Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop…

Higher education instructors constantly rely on educational data to assess and evaluate the behavior of their students and to make informed decisions such as which content to focus on and how to best engage the students with it. Massive open online course (MOOC) platforms may assist in the data-driven instructional process, as they enable access…

Meaningful change towards antiracist practices take time. There are no quick fixes. Quick workshops on implicit bias and microaggressions rarely lead to lasting changes in teaching practices. Equity QUantified In Participation (EQUIP) learning communities organize faculty members to work together to promote antiracist teaching. Equity analytics…

Data use in higher education continues to increase as college and university leaders aim to meet accreditor and governmental expectations to use data to improve student outcomes. However, the steady increase in data use over the past decades has not been accompanied by an increase in employee data literacy in order for employees to use the data…

For decades, schools nationwide have collected household income data to identify those eligible for free and reduced-price lunch programs. State leaders have long used this information as a proxy for student economic disadvantage--yet this data is insufficient to understand and address students' needs. Measures based on FRL data lack critical…

The last decades have seen an unprecedented growth in the availability and accessibility of data, highly influenced by the ubiquity of digital media and the internet. As society contends with data's increasing impact on the nature of knowledge, communication, and privacy, it faces a pressing need for citizens who are intelligent producers and…

Why do I work? Despite instructors' best efforts, students struggle to understand how different people answer this question differently. This exercise enables students to explore what motivates them in comparison to their peers and previous generations while reinforcing the distinction between intrinsic and extrinsic motivation. Students…

Through time-series graphs, teachers often evaluate progress monitoring data to make both low- and high-stakes decisions for students. The construction of these graphs--specifically, the presence of an aimline and the data points per x- to y-axis ratio (DPPXYR)--may impact decisions teachers make. The purpose of this study was to evaluate the…

Lipidomics is a discipline that focuses on the identification and quantification of lipids. Although a part of the larger omics field, lipidomics requires specific approaches for the analysis and biological interpretation of datasets. This article presents a series of activities for introducing undergraduate microbiology students to lipidomic…

Powered by educational policy recommendations around the world, studies on different aspects of data-driven decision making have soared both in number and scope in different educational contexts. However, despite the availability of diverse data, second or foreign language research has been quite tardy in the study of language teachers'…

This conceptual article considers data used in the humanities and the human sciences, which are fundamentally different from data in other disciplines, such as the sciences or medicine. Data in the humanities are, however, equally important to study and understand. Humanists and others studying human artifacts often face the dual challenge of both…

Gaze data are still uncommon in statistics education despite their promise. Gaze data provide teachers and researchers with a new window into complex cognitive processes. This article discusses how gaze data can inform and be used by teachers both for their own teaching practice and with students. With our own eye-tracking research as an example,…

There has been explosive growth in the physician assistant/associate (PA) profession in the last ten years, leading to a meteoric increase in PA training programs. Attaining and maintaining accreditation is required for PA program operations, and thus, successfully leading an accreditation self-assessment is a critical responsibility for PA…

Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…

This research examined the perceived data literacy skills of middle and senior-level administrators in a community college system in relation to leadership competencies. This study sought to determine if the independent variable, administrator type (manager, executive, or chief operating officer), relates to the perceived data literacy skills…