A Social Network Analysis Perspective on Student Interaction within the Twitter Microblogging Environment

Stepanyan, Karen; Borau, Kerstin; Ullrich, Carsten

doi:10.1109/icalt.2010.27

Cited by 44 publications

(29 citation statements)

References 7 publications

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“…Hence, the use of SNA is considered beneficial for developing our understanding of online practices of teaching and learning [2]. This paper extends the earlier conducted study [3,4] that analysed the use of Twitter for second language learning. This study introduces the gender variable and attempts to identify its association to network measures of student interaction.…”

Section: Introductionsupporting

confidence: 63%

“…This approach is similar to the earlier discussed study [4] that revealed an association of student scores with the number of replies students get and the people they communicate with. This approach may indicate whether gender is, in any way, related to the prominent interaction patterns.…”

Section: Network Dynamics In Relation Tomentioning

confidence: 79%

“…The previous study identified preferences of students to interact with participants of similar achievement scores. At the same time the study indicated a popularity of participants with higher scores [4]. This study is aiming to identify whether there are network interaction patterns that are associated with participant gender.…”

Section: Description Of the Study And Research Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning

Ullrich

Borau

Stepanyan

2010

Sustaining TEL: From Innovation to Learning and Practice

Self Cite

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Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) to identify the patterns and trends of network dynamics. It is building on earlier works that explore associations of student achievement records with the observed network measures. It integrates gender as an additional variable and reports some relation with interaction patterns. Additionally, the paper reports the results of a questionnaire that enables further discussion on the communication patterns.

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Section: Introductionsupporting

confidence: 63%

Section: Network Dynamics In Relation Tomentioning

confidence: 79%

Section: Description Of the Study And Research Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning

Ullrich

Borau

Stepanyan

2010

Sustaining TEL: From Innovation to Learning and Practice

Self Cite

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“…Reference [14] is the study of the analysis of the relationship between Twitter usage patterns of students and student achievement. Reference [15] shows that students who earn a higher grade on environment of the microblogging service own more followers and follow more people. In an environment of microblog, [16] analyzes the trends and usage patterns of various students.…”

Section: Related Workmentioning

confidence: 99%

The Research Trends and the Effectiveness of Smart Learning

Kim

2014

International Journal of Distributed Sensor Networks

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The introduction of useful microblogging services like Twitter derives significant changes in various areas of society. The smart tools such as mobile devices and microblogging services have led to great changes in the traditional way of education. It is possible to access good quality educational contents and methods in a more convenient way. Although a lot of smart tools have been applied for educational application, there are only limited researches that demonstrate the educational effectiveness of smart tools through experiment considerations. In this study, research documents about smart learning from 2007 have been treated based on 5 major searching sites; we investigate the research trends of smart learning of education. The opinion of the researchers about the educational use of smart tools is analyzed. Then, through substantial experiment, we are acquainted that the smart tools have a positive effect on the educational environment. As a practical application, the Twitter microblogging service is used for educational communications in 2 classes of a university during a semester. As a result, we can find that smart tools contribute to increase the efficiency of education, but learners and teachers need to pay considerable efforts on the use of smart tools to achieve the purpose.

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“…A network of relationships consists of resources as well as contexts in which learning takes place. Empirical studies along these lines have shown evidence of the central role networks play in the learning process (e.g., Kellogg et al, 2014;Mansur, Yusof, & Othman, 2011;Siciliano, 2016;Stepanyan, Borau, & Ullrich, 2010;Stepanyan, Mather, & Dalrymple, 2013).…”

Section: Potentials Of Understanding Network Dynamics For Social Learmentioning

confidence: 99%

Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA)

2016

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This study attempts to make inferences about the mechanisms that drive network change over time. It adopts simulation investigation for empirical network analysis to examine the patterns and evolution of relationships formed in the context of a massive open online course (MOOC) discussion forum. Four network effects-homophily, reciprocity, transitivity, and preferential attachment-were tested to explain the dynamic mechanisms of interaction in the MOOC forum. Understanding the network dynamics of relationships will allow us to explore how to develop a robust peer-supported learning environment and in turn improve the online learning experience in MOOCs.

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A Social Network Analysis Perspective on Student Interaction within the Twitter Microblogging Environment

Cited by 44 publications

References 7 publications

Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning

Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning

The Research Trends and the Effectiveness of Smart Learning

Understanding the dynamics of MOOC discussion forums with simulation investigation for empirical network analysis (SIENA)

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