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A Metric to Assess Brokerage Positions Within Social Networking Sites
Abstract
Background/Context: Teachers and educational professionals can draw on (informal) networks to foster their professional development. Moreover, a growing number of studies have shown that teachers use social networking sites (SNSs), such as Twitter, to keep up to date with the latest news on education and share resources with colleagues. Additionally, social capital can help to explain potential benefits of networking and has already been used to better understand professional development.
Purpose/Objective/Research Question/Focus of Study: The aim of this study is to contribute to a better understanding of the informal networking of educators in SNSs. To achieve this goal, we first indicate how the concept of social capital can be used to assess communication flows within SNSs. Then, we consider social networking metrics and question whether they are as relevant in an online realm. Next, we argue for an adjusted brokerage index, namely the social brokerage index (SBI), which can help to shed light on how brokerage positions are shaped by different people within SNSs. Finally, we provide empirical data from six educational hashtag conversations on Twitter to test the relevance and applicability of the SBI.
Research Design: Using Twitter data from six (international) hashtag conversations between teachers and educational professionals, we apply social network analysis methods to assess the potential formation of social capital. In applying this method to the Twitter conversations in question, we first collected data on the Twitter users who contributed to the applicable hashtag conversation. Subsequently, we built directed unweighted one-mode networks based on mentions, and replies matrices. Second, we computed the in-degree, out-degree, and overall degree centrality metrics of all users (nodes) taking part in the applicable hashtag discussions. Additionally, we also determined users’ brokerage positions, which is another indicator for social capital formation within networks. Questioning the relevance of these metrics in the context of SNSs, we propose the SBI, which departs from previous work that has largely been framed by considerations around general account characteristics (follower/following ratio), general communication patterns (retweet/mention ratio), or in-degree metrics.
Conclusions/Recommendations: Based on our findings, we believe that our proposed SBI has added value to the analyses of network behavior beyond the scope of Twitter. More specifically, the SBI could help to understand what type of discussions draw what type of participants and thereby shed more light on how SNSs contribute to social capital formation among teachers and educational professionals.
... According to Organization for Economic Cooperation and Development (OECD), an innovation is "a new or improved product or process (or combination thereof) that differs significantly from the unit's previous products or processes and that has been made available to potential users (product) or brought into use by the unit (process)" (OECD/Eurostat, 2018). An innovation, P accordingly, is the implementation of new information and communication technologies and new collaborative approaches to learning and learning outcomes (Finsterwald et al., 2013;Rehm et al., 2020). Specifically, it is the operationalization of self-regulated learning (e.g. ...
An essential and prima facie component for effective technology integration in education and management of schools is the sense of - efficacy of the school principal. This promising, but largely unexplored avenue in research was the aim of this study that employed a quantitative method design using The Principal Sense of Efficacy Scale (PSES) (Tchannen-Moran & Gareis, 2004) to measure school principals’ sense of efficacy and Level of technology integration for assessing the various levels of technology integration (LoTi) Moersch (1999) to measure school principals’ level of technology integration. 167 school principals working in different regions of Morocco formed the population concerned. Findings of the study demonstrated that Moroccan school principals have a moderate sense of efficacy at (PSES) scale and low sense of efficacy at the sub-scales wherein Moral –efficacy (M = 24.40, SD = 3.96), management –efficacy (M = 30.72, SD = 3.60) and finally instructional efficacy levels (M= 28.85, SD = 4.14). These significant differences in descriptive statistics reached significance in the inferential analyses as well.
Purpose
In response to challenges in traditional professional development, educators are increasingly utilizing social media platforms to customize their learning experiences and facilitate their professional growth. This systematic literature review seeks to examine articles published between January 2018 and July 2023 to synthesize evidence on the ways in which teachers are leveraging social media to improve their teaching practices.
Design/methodology/approach
The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to guide the literature review process. First, the authors established synthesis questions, set up eligibility criteria and determined search engines and search terms to identify the relevant literature. Second, the authors sorted and selected from the preliminary article search and screened based on the established criteria. Finally, the authors analyzed each selected article’s content, which included coding, interpreting the themes and organizing the findings.
