A staff study (SS) is an administrative tool used for decision-making, involving comprehensive data gathering and analysis to resolve issues. Particularly crucial in military settings where classified information limits resources, staff studies also demonstrate their value in interdisciplinary academic fields. This article emphasizes the…

In 2015, a multidisciplinary group of academic researchers and extension personnel was awarded a US Department of Agriculture Coordinated Agricultural Project grant. The team's goal was to understand human decision-making in the context of potential livestock disease outbreaks, investigating the impediments to increased adoption of biosecurity…

Gaining ethical approval for qualitative health research and implementing all the planned research processes in a proposed study are not straightforward endeavours. The situation becomes more complex when qualitative research is conducted in a cross-national healthcare and academic context. Also, it is even exhausting when the study is…

With growing emphasis on data curation practice in both science and industry, there has been a call for information professionals to take on a substantial role in data curation. Library and information science (LIS) education has been responding to this call by offering various training opportunities from Master's education to professional…

Written by the SECEIJ Special Forum editorial team, this Project Report summarizes the interdisciplinary, collaborative, and inspiring research journey and theoretical background leading to the creation of a strategic plan for the 'IKE Alliance for Transforming STEM Education. 'IKE, which stands for Indigenous Knowledges, Encouragements,…

Information about the overall documentary filmmaking process is available; however, there is a lack of literature and educational resources about how to conduct subject research and data collection. As documentary filmmaking becomes an increasingly democratic endeavor due to technology, and information distribution and education use increases,…

The use of big data in higher education has evolved rapidly with a focus on the practical application of new tools and methods for supporting learning. In this paper, we depart from the core emphasis on application and delve into a mostly neglected aspect of the big data conversation in higher education. Drawing on developments in cognate…

In a world of burgeoning societal issues, future scientists must be equipped to work interdisciplinarily to address real-world problems. To train undergraduate students toward this end, practitioners must also have quality assessment tools to measure students' ability to think within an interdisciplinary system. There is, however, a dearth of…

Interdisciplinary studies foster integration of ideas across disciplines. The knowledge building pedagogy, with its 12 principles and associated technology, Knowledge Forum®, provides multifaceted support for linking ideas across disciplines and communities. This exploratory study aims to assess the extent to which elementary-school students…

This article centers sociocultural and sociopolitical considerations of how young people understand, represent, and use data by presenting findings from a social design research study about how students in a public urban high school authored "data stories" using personal data they curated, collected, and visualized. The study contributes…

Responsible Operations is intended to help chart library community engagement with data science, machine learning, and artificial intelligence (AI) and was developed in partnership with an advisory group and a landscape group comprised of more than 70 librarians and professionals from universities, libraries, museums, archives, and other…

This paper contributes to a nascent conversation in environmental education (EE) research by using ethnographic data and extant theory to develop a feminist posthumanist political ecology of education for theorizing human-animal relations/relationships. Specifically, I (1) engage feminist methodologies and theories; (2) give epistemological and…

We propose a graph mining methodology to analyze the relationships among academic programs from the point of view of cooperative education. The input consists of student - job interview pairs, with each student labelled with his or her academic program. From this input, we build a weighted directed graph, which we refer to as a program graph, in…

The purpose of the study is to explore how elementary preservice teachers' mathematics-science integrated teaching strategies changed as a result of participating in exemplary interdisciplinary activities with multiple themes across school curricula. The participating elementary preservice teachers (n = 28) were recruited for this study from the…

Open data sharing promises to accelerate the pace of discovery in the developmental and learning sciences, but significant technical, policy, and cultural barriers have limited its adoption. As a result, most research on learning and development remains shrouded in a culture of isolation. Data sharing is the rare exception (Gilmore, 2016). Many…