Multi-lab projects are large scale collaborations between participating data collection sites that gather empirical evidence and (usually) analyze that evidence using meta-analyses. They are a valuable form of scientific collaboration, produce outstanding data sets and are a great resource for third-party researchers. Their data may be reanalyzed…

With the 5th Edition of Data Analysis for Continuous School Improvement, best-selling Victoria Bernhardt has written the go-to-resource for data analysis in your school! By incorporating collaborative structures to implement, monitor, and evaluate the vision and continuous improvement plan, this book provides a framework to show learning…

This paper explores the potential of a collaborative research laboratory to enhance advertising education by catalyzing student learning, engagement, and faculty interaction. By offering a comprehensive blueprint through this lab, we illuminate how institutions can leverage the benefits of such labs through immersing students in practical consumer…

The role of interdisciplinarity in achieving authentic and transformative learning outcomes is both contested and complex. At the same time, traditional disciplinary ways of being, doing and knowing have been further tested by the impact of COVID-19 on students, schools and communities. In Tasmania, already experiencing amongst the lowest levels…

This article is the second of two articles in this special issue that were developed following discussions of the Assessment Working Group at EDUsummIT 2013. The article extends the analysis of assessments of collaborative problem solving (CPS) to examine the significance of the data concerning this complex assessment problem and then for…

Collective impact is an increasingly popular approach to addressing persistent social problems. It takes a place-based systems approach to social change and compared with other forms of collaboration is meant to be more structured and strategic. Such an approach is intuitively appealing, and it has the support of stakeholders at the local level,…

When many people hear the term "big data", they primarily think of a technology tool for the collection and reporting of data of high variety, volume, and velocity. However, the complexity of big data is not only the technology, but the supporting processes, policies, and people supporting it. This paper was written by three experts to…

The Academic Pathway Study (APS) research program within National Science Foundation (NSF) Center for Advancement of Engineering Education (CAEE) ran from 2003-2010. It amassed a collection of longitudinal as well as cross-sectional data sets, of varying research method types and formats, from four different primary cohorts that included over…

Constructionism can be a powerful framework for teaching complex content to novices. At the core of constructionism is the suggestion that by enabling learners to build creative artifacts that require complex content to function, those learners will have opportunities to learn this content in contextualized, personally meaningful ways. In this…

This discussion paper for this special issue examines co-regulation of learning in computer-supported collaborative learning (CSCL) environments extending research on self-regulated learning in computer-based environments. The discussion employs a socio-cognitive perspective focusing on social and collective views of learning to examine how…

The authors interviewed two dozen educators at several institutions who were responsible for administration of the survey on their campus to better understand how data from the National Survey of Student Engagement (NSSE) were (or were not) being used. The project managers they interviewed had successfully used strategies to make sense of NSSE…

In this article the process and outcomes of service user involvement in the analysis of data are discussed. The analysis formed part of a doctoral participatory research project, which involved researcher and service users working together. The focus of the research was on the experience and needs of service users with life limiting conditions…

Collaborative research often refers to collaboration among the researcher and the participants. Few studies investigate the collaborative process among researchers themselves. Assumptions about the qualitative research process, particularly ways to establish rigor and transparency, are pervasive. Our experience conducting three collaborative…

This paper is situated in interaction on the Internet and presents an analysis of chat conversations in Romance languages--French, Italian, Portuguese and Spanish--between students from several universities. The Internet is currently a fertile setting for intercultural and plurilingual encounters, and interaction, virtual or real, is seen as a…

In response to a UK government drive to improve maths teaching in schools, the South West London Maths Enhancement Course (MEC) has been set up through collaboration between three higher education institutions (HEIs) to provide an efficient route for non-maths graduates in employment to upgrade their subject knowledge and give a smooth transition…