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…

This publication provides additional reference material for "Education at a Glance 2025," the authoritative source for data on the state of education around the world. It provides guidance on the data and methodologies used to calculate each indicator. It also contains references to the sources and specific notes for each country.

Learning analytics has been defined as the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. The potential use of data and learning analytics in educational contexts has caught the attention of educators and…

Dealing with the vast quantities of text that students generate in Massive Open Online Courses (MOOCs) and other large-scale online learning environments is a daunting challenge. Computational tools are needed to help instructional teams uncover themes and patterns as students write in forums, assignments, and surveys. This paper introduces to the…

The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several…

This paper provides a novel, conceptually driven stance on the state of the contemporary analytic challenges faced in the treatment of dialogue as a form of data across on- and offline sites of learning. In prior research, preliminary steps have been taken to detect occurrences of such dialogue using automated analysis techniques. Such advances…