Purpose: While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends. Design/methodology/approach: The authors report on an analysis of three student cases…

How does one overcome the challenges to finding time for meaningful professional learning? The authors asked seven experts in the field, and these practitioners offer powerful strategies for making better use of educator time. An example from Illinois centers student data in school systems as an essential component of a school's overall commitment…

This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…

Purpose: Building on past studies of library privacy policies, this review looks at how privacy information is shared at universities and colleges in the state of Florida. Beyond the question of whether a library-specific privacy policy exists, this review evaluates what is covered in the policies -- whether topics such as how student data is…

The Expanded Food and Nutrition Education Program (EFNEP) uses a group 24-hour dietary recall (Gr24HDR) to measure changes in diet quality. Participant perceptions of the tool can guide implementation practices used by EFNEP Extension staff. Focus group (FG) sessions were conducted in five states and transcripts analyzed following a framework…

One potentially fruitful application for human capital analytics is to support policies and practices that might reduce undesirable teacher turnover. Teacher turnover can be harmful to student achievement and faculty cohesiveness and can exacerbate teacher shortages. This article describes an attempt to build a human capital analytics tool to help…

Historically, science education has not adequately addressed the concerns and values of BIPOC individuals and women, especially those who fall into both categories. One way that educators are addressing this disparity is by incorporating social justice into their curricula. Climate change is one of today's most pressing issues, and youth have much…

Fisheries scientists make sure that fish populations ("fisheries") are managed properly, neither over- or under-utilized, to maintain long-term economic and ecological stability. Scientists collect data and conduct surveys to determine fish populations, and then make recommendations about how many fish may be caught by commercial and…

Effective communication requires a good message delivered through an effective channel and received by a receptive individual. When that communication is successful, the result is enhanced credibility and trust between the sender and the receiver. Telling the Extension story effectively requires both relevant, credible data to compose a clear…

The purpose of this study was to examine the current status of female leadership representation in four states identified from four regions of the United States. A descriptive approach to content analysis was used to examine postsecondary institutional website profiles with public access for females in executive leadership positions. Findings…

Special educator shortages have threatened the provision of services U.S. to students with disabilities since the passage of the Education for All Handicapped Children Act in 1975, since reauthorized as the Individuals with Disabilities Education Act. We conducted a systematic review of studies that used administrative data to study the special…

We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…

Using data from 11 institutions, the authors investigate enrollments in intermediate microeconomics to determine characteristics of successful and unsuccessful students and follow the retake behavior of unsuccessful students. Successful students are significantly different from unsuccessful ones, and unsuccessful students differ by type…

In recent decades, education leaders and researchers have increasingly sought to disaggregate key higher education outcome data--graduation rates, attainment, employment, and income--by race and ethnicity in order to uncover and narrow equity gaps. The same is true, recently, for affordability, especially as it relates to the differential impact…

Big qualitative data (Big Qual), or research involving large qualitative data sets, has introduced many newly evolving conventions that have begun to change the fundamental nature of some qualitative research. In this methodological essay, we first distinguish big data from big qual. We define big qual as data sets containing either primary or…