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…

This report updates the 2011-12 Integrated Postsecondary Education Data System (IPEDS) survey components report--"The History and Origins of Survey Items for the Integrated Postsecondary Education Data System"--in order to reflect the 2016-17 data collection. As the first report did, this report provides an inventory of the IPEDS data…

This research set out to explore the connections between the use of global data in primary mathematics lessons as a way of engaging and inspiring teachers and pupils and raising levels of participation from more reluctant mathematicians. The study explores to what extent teachers are keen to use this approach to teaching and learning in…

Today's economic situation demands that learning organizations become more diligent in their business dealings to reduce cost and increase bottom line for survival. While there are many champions and proponents claiming that game-based learning (GBL) is sure to improve learning, researchers have, thus far, been unable to (re)produce concrete,…

Teachers in Catholic schools are not immune from pressures to improve students' scores on high stakes tests, and standards-based education is not new to Catholic schools. Nationally, many public school systems have moved to implement Common Core State Standards (CCSS) or other similar standards. Assessment, in turn, has been tied to these…

The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…

Background/Context: Teacher preparation programs (TPPs) face increasing pressure from the federal government, states, and accreditation agencies to improve the quality of their practices and graduates, yet they often do not possess enough data to make evidence-based reforms. Purpose/Objective: This manuscript has four objectives: (a) to present…

Structured databases of chemical and physical properties play a central role in the everyday research activities of scientists and engineers. In materials science, researchers and engineers turn to these databases to quickly query, compare, and aggregate various properties, thereby allowing for the development or application of new materials. The…

The editors of a recent special edition of "Qualitative Studies in Education" map a new field of post-qualitative research and raise fundamental questions about core concepts such as "method" and "data." They ask whether qualitative inquiry as we know it is any longer possible if we understand language, the human and…

The Common Core State Standards (CCSS) potentially shifts the way US schools approach teaching and learning. Research suggests that it is important to understand how educators view the CCSS and how they believe the CCSS may impact their practice. We developed and tested an instrument to investigate educator beliefs about the implementation of…

This article reports findings from a diverse third grade classroom that integrates a literacy through photography (LTP) curriculum as a central component of writing instruction in an urban public school. A case study approach was used in order to provide an in-depth, multi-dimensional consideration of phenomena by drawing on multiple data sources…

User clustering algorithms have been introduced to analyze users' learning behaviors and help to provide personalized learning guides in traditional Web-based learning systems. However, the explicit and implicit coupled interactions, which means the correlations between user attributes generated from learning actions, are not considered in these…

While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…

Learning Management Systems (LMS) collect large amounts of data. Data mining techniques can be applied to analyse their web data log files. The instructors may use this data for assessing and measuring their courses. In this respect, we have proposed a methodology for analysing LMS courses and students' activity. This methodology uses a Markov…

As the quality of educational outputs has been problematized, accountability systems have driven reform based upon summative assessment data. These policies impact the ways that educators use data within schools and subsequently, how teacher education programs may adjust their curricula to teach data-driven decision-making to inform instruction.…