The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…

One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…

This article raises important questions about whether the increasing control of early years education through performance data is genuinely a means for school improvement. This composite article, examines the pervasiveness of attainment data in early years education professional activity, its impact on early years teachers' consciousness and…

Emerging technologies offer an opportunity for the development, at the institutional level, of quality processes with greater capacity to enhance learning in higher education than available through current quality processes. These systems offer the potential to extend use of learning analytics in institutional-level quality processes in addition…

This methodological brief introduces basic procedures and issues for conducting a high-quality meta-analysis in gifted education. Specifically, we discuss issues such as how to select a topic and formulate research problems, search for and identify qualified studies, code studies and extract data, choose and calculate effect sizes, analyze data,…

All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…

This document presents the technical appendices that accompany the full report, "Determining College Readiness in California's Community Colleges: A Survey of Assessment and Placement Policies." The appendices include: (1) Survey Design and Administration; and (2) Survey Instrument. [This report was written with research support from…

The Association for Institutional Research (AIR) is engaged in a variety of efforts to document the current state of institutional research. In 2012, the Association initiated a critically important effort to identify the tasks involved in the work of institutional research (IR) across all titles and variations represented in its membership. This…

The phrase "data-driven" has been used with increasing frequency in the college access and success field in recent years. However, as with many frequently used phrases, its importance can get lost or written off as a buzzword. Being data-driven revolves around decisions being shaped by information and evidence rather than hunches, gut…

In winter 2014, I came upon an opportunity to conduct a case study on a team of middle school math teachers who initiated a study group to examine how a set of learning progressions could help them with their planning, instruction, and assessment. Learning progressions are research-based hypotheses about how students develop more sophisticated…

Learning analytics dashboards commonly visualize data about students with the aim of helping students and educators understand and make informed decisions about the learning process. To assist with making sense of complex and multidimensional data, many learning analytics systems and dashboards have relied strongly on AI algorithms based on…

Through a multi-year, national calculus study, researchers have recently identified seven characteristics of successful college calculus programs. We identified these seven characteristics by visiting five doctoral-granting mathematics departments with successful calculus programs and uncovering the common traits among them. These seven traits…

Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…

This study explores common themes in recruitment and retention practices of Latinx undergraduate and graduate students that emerged across interviews of faculty in leadership positions at Institutes of Higher Education (IHE). In-depth interviews were conducted of six faculty holding leadership positions in their early childhood education programs…

Systems thinking (ST) is a holistic leadership approach that puts the study of wholes before that of parts. It focuses attention on how organization members act together in networks of interactions. This is done by researching organization members' mental models, which are deeply ingrained assumptions, generalizations, or even mental pictures or…