Educational Robotics to Foster and Assess Social Relations in Students' Groups

Robotics has gained, in recent years, a significant role in educational processes that take place in formal, non-formal, and informal contexts, mainly in the subjects related to STEM (science, technology, engineering, and mathematics). Indeed, educational robotics (ER) can be fruitfully applied also to soft skills, as it allows promoting social links between students, if it is proposed as a group activity. Working in a group to solve a problem or to accomplish a task in the robotics field allows fostering new relations and overcoming the constraints of the established links associated to the school context. Together with this aspect, ER offers an environment where it is possible to assess group dynamics by means of sociometric tools. In this paper, we will describe an example of how ER can be used to foster and assess social relations in students' group. In particular, we report a study that compares: (1) a laboratory with robots, (2) a laboratory with Scratch for coding, and (3) a control group. This study involved Italian students attending middle school. As the focus of this experiment was to study relations in students' group, we used the sociometric tools proposed by Moreno. Results show that involving students in a robotics lab can effectively foster relations between students and, jointly with sociometric tools, can be employed to portrait group dynamics in a synthetic and manageable way

The Structures and Practices of Collaboration among Environmental Organizations in Waterloo Region

Background: Studies investigating organizational collaboration report increased goal achievement in the case of collaboration but identify that developing effective collaborations is challenging. An increasing number of researchers and practitioners are applying emerging research tools such as social network analysis to study collaborations and many of those who have applied social network analysis suggest, anecdotally, that it is a useful process tool aimed at increasing understanding of collaboration and informed decision-making among collaborative members. Aims: The main objectives are to: (1) Empirically study networking and collaboration among environmental organizations in Waterloo Region; (2) Contribute to theory and practice development by examining definitions, values, and practices of organizational collaborations by local practitioners; and (3) Investigate the usefulness of social network analysis as a process tool to improve collaboration. Method: I used a sequential methods design with two phases. In Phase 1 I obtained and analyzed statistical data representing the level of networking and collaboration among local organizations. Using social network analysis, I produced sociograms (i.e., graphs) and statistical measures of the level of networking and collaboration in the Waterloo Region in 2011. In Phase 2, I conducted three open-ended semi-structured focus groups and seven interviews to discuss collaboration practice and the use of the social network analysis as a process tool. Using a systematic qualitative data analysis approach similar to grounded theory, I analyzed the different aspects related to collaboration practices and the use of social network analysis as a process tool to inform collaboration. Results: Study findings demonstrate that: (A) the majority of environmental organizations in Waterloo Region are well networked, collaborate broadly, and show a high level of cohesion; (B) environmental organizations in Waterloo Region share similar definitions of collaboration, and tend to apply many of the tasks and steps identified in the literature as good/emerging practice; and (C) social network analysis as a process tool is perceived as useful when assessing and developing organizational collaboration. Conclusion: The findings reveal that the environmental organizations in Waterloo Region have exemplary collaborative capacity through their networking and cohesion from which other geographic locations could learn. The findings also reveal that collaboration practice, to some degree, differs from theories of good/emerging collaborative practice, potentially due to the fact that theory may be too idealistic while practice may be too realistic, suggesting a need for organizations to move beyond the immediate needs (realities) toward more idealistic practice to increase their collaborative successes and for scholars to potentially adjust their theories to become more realistic and thus increase uptake. Finally, the findings suggest that network analysis has the potential to produce valuable outcomes as a process tool. These findings will be of particular interest for those studying organizational collaboration and the practitioners trying to improve effectiveness of organizational collaboration not just in the environmental field

Changing times: migrants’ social network analysis and the challenges of longitudinal research

Focusing on migrant social networks, this paper draws upon the sociology of time to incorporate complex notions of temporality into the research process. In so doing, we consider firstly, the challenge of going ‘beyond the snapshot’ in data collection to capture dynamism through time. Secondly, we apply the concepts of timescapes to explore ways of addressing the wider context and the interplay between spatiality, temporality and relationality in migration research. We argue that integrating a mixed methods approach to SNA, crucially including visualisation, can provide a useful methodological and analytical framework to understand dynamics. SNA can also be helpful in bridging the personal and structural dimensions in migration research, by providing a meso level of analysis. However, it is also important to connect the investigation of local and transnational networks with an analysis of the broader social, economic and political contexts in which these take shape; in other words, connecting the micro and the meso with the wider macro level. Drawing upon reflections from our migration research studies, we argue that different combinations of quantitative, qualitative and visual methods do not just provide richer sets of data and insights, but can allow us to better connect conceptualisations – and ontologies – of social networks with specific methodological frameworks

Facets of DREaM: a social network analysis exploring network development in the UK LIS research community.