Findings
Teachers are increasingly using social media for professional development, engaging in collaboration, empowering connection, and relationship-building through teacherpreneurship. They take on various roles, from info-consumers and info-networkers to self-seeking contributors, vocationalists and lurkers. Despite these benefits, challenges remain, such as potential for unexpected misunderstandings, social comparison that can lead to low self-esteem, which can hinder effective engagement in social media-based professional development. Additionally, this paper observed a growing trend in scholarly articles on this topic, particularly from 2020, 2021 and 2022, highlighting its increasing relevance and impact on the educational community.
Research limitations/implications
This systematic literature review focused exclusively on studies involving in-service K-12 teachers as participants, excluding perspectives from preservice teachers, higher education instructors, instructional coaches and school administrators. While these other educational professionals undoubtedly offer valuable insights into improving teaching practices and contribute significantly to social media-based professional development, this review aimed to center the experiences of K-12 in-service teachers to understand their unique professional development needs and practices. Consequently, it does not capture the potential synergies between K-12 teachers and other educator groups, such as the ways in which school administrators might support or enhance in-service teachers’ professional development through social media. Future studies could explore these interactions more deeply to provide a fuller picture of the collective expertise within these groups.
Practical implications
The COVID-19 pandemic underscored the value of social media for informal professional development, as shown by the increased number of publications on this topic during that period. However, some social media platforms prioritize consumerism over educational resources, emphasizing the need for educators to critically evaluate their sources. Teachers should be discerning in their resource selection, ensuring that educational references are credible and free of hidden costs.
Social implications
This study uncovered several unique patterns in how teachers use social media, revealing both benefits and challenges. Notably, some teachers are leveraging social media not only to build professional connections but also to engage in commercial activities. While this practice can create a supportive network – where teachers promote one another’s visibility, share products and seek support – it can also detract from the intended purpose of professional learning. The focus on brand-building and profit-making may overshadow authentic community-building and collaborative growth. Additionally, the presence of paid content introduces financial barriers, as many teachers have limited resources for professional development.
Originality/value
This study provides a comprehensive review of recent literature (January 2018 to July 2023) on teachers' use of social media for professional development and learning, offering fresh insights into emerging trends. Notably, findings of this study highlight the role of teacherpreneurship in fostering beneficial social connections within digital spaces, a factor that has gained prominence as teachers seek collaborative and supportive networks. Additionally, this research sheds light on lurking as a common strategy among teachers to avoid conflict and misunderstandings when engaging in social media-based professional development. Furthermore, by addressing various challenges, this paper presents suggestions for thoughtfully integrating social media into school professional development programs, with the intention of supporting the diverse needs of teachers and fostering their professional growth.
Educational leadership is a widely discussed topic in educational science. However, although the study of socialnetworks in (informal) educational settings is gaining interest in recent years, the intersection between leadership and online social networks has received limited attention. This article investigates the informal sets of networks in both social media and face-to-face spaces in which elementary principals engage in the access, use, and diffusion of information. We undertook an exploratory case study in an urban midsize public school district in the United States and collected online and face-to-face network data from a districtwide leadership team of 97 leaders. Our results shed some light on the underlying information exchange patterns and identify commonalities and differences that are useful to consider for practitioners and policy makers who would like to foster the (informal) professional development of educators, and particularly elementary principals, who often do not have access to more formalized forms of professional development or just-in-time access to resources.
Nur wenige Studien haben bis dato untersucht, wie Holocaust-Organisationen Soziale Medien in ihrer Öffentlichkeits- und Bildungsarbeit einsetzen. Diese Studie präsentiert die Resultate einer Literaturrecherche zur Nutzung von sozialen Medien für die Holocaust-Gedenkarbeit und -Erziehung sowie die Ergebnisse einer quantitativen Vorstudie zur Twitter-Nutzung von sechs Holocaust-Museen und -Organisationen in Deutschland und Italien.
