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…

This article introduces a novel method that integrates collaborative filtering into the naive Bayes model to enhance predicting student academic performance. The combined approach leverages collaborative user behavior analysis and probabilistic modeling, showing promising results in improved prediction precision. Collaborative Filtering explores…

Using Jackson and Mazzei's thinking with theory, this paper centers the stories of three researchers who practiced critical self-reflection while engaging in secondary analysis of data from The Pedagogy of Student Success Project, a study intended to learn about graduate students' evolving conceptualizations of student success. In particular, the…

Purpose: The purpose of this paper is to examine how youth from varied cultural and socioeconomic backgrounds came together to collaboratively analyze data they collected across two research projects in a community-based Youth Participatory Action Research (YPAR) initiative, a less understood aspect of YPAR. Specifically, this study discusses how…

Statisticians and data scientists have been called upon to increase the impact they have through their collaborative projects. Statistics and data science practitioners and their educators can achieve and enable greater impact by learning how to create shared understanding with their collaborators as well as teaching this concept to their…

In the swiftly changing realm of education, technology serves as a key instrument in transforming the methods of teaching, learning experiences, and educational outcomes. Legal and governance issues, integral to maintaining order and justice in societies, are equally pertinent in the realm of education. The digital age introduces concerns like…

Analyzing qualitative data from learning processes is considered "messy" and time consuming (Chi in J Learn Sci 6(3):271-315, 1997). It is often challenging to summarize and synthesize such data in a manner that conveys the richness and complexity of learning processes in a clear and concise manner. Moreover, qualitative data often…

Breaking through the company's own green knowledge barriers through school-enterprise cooperation has become an important means for companies to expand market competitive advantages and environmental governance. This article uses China's non-financial listed company data from 2010 to 2021 to study the causal effect of school-enterprise cooperation…

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…

Academic libraries and their staff are increasingly involved in the Research Data Management (RDM) practices and processes in their universities. This article explores the impact that such initiatives have on the image and identity of academic libraries. This paper proposes that involvement in and leadership of RDM university practices has the…

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…

Writing and communication researchers are in the early stages of developing procedures for reusing and maximizing the analytical potentials of qualitative data. Contributing to this effort, we critically reflect on our methodological decision-making process in developing innovative procedures for cross-analyzing two distinct studies. Our…

Big data is a unique field of study which requires specialized analytics. The field of education has a lot of data: individual student test scores, attendance, behavior, and demographic data are just some of the regularly collected information year after year. Individual student data across an entire state over several years quickly becomes big…

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…

Chapters cover the essential character traits and skills that are necessary to become an effective researcher, walk through the main steps for completing a research project from start to finish, and discuss considerations when building a career and research program. Rather than the nitty-gritty of research methods, authors Joshua N. Hook, Don E.…