Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Motivation is a crucial aspect of learning, particularly in the field of music. For decades, motivation for learning music has been a much-discussed subject, and yet its influence still remains a convoluted issue. This study systematically analyses peer-reviewed English language studies, according to PRISMA guidelines, in order to understand how…

The growing awareness of the importance of the first year of high school for future success has prompted schools and districts across the country to develop interventions designed for ninth-graders. "Growth mindset" is an intervention that aims to increase students' desire to take on challenges and to enhance their persistence in school…

Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large…

There has been considerable investment in pre-college educational interventions for all areas of STEM (including computer science). The goal of many of these initiatives is to engage and interest students early in their educational career. In this study, a systematic literature review was undertaken to determine the demographic and program data…

This paper identifies a nascent trend in several countries regarding increased collection, public availability and use of destination data for graduates of secondary education, with policy ambitions to support pupil-level decision-making and drive provider-level accountability. This trend mirrors the previous development of such data for higher…

There were two purposes for this mixed methods study: to investigate (a) the realistic meaning of awareness and understanding as the underlying constructs of general knowledge of the learning process and (b) a procedure for data consolidation. The participants were 11th-grade high school and first-year university students. Integrated data…

Is physics education research based on a representative sample of students? To answer this question we skimmed physics education research papers from three journals for the years 1970-2015 looking for the number of research subjects, the course the subjects were enrolled in, and the institution where the research was conducted. We combined this…

As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…

The UChicago Consortium, Network for College Success, and the To&Through Project's new paper, "Practice-Driven Data: Lessons from Chicago's Approach to Research, Data, and Practice in Education," shares key lessons learned from Chicago's approach to using data to foster ongoing improvement in students' educational attainment. This…

This special issue of "ETR&D" is devoted to ethics in the broad domain of educational technology. Many ethical issues arise involving the study and use of educational technologies. A well-known issue involves the digital divide and the degree to which the introduction of new technologies is increasing the digital divide and…

Districts across the country are facing severe shortages of teachers--especially in certain subjects (math, science, special education, career and technical education, and bilingual education) and in specific schools (urban, rural, high-poverty, high-minority, and low-achieving). The severity of the teacher shortage problem varies significantly by…

The purpose of this study was to investigate doctoral dissertations on physics education conducted in Turkey between the years of 2010 and 2015. The year, institution, language, researcher's gender, advisor position, research design and method, number and properties of samples, subject, data collection tools and theme distribution of the doctoral…

In this work we use research from science education on teacher framing and work from mathematics education on teacher noticing to develop new approaches to modeling teacher cognition. The framing literature proposes a dynamic cognitive model of teaching in which teacher epistemological framing, or moment-to-moment understanding of what is going on…

"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI includes an overview and seven chapters that follow a generally consistent pattern. The chapter titles are as follows: (1) Elementary and…