Detecting communities using social network analysis in online learning environments: Systematic literature review

2021 ◽  
Author(s):  
Sahar Yassine ◽  
Seifedine Kadry ◽  
Miguel‐Angel Sicilia
Keyword(s):  
Online Learning ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Learning Environments ◽  
Systematic Literature Review ◽  
Online Learning Environments

scholarly journals Social Network Analysis and Online Learning Communities in Higher Education: A Systematic Literature Review

2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Shazia K. Jan ◽  
Panos Vlachopoulos ◽  
Mitch Parsell
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Learning Communities ◽  
Systematic Literature Review ◽  
Online Learning Communities ◽  
Analytical Technique

This paper presents the results of a systematic literature review which sets out to explore the use of social network analysis (SNA) for investigating online learning communities in higher education. The impetus for such a review originated from an increased interest by researchers in SNA techniques to investigate interactions and learning engagement in various types of online communities. However, the researchers often omit to ground their research and SNA methods in community based learning frameworks such as communities of inquiry (CoI) and communities of practice (CoP). We identified a handful of studies that integrate SNA methods and key constructs from these frameworks and examined: SNA measures and corresponding theoretical constructs used; other analytical techniques used; limitations and; suggestions for further research. We found that while SNA is effective in detecting prominent participants, sub-groups and certain aspects of a CoP, a specific SNA measure cannot be correlated with a particular presence in a CoI. Therefore, SNA needs to be complemented with a qualitative analytical technique. Whether SNA can be used as a stand-alone technique for identifying communities remains to be seen. We also find a lack of consideration to attributional and performance variables in existing studies. In conclusion, we propose the development of a fully integrated research framework for a holistic analysis of online learning and teaching.

scholarly journals Automatic feedback in online learning environments: A systematic literature review

2021 ◽  
pp. 100027
Author(s):  
Anderson Pinheiro Cavalcanti ◽  
Arthur Diego ◽  
Ruan Carvalho ◽  
Fred Freitas ◽  
Yi-Shan Tsai ◽  
...  
Keyword(s):  
Online Learning ◽  
Literature Review ◽  
Learning Environments ◽  
Systematic Literature Review ◽  
Online Learning Environments ◽  
Automatic Feedback

scholarly journals Assessing the impact of socio-technical congruence in software development: a systematic literature review

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Binish Raza ◽  
◽  
Rodina Ahmad ◽  
Mohd H.N.M Nasir ◽  
Shukor S.M Fauzi ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Measurement Techniques ◽  
Evolutionary Trends ◽  
Team Members ◽  
The Impact

Software development is a critical task that depends on coordination among team members and organizational activities that bring team members together. The literature indicates various techniques that have been applied to control the coordination level among team members. Notable among these techniques is social-technical congruence (STC), which helps to measure the alignment between the social and technical capabilities of an organization and teams at various stages of software development. The dynamic nature and changes of coordination requirements make STC a potential research area in this regard. The main objective of this study is to perform a systematic literature review (SLR) that recognizes and structures existing studies that represent new evolutionary trends in the field of STC. A SLR is performed of 46 publications from 4 data sources, including journals, conferences and workshop proceedings, most of which were published between 2008 and 2019. To this end, a thorough analysis is carried out to elicit the studies based on 7 research questions in this SLR. The outcome of this SLR is a set of ample research studies representing various aspects, performance impacts, factors, and evolutionary trends in the field of STC. Furthermore, STC measurement techniques are classified in two distinct groups, matrix based and social network analysis-based measures. After a systematic exploration of these aspects, this study results in new insightful features and state of art of STC. This SLR concludes that some areas still require further investigation. For instance, (1) STC-related literature exists, but only one research work mainly focuses on the risk of overwhelming STC (i.e., excessive STC measurement may overburden the software development process); (2) STC measurement techniques facilitate the identification of congruence gaps, but no attention has been given towards the unweighted social network analysis based STC measurement models; (3) STC measurement techniques are generally applied in the development phase of the project lifecycle, but these measurements are rarely used in other software development phases, such as the requirement and testing phases or all phases; and (4) The development factors that effects on STC measurement are rarely focused by researchers in the context of various domains.

scholarly journals Social Network Analysis on Lean Production and World Class Manufacturing: how are associated in the literature?

2017 ◽  
Vol 8 (2) ◽  
pp. 536 ◽  
Author(s):  
Gustavo Antiqueira Goes ◽  
Eduardo Guilherme Satolo ◽  
Timóteo Ramos Queiroz ◽  
Cristiane Hengler Correa Bernardo ◽  
Juliana Delgado Martins Raymundo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Initial Phase ◽  
Lean Production ◽  
World Class ◽  
Characteristic Part ◽  
World Class Manufacturing

This paper aims to conduct a Systematic Literature Review (SLR) to identify how to configure the publications that relate WCM and Lean Production issues. Therefore, a search on the Brazilian metasearch portal called CAPES Periodicals was conducted focusing on articles of the last five years. They were identified after screening and filtering a total of 42 articles, which were analyzed. The construction of the network analysis has identified that the issues are still in an initial phase of association, with the characteristic part of decentralizes networks, with some points of greatest association. It was also identified that the theme Lean Production has greater representation between the two topics due its higher use by authors.

