
2020 ◽  
Vol 15 ◽  
pp. 039-064
Author(s):  
Rogerio Ferreira da Silva ◽  
Itana Maria de Souza Gimenes ◽  
José Carlos Maldonado
Keyword(s):  
Communities Of Practice ◽  
Virtual Communities ◽  
Evaluation Process ◽  
Evaluation Methods ◽  
Systematic Mapping Study ◽  
Research Gaps ◽  
Systematic Mapping ◽  
Research Questions ◽  
Virtual Communities Of Practice ◽  
Selection Of

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.

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