Accessing Capital Resources: Investigating the Effects of Teacher Human and Social Capital on Student Achievement

2014 ◽  
Vol 116 (7) ◽  
pp. 1-42 ◽  
Author(s):  
Alan J. Daly ◽  
Nienke M. Moolenaar ◽  
Claudia Der-Martirosian ◽  
Yi-Hwa Liou
Keyword(s):  
Decision Making ◽  
Social Capital ◽  
Student Achievement ◽  
Social Network ◽  
Social Interaction ◽  
Interim Assessment ◽  
Empirical Base ◽  
Instructional Decision ◽  
Human And Social Capital ◽  
The Relationship

Background A growing empirical base suggests that there is a positive relationship between teacher social interaction and student achievement. However, much of this research is based on standardized summative assessments, which, while important, may have limited applicability to timely instructional decision making. As such, in this work, we examine the relationship between teacher social interaction and interim benchmark formative assessments, which have been argued to play a more useful role in instructional decision making. Purpose In this study we used a human and social capital framework to explore the relationship between teacher social interaction and student achievement on an interim benchmark formative assessment. We hypothesized that teacher social capital would be positively related with student achievement as measured by an interim assessment, even after controlling for student and teacher demographics as well as proxies for teacher human capital. Population A sample of 63 teachers from five elementary schools in a midsize U.S. district completed a demographic and social network survey, from which we generated our human and social capital measures. For student-level data, we collected current and prior student achievement from 1,196 third to fifth grade students on an English Language Arts Interim Benchmark Assessment. Research Design We used survey data to conduct social network analysis and hierarchical linear modeling to explore the multilevel relationship between human and social capital and student achievement. Results Results indicated that even when controlling for student demographics and prior achievement, teachers’ human and social capital had a significant effect on student achievement as measured by interim assessments. More specifically our results indicated that more teaching experience in the current school was associated with better student performance on the interim assessment. In addition, the act of reaching out to other teachers to share knowledge regarding reading comprehension was associated with higher student scores on the interim assessment even when controlling for demographics and past academic performance. Conclusions This study offers a unique insight into the role of accessing capital resources and student achievement in strengthening schools under increased pressure to improve. Our work adds to the growing empirical base that suggests that teacher social interaction has a relationship with student achievement. To encourage social interaction, creating formal policies and structures for teachers to develop social ties with one another related to content may be a useful strategy in supporting student outcomes.

A capital idea: exploring the relationship between human and social capital and student achievement in schools

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alan J. Daly ◽  
Yi-Hwa Liou ◽  
Claudia Der-Martirosian
Keyword(s):  
Social Capital ◽  
Student Achievement ◽  
Student Learning ◽  
Hierarchical Linear Modeling ◽  
Teacher Collaboration ◽  
Linear Modeling ◽  
Content Type ◽  
Achievement Outcomes ◽  
Human And Social Capital ◽  
The Relationship

PurposeAs accountability policies worldwide press for higher student achievement, schools across the globe are enacting a host of reform efforts with varied outcomes. Mounting evidence suggests reforms, which encourage greater collaboration among teachers, may ultimately support increased student learning. Specifically, this study aims to investigate the relationship between human and social and student achievement outcomes.Design/methodology/approachIn exploring this idea, the authors draw on human and social capital and examine the influence of these forms of capital on student achievement using social network analysis and hierarchical linear modeling.FindingsThe results indicate that teacher human and social capital each have a significant and positive relationship with student achievement. Moreover, both teacher human and social capital together have an even stronger effect on student achievement than either human or social capital alone.Originality/valueAs more schools across the globe adopt structures for teacher collaboration and the development of learning communities, there is a need to better understand how schools may capitalize on these opportunities in ways that yield improved student learning. Our work sheds new light on these critical foundational elements of human and social capital that are individually and collectively associated with student achievement.