To date, few studies have investigated social media use in Holocaust organizations to engage general public and to help expand their knowledge of the Holocaust. We present an overview of the literature about the usage of social media for Holocaust memorialisation and education and a preliminary study on the usage of Twitter in a sample of six Holocaust museums or organisations in Germany and Italy. Along with the results of a first quantitative analysis, we also provide indications for future research.
The Common Core has become a flashpoint at the nexus of education politics and policy, fueled by ardent social media activists. To explore this phenomenon, this innovative and interactive website examines the Common Core debate through the lens of the influential social media site Twitter. Using a social network perspective that examines the relationships among actors, we focus on the most highly used Twitter hashtag about the Common Core: #commoncore. The central question of our investigation is: How are social media-enabled social networks changing the discourse in American politics that produces and sustains social policy? To join a conversation about this research in an open forum, tweet using #htagcommoncore.
Informal online communities and networks offer teachers the possibility of voluntarily engaging in shared learning, reflecting about teaching practice and receiving emotional support. Bottom-up online communities and networks are an important source of professional development, although research around these social learning structures mainly consists in describing particular cases using a wide diversity of theoretical and methodological approaches. This review analyses the existing theoretical frameworks and methodological approaches, the main characteristics and practices of online communities and networks, as well as their principal repercussions in teacher professional development. A critical analysis of the emergent themes in the revised articles sheds light on eligible perspectives for further research.
This papers aims to explore how "working with tweets" differs from "working with chats". With eight experimental sessions involving 120 Italian students, we investigate how the well known 140-characters limit and other subtle differences between Twitter and a typical instant messenger affect group problem solving performances. In our laboratory experiment, teams of the same size carry out a problem solving task communicating via Twitter or Skype instant messaging. Comparative group performance is measured in terms of successful task completion time. Our results show that the lower number and volume of text messages exchanged via Twitter does not negatively affect group performance: Twitter teams are just as effective as Skype instant messaging teams. These results can be interpreted in accordance with the latest developments in multiple media choice and virtual team effectiveness theories, disclosing interesting windows of opportunities for "working with tweets" in the forthcoming organizational settings.
Micro-blogs like Twitter are playing increasingly important roles in social life. Some key users of Twitter have drawn huge attention from other people. Their opinions have had significant influence on the rest of Twitter users. In other words, these people are highly reputable and have more social capital in the Twitter world. But what factors contribute to the social capital in a part of the virtual world like Twitter is still largely unknown. This paper investigates the source of social capital in the Twitter world. We identify two types of sources that influence a user's social capital in the Twitter world: (1) inherited capital from outside the Twitter world; and (2) social activities conducted within the Twitter world. The results show that both inherited capital from outside, and activities within, the Twitter world, have positive influence on a user's social capital in the Twitter world. Our results suggest that social capital can be transferred from the real world to the virtual one. Meanwhile the inherited social capital of a user from outside the Twitter world significantly impacts the level of activities the user undertakes in the Twitter world. For ordinary people, inherited social capital positively associates with the level of their social activities in the Twitter world. But for the most well known Twitter users, who are usually celebrities, this relationship is negative. Implications for research and practice are further discussed.
Centrality is one of the most studied concepts in social network analysis. There is a huge literature regarding centrality measures, as ways to identify the most relevant users in a social network. The challenge is to find measures that can be computed efficiently, and that can be able to classify the users according to relevance criteria as close as possible to reality. We address this problem in the context of the Twitter network, an online social networking service with millions of users and an impressive flow of messages that are published and spread daily by interactions between users. Twitter has different types of users, but the greatest utility lies in finding the most influential ones. The purpose of this article is to collect and classify the different Twitter influence measures that exist so far in literature. These measures are very diverse. Some are based on simple metrics provided by the Twitter API, while others are based on complex mathematical models. Several measures are based on the PageRank algorithm, traditionally used to rank the websites on the Internet. Some others consider the timeline of publication, others the content of the messages, some are focused on specific topics, and others try to make predictions. We consider all these aspects, and some additional ones. Furthermore, we include measures of activity and popularity, the traditional mechanisms to correlate measures, and some important aspects of computational complexity for this particular context.
