Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and…

Increasingly, undergraduate institutions are incorporating original research into the curriculum as a matter of best practice. However, while the practice of science has grown more collaborative, undergraduate research has remained largely confined to single-institution studies. Incorporating long-term, distributed research projects into the…

States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…

This report is an update to "Credentials Matter. Report 1: A National Landscape of High School Student Credential Attainment Compared to Workforce Demand" (ED612414). It explores the credentials earned by both K-12 and postsecondary students. The report examines whether those credentials are, or are not, aligned with employers' demand.…

Improving the quality of teaching and instruction takes time and planning and may be costly and require intensive work. This is particularly true when trying to make improvements among multiple preschool sites, because preschool systems often lack a cohesive infrastructure for supporting high-quality implementation of curricula and teacher…

Our nation needs a baseline understanding of the current landscape of high school skilled trades education--and a road map of what could or should happen next--to build on the promise that trades education offers to meet both individual and societal needs. To understand the state of skilled trades education in America's high schools, Jobs for the…

Working with practicing teachers, this article demonstrates, through the facilitation of a statistical activity, how to introduce and investigate the unique qualities of the statistical process including: formulate a question, collect data, analyze data, and interpret data.

Open Education (OE), a generic term for a collection of practices that seek to broaden the access to education through digital means, has gained increasing traction and popularity over the last years and from various corners, both globally and in European circles. Rather than taking the technologies OE makes use of at face value, this article…

We used an unobtrusive approach, keystroke logging, to examine students' cognitive states during essay writing. Based on data contained in the logs, we classified writing process data into three states: text production, long pause, and editing. We used semi-Markov processes to model the sequences of writing states and compared the state transition…

Quality management in higher education is generally discussed with reference to commendable outcomes such as success, best practice, improvement or control. This paper, though, focuses on the problems of organising quality management. It follows the narrative of the seven deadly sins, with each 'sin' illustrating an inherent trade-off or paradox…

Making data-based decisions is a pervasive expectation for educators and is linked to improved outcomes for students. Observational data collection for progress monitoring, in particular, can help educators track and support students' progress toward individualized educational goals in inclusive settings. Yet, many educators struggle with data…

The overall aim of this study was to review research trends and issues in the field of educational technology specifically focused on the articles published in the Turkish Online Journal of Educational Technology (TOJET) from 2012 to 2018. Content analysis was used to examine (a) general characteristics of studies; (b) research themes and issues;…

Systematic direct observation (SDO) is frequently used in schools to document student response to evidence-based interventions, determine eligibility for special education services, and provide objective data during high-stakes decisions. However, there are several limitations associated with this widely used data collection tool including a…

Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…

Learning analytics involve the measurement, collection, analysis, and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and early adopters around the world are developing and…