Previous research includes frequent admonitions regarding the importance of establishing connectivity in data collection designs prior to the application of Rasch models. However, details regarding the influence of characteristics of the linking sets used to establish connections among facets, such as locations on the latent variable, model-data…

The purpose of this literature review is to understand the current state of research on tools that collect data for the purpose of formative assessment. We were interested in identifying the types of data collected by these tools, how these data were processed, and how the processed data were presented to the instructor or student for the purpose…

Extension faculty and staff are constantly planning, implementing, and evaluating programming efforts. Data from participants are needed for assessing changes in knowledge, attitude, and behavior through summative and formative evaluation. However, collecting these data can be time-consuming and hard to achieve. A technological tool called…

Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…

This paper addresses how students explore, construct, validate and use statistical models when facing situations designed from a socio-critical perspective. The case study used is a statistics lesson designed by a statistics teacher and a researcher. The lesson centers on nutritional information and was implemented in a 7th-grade classroom at a…

Accreditation is a process by which programs demonstrate their academic quality; that is, they demonstrate that they are making decisions for programmatic changes based on: (1) a sound theoretical foundation; (2) clearly stated mission, goals, and objectives; (3) a comprehensive self-study and thoughtful use of best practices; and (4) consistent,…

This book presents a challenging and multi-faceted research project that required state-of-the-art methodological approaches. The project involved analyzing data collected from 10,000 research articles published in ten leading journals in the area of educational technology over 20 years, from January 1994 to December 2014; advanced analytic…

When Superintendent Curtis Craig, Ed.S., came to the Rensselaer Central Schools Corporation in 2015, he discovered an assessment problem common to many districts. The assessment results--Renaissance STAR and Acuity at the time--were not well aligned to the new, more rigorous standards the district and state had recently adopted. In addition, some…

This article outlines Indigenous data collection as a methodology that expands a sampling frame by using tribal Indigenous cultural knowledge, such as creation stories like those of the Cocopah and Quechan nations, to address limitations found in the methodological quality of Native American survey data in currently available datasets. Indigenous…

The relationship between student activity data and performance in the online classroom is well-documented, yet the parameters of this relationship and their implications for K-12 online schools are not yet well understood. This study examined the role of student chronotype (defined here as the time of day a student is most active in an online…

Higher education (HE) research often draws on a range of qualitative research approaches. However, some methods developed in other fields are underutilised in HE research, even though they could be of great use for answering particular kinds of research questions, or for involving students more actively in the research process. In this article, we…

Increasingly learning analytics (LA) has begun utilising staff- and student-facing dashboards capturing visualisations to present data to support student success and improve learning and teaching. The use of LA is complex, multifaceted and raises many issues for consideration, including ethical and legal challenges, competing stakeholder views and…

This study describes a method for collecting data from nonliterate, non-English-speaking populations. Our audio computer-assisted self-interview instrument with color-labeled response categories was designed for use with helper assistance. The study included 30 dyads of nonliterate older Hmong respondents and family helpers answering questions…

An innovative system-building initiative known as the STEM Learning Ecosystems Community of Practice (SLECoP) is transforming U.S. STEM education through cross-sector partnerships between schools, afterschool and summer programs, libraries, museums, and businesses, among others. Although logic models exist to describe how SLEs can make positive…

The legal and ethical use of Big Data and Learning Analytics in academic libraries has been widely debated. Analyzing large data sets has tremendous potential for libraries to implement changes that help students and prove the library's value to the university. The librarian's role in safeguarding patron privacy in a university setting where…