‘Unconferences’ are a non-traditional form of professional activity defined by the absence of many conventional conference structures. One example of the unconference model is the ‘Edcamp,’ a voluntary, participant-driven form of grassroots educator professional learning. More than 600 of these events have been held worldwide since the first in 2010. This exploratory study situates Edcamps in relationship to the literature on educator professional development and teacher collaboration, and reports on data gathered from 95 participants in an Edcamp in the United States. Respondents indicated diverse motivations for their Edcamp participation, including colleagues’ recommendations, anticipated learning and the desire to network and collaborate. Respondents generally rated their Edcamp experiences highly, and overwhelmingly reported intentions to attend future Edcamps. The positive environment, participant autonomy and integration of technology were highlighted. Most participants, however, also identified ways in which their experiences could have been improved. The nature and topics of discussion, as well as challenges associated with Edcamp novices and technology, presented barriers to full participation. Implications of this research for educators, researchers and educational institutions are discussed.
This paper documents the creation, implementation and analysis of a survey instrument designed to reveal patterns of use and attitudes towards the value of social media by UK teachers. The study was motivated to discover which teachers use social media professionally, how they use it (both personally and professionally) and attitudes to social media as a professional tool (for their students' and their own professional use). The instrument was created from verbal data from two focus group discussions regarding the use of social media in education. Attitude statements were included verbatim when practical. This instrument was placed online and practising teachers invited to complete it (n = 216). Exploratory factor analysis and hierarchical clustering identified 9 factors from 54 attitude statements and 5 distinct teacher groups. The rich data allowed each group to be carefully defined, providing potentially invaluable information to school leaders when developing social media projects to recognize and accommodate the full range of teacher concerns and experience. The paper also addresses methodological concerns regarding instrument creation, dealing with missing data and the impact of missing data on subsequent analysis.
In this paper we argue for the position that responsible safeguards for privacy and ethical treatment of human data are of vital importance to retain the public confidence and trust that is necessary for the development and future success of internet mediated research (IMR). We support our position based on the high level of popular and media attention that is currently directed at IMR, which in combination with the relative uncertainties that still exist around the ethics of various IMR methods, raises the risk that IMR might succumb to a public backlash of similar proportions to the controversy that hit genetically modified (GM) crops in Europe. Based on the lessons that came out of the GM crops controversy we discuss the ethics requirements and challenges that must be met in order to retain the public trust in IMR. We end our argument by briefly reviewing a couple of examples of " privacy protecting architectures " that are being developed for IMR.
In this paper, we review and analyze the emerging network paradigm in organizational research. We begin with a conventional review of recent research organized around recognized research streams. Next, we analyze this research, developing a set of dimensions along which network studies vary, including direction of causality, levels of analysis, explanatory goals, and explanatory mechanisms. We use the latter two dimensions to construct a 2-by-2 table cross-classifying studies of network consequences into four canonical types: structural social capital, social access to resources, contagion, and environmental shaping. We note the rise in popularity of studies with a greater sense of agency than was traditional in network research.
This paper focuses on how beginning teachers gain support during teacher training, applying concepts of social capital to understand how personal networks can give access to affective and cognitive support. It is based on qualitative case studies of three secondary school trainees during a full-time year-long programme in England. Relationships which supported trainees' developing practice can be characterised differently to those which enhanced their sense of belonging to the profession. Whether supportive relationships developed depended not only on the actions and attitudes of the trainees but also those of others. The paper suggests wider implications for the support of beginning teachers.
Over 1 billion people use social media every day. When researcher want to utilize these data to study human behavior on global scale several issues arise. Do people on online platforms represent society? Do people behave online like they do offline? Do our scientific methods fit social media data? These challenges are discussed in a new article authored by Derek Ruths and Jürgen Pfeffer.