Exploring the Relationship Between Social Interaction, Cognitive Processing and Learning Achievements in a MOOC Discussion Forum

2021 ◽  
pp. 073563312110273
Author(s):  
Zhi Liu ◽  
Ning Zhang ◽  
Xian Peng ◽  
Sannyuya Liu ◽  
Zongkai Yang ◽  
...  
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Network Analysis ◽  
Cognitive Processing ◽  
Learning Analytics ◽  
Discussion Forum ◽  
Community Type ◽  
Eigenvector Centrality ◽  
Community Types ◽  
The Relationship

In the field of learning analytics, mining the regularities of social interaction and cognitive processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of investigations on the combination of social and cognitive behavioral patterns. To fill in this gap, this study aimed to uncover the relationship between social interaction, cognitive processing, and learning achievements in a MOOC discussion forum. Specifically, we collected the 3925 participants’ forum data throughout 16 weeks. Social network analysis and epistemic network analysis were jointly adopted to investigate differences in social interaction, cognitive processing between two achievement groups, and the differences in cognitive processing networks between two types of communities. Finally, moderation analysis was employed to examine the moderating effect of community types between cognitive processing and learning achievements. Results indicated that: (1) the high- and low-achieving groups presented significant differences in terms of degree, betweenness, and eigenvector centrality; (2) the stronger cognitive connections were found within the high-achieving group and the instructor-led community; (3) the cognitive processing indicators including insight, discrepancy, and tentative were significantly negative predictors of learning achievements, whereas inhibition and exclusive were significantly positive predictors; (4) the community type moderated the relationship between cognitive processing and learning achievements.

scholarly journals Homophily and Social Capital in a Network of Religious Congregations

Religions ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 653
Author(s):  
Jennifer M. McClure
Keyword(s):  
United States ◽  
Social Capital ◽  
Social Network ◽  
Network Analysis ◽  
Southeastern United States ◽  
Sociology Of Religion ◽  
Religious Congregations ◽  
Major Metropolitan Area ◽  
Curvilinear Relationships ◽  
The Relationship

This article investigates the relationship between homophily, the tendency for relationships to be more common among similar actors, and social capital in a social network of religious congregations from eight counties encompassing and surrounding a major metropolitan area in the southeastern United States. This network is inter-congregational, consisting of congregations and the relationships between them. Two types of social capital are investigated: the first involves the extent to which congregations bridge across structural holes, or bridge together otherwise disconnected congregations within the network; secondly, network closure involves the extent to which congregations are embedded in tight-knit clusters. Analyses use two types of homophily (religious and racial) to predict both outcomes, and they test linear and curvilinear relationships between both forms of homophily and the outcomes. Results indicate that congregations with moderate levels of religious homophily are more likely to bridge between otherwise disconnected congregations; however, congregations with low or high religious homophily as well as congregations with high racial homophily are more likely to be embedded in tight-knit relational clusters. This article contributes additional social network research on congregations and evidence of curvilinear relationships between homophily and social capital to the fields of social network analysis and sociology of religion.

scholarly journals DALE ESA

KRITIS ◽  
2018 ◽  
Vol 27 (1) ◽  
pp. 35-56
Author(s):  
Jos Josia Beeh ◽  
Sri Suwartiningsih ◽  
Elly Esra Kudubun
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Interaction ◽  
Social Relationships ◽  
Social Norm ◽  
Daily Life ◽  
Mutual Cooperation ◽  
The Social ◽  
The Village ◽  
Birth Death

The village Bokonusan is the location on the Semau Island and the district of Kupang, East Nusa Tenggara. Norma and refers to the contructual obligations between members of society in accordance with the rules of the costums, trust that refer to expectation and goals together in building in accordance with the values of mutual cooperation of solidarity of the community. As for the porpouse of research to, give me a description of application of the local Dale Esa in the life together in the village Bokonusan, as well as explain the elements of what is contained in the wisdom of Dale Esa as social capital in communities Bokonusan village. The method used is a qualitatve and approach to the contructivism oh the research descriptive aksplanative. Interwoven ily tradition, a marriege, birth, death, a new garden work (teh management of the land) and conflic resolution. The application of valeu to keep in daily life as from of social interaction. In the wisdom of Dale Esa the cooperation between the community refers to social relationships between societies so that, the social network, the obligation, prohibition, the rigth have, between members of the community to help each other as a from social norm, the emergance of the hope and goals together to build together as result the trust.

Social capital networks in sports spectatorship and participation

2020 ◽  
pp. 101269022094086
Author(s):  
Adam Gemar
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Theoretical Approach ◽  
Network Size ◽  
Cultural Consumption ◽  
Capital Social ◽  
Cultural Patterns ◽  
Scholarly Literature ◽  
Social Network Size ◽  
The Relationship

