Background: With digital technologies, competence assessments can provide process data, such as mouse clicks with corresponding timestamps, as additional information about the skills and strategies of test takers. However, in order to use variables generated from process data sensibly for educational purposes, their interpretation needs to be…

In economic development and other economics electives, students regularly encounter economic measures of absolute and relative deprivation, from poverty measures like the Foster-Greer-Thorbecke index to measures of distribution like the Gini index. By "doing economics," students practice applying economic measurement to real-world data…

Teachers' judgments of student achievement are a crucial aspect of instruction and intervention. Previous research examining teachers' judgments has primarily focused on oral reading fluency and results are mixed with respect to how accurate teachers are. The purpose of the current study was to examine the accuracy of kindergarten and first-grade…

Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students…

A multiweek laboratory experiment is described, which guides students to use data to make decisions through multiple steps, before reaching a final conclusion. The lab focuses on the comparisons of fluorescence and absorbance spectroscopies to determine the concentration of a desired substance in an unknown sample in consideration of a complex…

The purpose of this review is to investigate the trends in the body of research on machine learning in educational technologies, published between 2007 and 2017. The criteria for article selection were as follows: (1) study on machine learning in educational/learning technologies, (2) published between 2007-2017, (3) published in a peer-reviewed…

Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…

The purpose of this investigation was to explore elementary teachers' beliefs about data and data use. Archived data from 2 research projects were used to address the following research questions: What are kindergarten and fifth-grade literacy teachers' beliefs about data and data use? What functions do the beliefs serve in teachers' actual use of…

Lawson (1983a) offered that an individuals' experiences as students in schools are significant in shaping their views of teaching. Pajares (1992) argued that a teacher's perceptions of the classroom are a product of their experiences as students. The purpose of this study was to examine the relationship between physical education (PE) pre-service…

School climate profoundly influences students' social, emotional, and academic functioning, representing an important indicator of student and school success. The federal Every Student Succeeds Act recognizes the importance of prioritizing positive learning conditions for all students and requires states to both include an indicator of…

Without the development and implementation of appropriate reforms directed by school district leaders, struggling schools may continue to achieve low scores on state-wide evaluations. Addressing this issue requires cooperation between administrators to identify areas of need, develop a plan of action for change, and implement and monitor a shared…

Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. One hundred and two…

A strong, well-aligned data system allows State CTE [Career Technical Education] Directors and other state leaders to answer critical questions about the quality of their CTE programs and whether learners are participating and succeeding equitably. But today's state data systems are not meeting the need for data-informed decision making.…

This paper discusses some of the recurrent issues which the authors have noticed in educational research. These might be concerned with the nature of social science research, such as its representation of the reality of student learning, the role for replication studies, and the tolerance for disagreements. There are also issues related to the…

State longitudinal data systems can be a powerful tool to support student success and spur equity-minded improvement throughout state education systems, but state policymakers must ensure that students' information is safe and secure. In a case study looking at Louisiana's efforts to secure student data, this profile illuminates some of the…