This study investigated K12 teachers’ Facebook usage habits, intensity, self-disclosure, privacy settings and activities. A multi-method design was employed by collecting quantitative data from 616 teachers with a Facebook account using an online questionnaire and qualitative data from 32 teachers using online open-ended questions. The results of the study showed that Facebook seems to be part of teachers’ daily routines. Moreover, they revealed that teachers were less likely to share sensitive and potentially stigmatising personal information on Facebook. Teachers were also found to set most of their Facebook privacy settings as “Friends” by taking intimacy, unwanted contacts and potential threats into consideration. Furthermore, the findings indicated that teachers felt themselves less comfortable when parents and students viewed their Facebook profiles. In addition to social engagement, teachers pointed out several ways in which Facebook was used to support educational and professional development practices. Implications, limitations and directions to further studies are discussed.
Two months before the first Occupy Wall Street (OWS) protest in September 2011, activists were using Twitter to organize and spread the movement. In this study, the earliest Twitter messages regarding #OccupyWallStreet were subjected to network analysis to answer these questions: What were the central hubs in the OWS discourse on Twitter in the summer of 2011? How did OWS emerge from among several social movement organizations to lead a nationwide series of demonstrations? What were the key points in the Twitter dialogue that aided the process of scale shift? By addressing these questions, this research connects social movement concepts with network centrality measures to provide a clearer picture of movements in the digital era.
he aim of this research is to explore what kinds of insights information visualization of social media data can provide for co-organizing conferences. Our paper focuses on Twitter in ‘during-conference’ use. We present a case study based on CMAD2013 conference and on the tweet traffic during the conference day. We applied the process of data-driven visual network analysis for providing insights on Twitter use during CMAD2013 conference day. By analyzing the network of conference participants and the conference’s discussion topics, we were able to identify e.g. influential conference delegates, most interesting presentations and discussions, similarities between interests of the conference participants, and several development and information needs of conference co-organization derived from the information visualizations, which have implications for the planning and co-organizing of conferences, as well as for Twitter use in communicating during conferences.
Purpose: Increasing evidence suggests the importance of relationships between district and site leaders. However, there is limited empirical evidence regarding the social infrastructure between and among leaders especially as related to the exchange of advice related to reform. Moreover, we have limited understanding regarding the mechanisms that are associated with how certain leaders occupy influential social positions. Method: Using social network data from district and site leaders, we conducted social network analysis and regression models to examine the relationship between a leader's network position measured by incoming, outgoing, and close ties; personality traits; and leader self-efficacy controlling for demographics. Findings: Findings indicate that leaders with more incoming advice relationships from other leaders were associated with more years of experience in the district, being self-identified as "neurotic," reporting higher efficacy in leading reform, and less efficacy in management. Leaders with more outgoing advice ties also self-identified as "neurotic" and reported lower efficacy in management. Leaders who were readily sought in terms of advice were explained by the number of years in the district and the self-reported
Modern economics has placed lifelong learning (LLL) at the center of an intensive ongoing political debate. Evidenced-based interventions are needed, not only in continuing education courses for teachers, but also in schools. This paper introduces evaluation results of TALK, a teacher education program for professional teachers with the objective of fostering LLL in schools. Two main goals were investigated: effects on teacher competences and cooperation. 40 secondary-school teachers participated. Repeated measures in a control group design established the gains of TALK: It must be evaluated as a program which is successful in the robust enhancement of teacher competences and cooperation.
An extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software and data sets are available so readers can learn network analysis through application and case studies. Readers will have the knowledge, skill and tools to apply social network analysis across the social sciences, from anthropology and sociology to business administration and history. This second edition has a new chapter on random network models, for example, scale-free and small-world networks and Monte Carlo simulation; discussion of multiple relations, islands and matrix multiplication; new structural indices such as eigenvector centrality, degree distribution and clustering coefficients; new visualization options that include circular layout for partitions and drawing a network geographically as a 3D surface; and using Unicode labels.
Two months before the first Occupy Wall Street (OWS) protest in September 2011, activists were using Twitter to organize and spread the movement. In this study, the earliest Twitter messages regarding #OccupyWallStreet were subjected to network analysis to answer these questions: What were the central hubs in the O WS discourse on Twitter in the summer of 2011? How did OWS emerge from among several social movement organizations to lead a nationwide series of demonstrations? What were the key points in the Twitter dialogue that aided the process ofscale shift? By addressing these questions, this research connects social movement concepts with network centrality measures to provide a clearer picture ofmovements in the digital era.