The relationship between social capital and sport has been an increasing focus of scholarly literature in recent decades. However, very few of these studies consider social capital alongside theories of cultural consumption. Even fewer seek to assess the place of social capital in sports spectatorship. Taking primarily a Bourdieusian and neo-Bourdieusian theoretical approach, this study seeks to rectify these gaps by analysing three key components of social capital – social network size, social network prestige and social network variety – and how they relate to patterns of sports spectatorship and participation. Results indicate that the type of social capital that is most predictive seems to rely heavily upon the nature of the cleavages between cultural patterns of sports engagement. While the size of social network seems most universally applicable to predict sports engagement generally, network variety also seems to be highly applicable to the most omnivorous engagement profiles. Finally, network prestige appears applicable to some highbrow profiles of sports engagement.

scholarly journals Which Factors Determine Our Online Social Capital? An Analysis Based on Structural Equation Modelling

2018 ◽  
Vol 22 ◽  
Author(s):  
Michael Grottke ◽  
Janine Viol Hacker ◽  
Carolin Durst
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Online Social Networks ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Friendship Network ◽  
Research Attention ◽  
Equation Modelling ◽  
Online Setting ◽  
The Relationship

The relationship between social network sites and social capital has received much research attention. However, two research gaps can be identified in the existing literature. First, only few studies have examined online social capital as a resource in online social networks. In this regard, it is not clear how to validly measure online social capital. Second, while the factors influencing social capital, among them properties of an individual’s social network, have been investigated in offline settings, such factors have not yet been investigated in terms of online social capital. Addressing these gaps, we asked 1000 Facebook users to provide information on their Facebook usage and online friendship network. Employing structural equation modelling for analysing the survey data, we show that Williams’ Internet Social Capital Scales, which are commonly used to assess social capital in offline settings, can be used to validly measure online social capital. Moreover, we find that some of the variables influencing offline social capital, among them similarity in terms of sociodemographic attributes, seem less important in an online setting.

The sociological turn in the interpreter’s role

2014 ◽  
Vol 9 (2) ◽  
pp. 274-298 ◽  
Author(s):  
Lihua Jiang ◽  
Chong Han ◽  
Jinlin Jiang ◽  
Yue Feng
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Social Role ◽  
Mediated Communication ◽  
Complex Activity ◽  
Globalized World ◽  
The Relationship

Interpreter-mediated communication, as a complex activity that involves social interaction among all participants, is increasingly important in today’s globalized world. A focus on sociolinguistic questions and on considerations associated with the interpreter’s presence and actions has led to opposing views ranging from that of “verbatim” interlinguistic reproducer or “conduit” to that of “advocate,” “cultural broker,” or “coordinator.” Still, the existing literature has rarely modeled the relationship between the parameters that influence the interpreter’s on-site decisions during a specific communication event. Therefore, this paper aims to explore the interpreter’s scope of action in a given communicative situation within a Triadic Discourse Interpreting Model (TRIM) by means of discourse interpreting filters, which show the interplay of static and dynamic TRIM parameters. Thus, the interpreter’s role is no longer defined by the verbatim-mediation dichotomy but rather reflects a decision-making continuum that evolves as the communication develops and offers a better understanding of the interpreter’s complex and important social role.

Impact of socio-psychological factors on investment decisions: The mediating role of behavioral biases

2020 ◽  
Author(s):  
Sadia Jabeen ◽  
Syed Zulfiqar Ali Shah ◽  
Naheed Sultana ◽  
Altamash Khan
Keyword(s):  
Decision Making ◽  
Social Interaction ◽  
Loss Aversion ◽  
Investment Decision ◽  
Equation Modeling ◽  
Behavioral Biases ◽  
Mediating Role ◽  
Investment Decision Making ◽  
The Relationship

Unlike previous studies that examine the effect of behavioral biases on investor decision-making, this study explores the root causes of behavioral biases and examines the mediating role of behavioral biases in the relationship between different types of emotions and investment decision-making. The cognitive theory of depression, attentional control theory, and prospect theory together provide the foundation and anticipate that stress, depression, anxiety, and social interaction are the major sources of cognitive mistakes that,in turn, affect investment decision-making. Model testing relies upon the data collected from 252stock investors trading in different stock exchanges of Pakistan; in order to test the hypothesized relationship, structural equation modeling has been used. Depression is a major source of loss aversion bias. Anxiety is a strong source of herding. Stress is a major source of representative bias.Social interaction is a root cause of overconfidence. Loss aversion bias, herding, and overconfidence fully mediate the relationship between depression, anxiety, social interaction, and investor decision; however, anxiety has the strongest impact on investor decision via herding bias, while stress has both insignificant direct and indirect effect on investment decision-making. Keywords: Sources of biases, self-efficacy, behavioral pattern, investment decision.

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