Social Network Analysis in Software Development Projects: A Systematic Literature Review

2020 ◽  
Vol 30 (03) ◽  
pp. 321-362
Author(s):  
Roland Robert Schreiber ◽  
Matthäus Paul Zylka
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Project Teams ◽  
Development Projects ◽  
Project Organization

Software development in project teams has become more and more complex, with increasing demands for information and decision making. Software development in projects also hugely depends on effective interaction between people, and human factors have been identified as key to successful software projects. Especially in this context, managing and analyzing social networks is highly important. The instrument of social network analysis (SNA) provides fine-grained methods for analyzing social networks in project teams, going beyond the traditional tools and techniques of project management. This paper examines the importance of the application of SNA in software development projects. We conducted a systematic literature review (SLR) of research on software development projects and social network data published between 1980 and 2019. We identified and analyzed 86 relevant studies, finding that research on software development projects spans the topics of project organization, communication management, knowledge management, version and configuration management, requirement management, and risk management. Further, we show that most studies focus on project organization and that the most common method used to gather social data relies on automated extraction from various software development repositories in the SNA context. Our paper contributes to the software development literature by providing a broad overview of published studies on the use of social networks in helping software development projects. Finally, we identify research opportunities and make suggestions for addressing existing research gaps.

scholarly journals Factors Contributing to Student Retention in Online Learning and Recommended Strategies for Improvement: A Systematic Literature Review

10.28945/4182 ◽  
2019 ◽  
Vol 18 ◽  
pp. 019-057 ◽  
Author(s):  
Pauline Salim Muljana ◽  
Tian Luo
Keyword(s):  
Online Learning ◽  
Literature Review ◽  
Student Retention ◽  
Learning Environments ◽  
Systematic Literature Review ◽  
Retention Rates ◽  
Future Research ◽  
Behavioral Characteristics ◽  
Online Students ◽  
Online Learning Environments

Aim/Purpose: This systematic literature review investigates the underlying factors that influence the gap between the popularity of online learning and its completion rate. The review scope within this paper includes an observation of possible causal aspects within the non-ideal completion rates in online learning environments and an identification of recommended strategies to increase retention rates. Background: While online learning is increasingly popular, and the number of online students is steadily growing, student retention rates are significantly lower than those in the traditional environment. Despite the multitude of studies, many institutions are still searching for solutions for this matter. Methodology: A systematic literature review was conducted on 40 studies published between 2010 and 2018. We established a set of criteria to guide the selection of eligible articles including topic relevance (aligned with the research questions), empirical studies, and publication time frame. Further steps were performed through a major database searching, abstract screening, full-text analysis, and synthesis process. Contribution: This study adds to expanding literature regarding student retention and strategies in online learning environments within the higher education setting. Findings: Revealed factors include institutional support, the level difficulty of the programs, promotion of a sense of belonging, facilitation of learning, course design, student behavioral characteristics, and demographic variables along with other personal variables. The recommended strategies identified for improving student retention are early interventions, at-all-times supports for students, effective communication, support for faculty teaching online classes, high-quality instructional feedback and strategies, guidance to foster positive behavioral characteristics, and collaboration among stakeholders to support online students. Recommendations for Practitioners: Since factors within the open systems of online learning are interrelated, we recommend a collective effort from multiple stakeholders when addressing retention issues in online learning. Recommendation for Researchers: We recommend that fellow scholars consider focusing on each influential factor and recommendation in regard to student retention in online learning environments as synthesized in this study. Findings will further enrich the literature on student retention in online learning environments. Future Research: Future research may investigate various data-mining and analytics techniques pertaining to detection and prediction of at-risk students, the efficacy of student support and faculty support programs, and ways to encourage struggling students to adopt effective strategies that potentially engender positive learning behaviors.

Herding Cats

2010 ◽  
pp. 284-300
Author(s):  
Donald N. Philip
Keyword(s):  
Online Learning ◽  
Social Network ◽  
Network Analysis ◽  
Learning Environments ◽  
Learning Process ◽  
Knowledge Building ◽  
Traditional Classroom ◽  
Process Data ◽  
Communications Networks ◽  
Face To Face

Teachers using online learning environments have found that traditional classroom control techniques do not work when applied online. Instead, other approaches need to be used. This chapter introduces the concept of knowledge-building as an approach that is effective in online learning, and the concept of protocological control as a means of controlling the communications networks that evolve during the learning process. Data from a study involving students in a gr. 5/6 hybrid (online and face-to-face) class are used to illustrate how the teacher controls the learning process when the students all work independently of each other. The use of social network analysis as a tool for visualizing the communications networks that form is demonstrated.

scholarly journals The Effects of Gamification in Online Learning Environments: A Systematic Literature Review

Informatics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 32 ◽  
Author(s):  
Alessandra Antonaci ◽  
Roland Klemke ◽  
Marcus Specht
Keyword(s):  
Online Learning ◽  
Literature Review ◽  
Online Education ◽  
Systematic Literature Review ◽  
Online Learning Environments ◽  
Massive Online Open Courses ◽  
Open Courses ◽  
Number Of Publications ◽  
Game Elements

Gamification has recently been presented as a successful strategy to engage users, with potential for online education. However, while the number of publications on gamification has been increasing in recent years, a classification of its empirical effects is still missing. We present a systematic literature review conducted with the purpose of closing this gap by clarifying what effects gamification generates on users’ behaviour in online learning. Based on the studies analysed, the game elements most used in the literature are identified and mapped with the effects they produced on learners. Furthermore, we cluster these empirical effects of gamification into six areas: performance, motivation, engagement, attitude towards gamification, collaboration, and social awareness. The findings of our systematic literature review point out that gamification and its application in online learning and in particular in Massive Online Open Courses (MOOCs) are still a young field, lacking in empirical experiments and evidence with a tendency of using gamification mainly as external rewards. Based on these results, important considerations for the gamification design of MOOCs are drawn.

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