This article focuses on the quality of instructional networks in different stages of professional development. Drawing theoretically from social capital theory and literature on teacher interaction, we conducted in-depth interviews with 30 instructors at the university level. Using qualitative social network analysis to capture and analyze networks, we found that the quality of instructors’ interactions varied across developmental stages (novice, experienced non-expert, and expert instructors), both in terms of interdependence and opportunities for value creation. These findings offer valuable leverage for shaping educators’ everyday professional development and increasing teaching capacity through quality interaction.
The purpose of this study is to empirically investigate the relationship between the social capital accumulated among network members and the performance of learning networks in terms of their ability to enhance knowledge sharing among network members. A network level perspective guided the sampling strategy adopted for this survey involving 150 members of 16 European learning networks. Hierarchical multiple regression and structural equation modelling were employed to investigate the inter-relationships between dimensions of social capital and knowledge sharing in learning networks. The results reveal that social interaction and cognitive social capital are positively and significantly related to knowledge sharing in learning networks. Social interaction is also shown to play an important role in the development of shared vision and shared language (i.e. cognitive social capital) in learning networks. This paper sheds further light on the inter-relationships between different dimensions of social capital from a network (rather than firm) level perspective, and contributes to emerging theory on the antecedents to, and assessment of, performance in learning network entities.
Network analysis is a valuable method for investigating and mapping the phenomena driving the social structure and sharing the findings with others. This article contributes to an emerging field of ‘smart data’ research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct an informal learning environment around an annually organized conference. In this empirical study we explore informal learning behavior in the project context, especially by analyzing and visualizing informal learning behavior from Twitter data using the Ostinato Model introduced in this paper. Ostinato is an iterative, user-centric, process-automated model for data-driven visual network analytics.
I present argument and evidence for a structural ecology of social capital that describes how the value of social capital to an individual is contingent on the number of people doing the same work. The information and control benefits of bridging the structural holes-or, disconnections between nonredundant contacts in a network-that constitute social capital are especially valuable to managers with few peers. Such managers do not have the guiding frame of reference for behavior provided by numerous competitors, and the work they do does not have the legitimacy provided by numerous people doing the same kind of work. I use network and performance data on a probability sample of senior managers to show how the value of social capital, high on average for the managers, varies as a power function of the number of people doing the same work.
In response to rapid change and fierce competition, creativity is an imperative factor to develop and implement innovation. Hence, most firms have pursued diverse strategies to promote individual and team creativity in the workplace. Shared leadership is a voluntarily, informally emergent structure beyond vertical leadership. A team is composed of individual members, and shared leadership and demographic diversity exist within the team, influencing team creativity. In this respect, we introduced shared leadership as a social network perspective as well as diversity into a team creativity model. In sum, we examined the influence of shared leadership and diversity on knowledge sharing and the subsequent effects on team creativity. Our results showed that role diversity directly influences team creativity, with shared leadership and knowledge sharing positively contributing to team creativity. Thus, knowledge sharing had a partially mediating role between shared leadership and team creativity. Apart from our hypotheses, the present results implied that if gender diversity (as a differentiated factor) is not a minority status, knowledge sharing may have a fully mediating effect between gender diversity and team creativity.
This unique and ground-breaking book is the result of 15 years research and synthesises over 800 meta-analyses on the influences on achievement in school-aged students. It builds a story about the power of teachers, feedback, and a model of learning and understanding. The research involves many millions of students and represents the largest ever evidence based research into what actually works in schools to improve learning. Areas covered include the influence of the student, home, school, curricula, teacher, and teaching strategies. A model of teaching and learning is developed based on the notion of visible teaching and visible learning. A major message is that what works best for students is similar to what works best for teachers - an attention to setting challenging learning intentions, being clear about what success means, and an attention to learning strategies for developing conceptual understanding about what teachers and students know and understand. Although the current evidence based fad has turned into a debate about test scores, this book is about using evidence to build and defend a model of teaching and learning. A major contribution is a fascinating benchmark/dashboard for comparing many innovations in teaching and schools.