Purpose: This paper reviews the value of Social Network Analysis (SNA) as a method appropriate to LIS research. SNA is used to investigate the effectiveness of a framework of methods adopted by the DREaM project to develop researcher-practitioner networks. Design/methodology/approach: Following review of literature on SNA, the paper reports longitudinal research from a whole population sample of the DREaM cadre of LIS researchers. Data were collected using a questionnaire at the start of the first DREaM project workshop, and at the final workshop. Data were analysed using Ucinet 6 software, and network diagrams were visualised using the Netdraw package. Findings: Findings demonstrate that the combination of linked workshops and use of social media throughout the DREaM project was successful in increasing the density of the researcher networks, forging new connections among participants. SNA was found to be a useful technique in investigating network development. Research limitations/implications: There is scope for further longitudinal research to investigate the sustainability and strength of the new network links forged. Originality/value: The use of SNA in the context of the development of researcher networks is novel in LIS research. The findings from this project indicate the potential of the DREaM methodology as a replicable framework for developing further research networks in other contexts. This paper represents a unique contribution in demonstrating through the use of SNA the extent of the extension of research networks afforded by the DREaM methodology

Changing times: migrants’ social network analysis and the challenges of longitudinal research

Focusing on migrant social networks, this paper draws upon the sociology of time to incorporate complex notions of temporality into the research process. In so doing, we consider firstly, the challenge of going ‘beyond the snapshot’ in data collection to capture dynamism through time. Secondly, we apply the concepts of timescapes to explore ways of addressing the wider context and the interplay between spatiality, temporality and relationality in migration research. We argue that integrating a mixed methods approach to SNA, crucially including visualisation, can provide a useful methodological and analytical framework to understand dynamics. SNA can also be helpful in bridging the personal and structural dimensions in migration research, by providing a meso level of analysis. However, it is also important to connect the investigation of local and transnational networks with an analysis of the broader social, economic and political contexts in which these take shape; in other words, connecting the micro and the meso with the wider macro level. Drawing upon reflections from our migration research studies, we argue that different combinations of quantitative, qualitative and visual methods do not just provide richer sets of data and insights, but can allow us to better connect conceptualisations – and ontologies – of social networks with specific methodological frameworks

Examining the Capacity of Instructional Support Networks for the Diffusion of Computer Science for All (CSforALL) in an Urban District

The purpose of this study was to understand the capacity for diffusion of computer science instruction in an urban school district. Two types of networks, general instructional support and computer science-related support, were described and investigated. Social Network Analysis was used as the primary method to examine the structure of and relationships between the networks. Results suggest that even in schools with dense and distributed instructional support networks, sparse and centralized systems of ties are characteristic of DLCS support networks. Further, an analysis of networks with and without team-supported ties indicates that formal structures for collaborative teaming are critical sources of social capital for teachers and are essential for the diffusion of high quality DLCS instructional practices. Multinomial logistic regression indicated a significant positive relationship between teachers’ self-efficacy and in-degree centrality, and a significant but negative relationship between seniority and out-degree

The effect of shared leadership on workgroup creativity

Research on leadership typically assumes a single leader who has managerial authority over the group, unit or organisation. Shared leadership is an emerging concept of leadership as a group-level phenomenon. It builds on antecedents such as democratic leadership, semi-autonomous and self-managed work groups, participative decision-making and co-leadership that are typically studied as variations of leadership by a single leader. Shared leadership is seen as more distributed, informal and emergent than these. Recent empirical research shows shared leadership can have beneficial effects on a variety of group process and outcome variables. However, so far its effects on creativity have not been empirically examined. This is surprising, since creativity is an important response to increased competition and rapid change in the business environment. Much creativity research identifies important pre-requisites that are more likely to be found in shared than hierarchical leadership. Improved creativity may be one of the most valuable benefits of shared leadership. This study provides empirical evidence on this relationship from a naturalistic experiment in which student groups were allowed to self-manage over a three-month creative project. In assessing shared leadership, two methodological innovations were introduced. First, previous studies have either used aggregated measures of group performance, or more recently the measures of group ‘degree centrality’ (degree of hierarchy) or ‘density’ (degree of sharing) developed in Social Network Analysis research. However, none of these measures by themselves adequately captures the distinction between hierarchical and shared leadership, although the SNA measures are potentially more precise. Following recommendations of previous authors, this study explored the combined use of centrality and density to better reflect the underlying construct. A second refinement was to use a general construct of leadership based on Bass and Bass’s (2008) extensive literature review, rather than constructs such as transformational leadership that have a narrower theoretical base and tend to assume a hierarchical context. Results from items measuring sharing of Bass and Bass’s five ‘leadership functions’ were compared with a ‘global’ measure of leadership sharing. Creativity was assessed by a panel of judges who rated the groups’ creative outputs (movies), rather than the more common method of rating creativity in the work process. The results provide evidence for the hypothesised link between shared leadership and creativity that, although qualified by aspects of the study design, suggests further research is worthwhile. Implications for future research on both leadership and creativity are explored, along with consequences for the practice of management. The issues of how to best measure shared vs. hierarchical leadership, and how much a construct can reflect both forms of leadership, are of particular relevance to the future development of this field. In summary, this study offers the first evidence directly linking shared leadership to work group creativity, and suggests improvements to current methods for measuring the extent of leadership sharing in a group