This study views social capital as a precursor of SNS (Social Network Service) use, which departs from the previous thoughts that considered social capital as the outcome of SNS activities. Drawing upon the theoretical premises regarding network-based social capital, this study examines the roles of subjective well-being and social identity in terms of their moderating as well as mediating influences on SNS use. This study sought to sub-categorize social capital and SNS use with a view to providing more refined theoretical and practical implications. The study's main objectives are three-fold: First, the study verifies whether social capital, categorized into bridging and bonding capital, influences one's SNS use as measured by qualitative use and quantitative use. Second, the study aims to confirm whether subjective well-being mediates between social capital and SNS use. Third, it examines whether social identity moderates the relationship between social capital and SNS use. The study result indicates that bridging capital only had a significant impact on qualitative use. However, subjective well-being did not mediate the relationship between social capital and SNS use. Finally, the cognitive identity caused significant difference in the effect of social capital on quantitative SNS use, whereas cognitive and affective identities caused significant differences in regards to the effects of bridging capital on qualitative SNS use.
Das Konzept der Medienbildung stellt eine neue Entwicklung dar, die sich seit einigen Jahren im Schnittfeld bildungstheoretischer,
medientheoretischer und kulturtheoretischer Erwägungen konstituiert. Es folgt der Einsicht, dass Bildungs- und Subjektivierungsprozesse
sich grundsätzlich in medial geprägten kulturellen Lebenswelten und in medialen Interaktionszusammenhängen ereignen. Dieser
Grundannahme trägt das Konzept der Medienbildung Rechnung, indem es Aspekten der Medialität in der Bildungswissenschaft einen
systematischen, d.h. theoriebildenden und forschungsleitenden Wert zuweist.
Conversations on Twitter create networks with identifiable contours as people reply to and mention one another in their tweets. These conversational structures differ, depending on the subject and the people driving the conversation. Six structures are regularly observed: divided, unified, fragmented, clustered, and inward and outward hub and spoke structures. These are created as individuals choose whom to reply to or mention in their Twitter messages and the structures tell a story about the nature of the conversation.
An e-learning environment that supports social network awareness (SNA) is a highly effective means of increasing peer interaction and assisting student learning by raising awareness of social and learning contexts of peers. Network centrality profoundly impacts student learning in an SNA-related e-learning environment. Additionally, self-regulation behavior significantly influences online learning of students. However, exactly how network centrality and self-regulation influence learning behavior and effectiveness in an e-learning environment remains unclear. Therefore, this study investigates how both variables (ie, network centrality and self-regulation) impact student learning in an SNA-related e-learning environment. Analytical results indicate that the student group with high-level centrality and low-level self-regulation more significantly progresses in learning achievement than the other groups. The second finding shows the group also has the highest number of students asking for help, revealing they have the highest system utilization rate.
The interest in research focusing on learning taking place at work, through work and for work has considerably increased over the past two decades. The purpose of the paper is to review and structure this wide and diverse research field. A tentative holistic model—the 3-P model of workplace learning—is presented, in relation to which the following six lines of research are identified: (1) studies describing the nature of workplace learning, (2) research on work identities and agency in workplace learning, (3) studies on the development of professional expertise, (4) analyses of competence development in education–work contexts in vocational education and training as well as in higher education, (5) research on communities of practice, and (6) research on organisational learning. The research lines and the holistic 3-P model should be seen as analytic tools for understanding the diversity in workplace learning research. They may also serve as a kind of map for individual researchers, helping them to locate their main areas of interest in this broad field of research and to outline research designs for future studies.
This article presents an in-depth case study of a complex community of inquiry. In this community, teachers worked collaboratively to build from situated assessments of students' learning through reading to refine and monitor practices designed to enhance student learning in their subject-area classrooms. In this report, we present evidence to address three questions: (1) What did inquiry look like within this community?; (2) How was collaboration implicated in teachers' inquiry?; and (3) How was engagement in inquiry related to meaningful shifts in teachers' practice and learning? This research contributes by uncovering important links between teacher inquiry, collaboration, and educational change.
This study is an examination of the evolution of one novice's teacher's informal mentoring network on Twitter. The study followed a novice mathematics teacher over a nine month period as she transitioned from student teacher to full-time teacher. The mixed-method study uses both qualitative and quantitative methods to analyze the interactions and structure of the mentoring network. Results indicate that the novice teacher's network was used primarily to seek information from other professionals and decreased in size over time. The differences and similarities between Twitter and face-to-face networks as well as areas with potential for further research are also discussed.
Studies show that changes in teacher education around the world occur slowly and are difficult to implement. This study aims to contribute to the discussion on the major resources and obstacles to developing teacher education and finding novel solutions to overcome the obstacles. Resources and obstacles were investigated in the context of academic and university-based teacher education in Finland. Findings revealed three major challenges: (1) obstacles in renegotiating professional identity, (2) internal competition between subject-matter groups within the department, and (3) discrepancies between individual agency and organizational development. Based on the findings, this study argues that supporting teacher educators’ individual and collective agency is needed to enhance both their continuous professional learning and organizational change. This goal can be achieved by the concurrent development of teacher education at multiple levels, including the individual, work-community, and organizational levels. In addition, constructing multiple couplings between these levels is required.
Many studies have examined the relationship between social network sites (SNSs) and the development of social capital. However, most studies to date have only considered college and adult populations. This study examines the patterns of SNS use in an urban, teenage sample in the United States. It tests the hypothesis that use of SNSs is related to higher levels of social capital. The results show that youth who use Facebook and Myspace report higher social capital in both their school and online relationships. In addition, the analysis suggests that distinct modes of SNS experiences are differentially related to bridging and bonding social capital. Time spent in SNSs is related to bridging capital, while positive or negative experiences are related to bonding capital. The study offers new insights into how youth experience SNSs and the relationship of that experience with their connection to the world.
Improving student achievement through teacher collaboration networks is a current focus of schools in many countries. Yet, empirical evidence on the relationship between teacher networks and student achievement and mechanisms that may explain this relationship is limited. This study examined the relationship between teacher networks and student achievement and the mediating role of teachers’ collective efficacy beliefs. Data were collected from 53 Dutch elementary schools. Using social network analysis and multiple regression we analyzed teacher survey and student achievement data. Findings indicate that well-connected teacher networks were associated with strong teacher collective efficacy, which in turn supported student achievement.
Teacher professionalization has been focused to strongly on external experts and a one-size-fits-all set of solutions that often fail to distinguish between the needs of different teachers. This article describes a research into teacher networks that might be more successful vehicles for professional development of teachers. The results show that networks that focus on (self-) reflection, that exploit subgroups and networks meetings with a strong content focus, that stimulate enthusiasm and are instructive, that build a community of teachers and that make room for application of new materials/methods in the classroom, are the most promising ways for professional development and job motivation.
New media platforms such as Twitter allow users to choose from a wide range of political information sources including traditional media, politicians, bloggers and other Twitter users. This study extends the theory of channel complementarity by considering the complementary selection of information sources that occur within a single social media space. This study also conceptualizes information seeking as a social network created by follow relationships on Twitter, allowing tracking actual patterns of source selection. We applied this theoretical and methodological framework to examine information seeking on Twitter related to four US gubernatorial races. We identified the main types of highly followed accounts (i.e. information hubs). Traditional news media outlets (national and local) accounted for nearly half of the information hubs, and grassroots sources such as activists and other users accounted for nearly a third. The patterns of follow relationships indicated local and national subgroups (i.e. clusters) of users identified based on network topology. Local clusters included a subgroup of more densely interconnected users in which local news media and political candidates were hubs. National clusters included a subgroup of more sparsely interconnected users in which national media and online-only news sources served as hubs. High-density clusters were also more likely to host information sources that exhibited two-way information flow with other users, while low-density clusters preferred hubs that follow traditional one-to-many information flow. Theoretical and practical implications for news media and political candidates are discussed.