What is Social Network Analysis?

This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors. Though relatively new on the scene it has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, this book presents the key ideas in context through examples and illustrations. Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so readers can develop their knowledge and skills to become practitioners of this research method. A series of Frequently Asked Questions takes the reader through the main objections raised against social network analysis and answers the various queries that will come up once the reader has worked their way through the book

Longitudinal cohort of HIV-negative transgender women of colour in New York City: protocol for the TURNNT ('Trying to Understand Relationships, Networks and Neighbourhoods among Transgender women of colour') study.

IntroductionIn the USA, transgender women are among the most vulnerable to HIV. In particular, transgender women of colour face high rates of infection and low uptake of important HIV prevention tools, including pre-exposure prophylaxis (PrEP). This paper describes the design, sampling methods, data collection and analyses of the TURNNT ('Trying to Understand Relationships, Networks and Neighbourhoods among Transgender women of colour') study. In collaboration with communities of transgender women of colour, TURNNT aims to explore the complex social and environmental (ie, neighbourhood) structures that affect HIV prevention and other aspects of health in order to identify avenues for intervention.Methods and analysesTURNNT is a prospective cohort study, which will recruit 300 transgender women of colour (150 Black/African American, 100 Latina and 50 Asian/Pacific Islander participants) in New York City. There will be three waves of data collection separated by 6 months. At each wave, participants will provide information on their relationships, social and sexual networks, and neighbourhoods. Global position system technology will be used to generate individual daily path areas in order to estimate neighbourhood-level exposures. Multivariate analyses will be conducted to assess cross-sectional and longitudinal, independent and synergistic associations of personal relationships (notably individual social capital), social and sexual networks, and neighbourhood factors (notably neighbourhood-level social cohesion) with PrEP uptake and discontinuation.Ethics and disseminationThe TURNNT protocol was approved by the Columbia University Institutional Review Board (reference no. AAAS8164). This study will provide novel insights into the relationship, network and neighbourhood factors that influence HIV prevention behaviours among transgender women of colour and facilitate exploration of this population's health and well-being more broadly. Through community-based dissemination events and consultation with policy makers, this foundational work will be used to guide the development and implementation of future interventions with and for transgender women of colour

Differentiated embedding: Polish migrants in London Negotiating Belonging Over Time

Developing on Granovetter’s classic work on embeddedness in systems of social relations, this paper proposes the concept of ‘differentiated embedding’ to explore how migrants negotiate attachment and belonging as dynamic temporal, spatial and relational processes. When Poland joined the EU in May 2004 the large flow of migrants to the UK was perceived by many migration researchers as heralding a new form of transient mobility associated with short-term, temporary and circular migration, and high levels of transnationalism. Relatively little attention was paid to how these migrants were integrating in local contexts. Based on 20 in-depth interviews and network mapping with Polish migrants,resident in London for a decade, I examine why participants extended their stay and how their decisions were shaped by inter-personal relationships locally and transnationally. London as a ‘super-diverse’, global city offers place–specific opportunities for building networks and developing processes of embedding. Nonetheless, a focus on networks risks overlooking the wider structural context in which migrants live and work. Thus, I argue, there is a need for a differentiated concept to capture the nuanced interplay of structural, relational, spatial and temporal embedding. This concept not only captures multi-scalarity and multi-sectorality but also levels of belonging and attachment