Imagine saving just one of the 23,000 species threatened with extinction. Students studying endangered species in a general life science course faced the decision of which species to save as a summative assignment in a unit on scientific explanation and argumentation. They used the claim, evidence, and reasoning (CER) framework in which students…

The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…

Beliefs about knowledge have been found to relate to a variety of student outcomes and to vary across educational domains and instructional contexts. However, there are limited data on students' beliefs about information and truth, vis-à-vis knowledge (i.e., epistemic beliefs) and how these beliefs differ across instructional settings.…

Over the past decade U.S. policymakers, practitioners, and researchers have sought to examine if changing teacher evaluation policies and systems have resulted in changes in identifying quality teachers and/or increased student achievement. This research generally shows most states have experienced little change in how teachers are rated.…

This discussion paper explores the possibilities and risks that data linkage presents for the vocational education and training (VET) sector. Along with a broad overview of the nature of data linkage, it highlights possible applications for data linkage in the VET sector and examines the key challenges associated with its use. A number of case…

The Teacher Compensation Survey (TCS) was a research and development effort by the National Center for Education Statistics (NCES) to explore the possibility of developing an administrative records survey that would compile compensation and demographic data on all public school teachers in the nation. A pilot survey in 2007 collected data from…

The demographic composition of America's population has changed significantly over the past several decades which is reflected in classrooms that are culturally and linguistically more diverse. In particular, the rapidly growing population of non-native English speaking students has highlighted the need for language instruction programs to…

With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. This exploratory design-based research (DBR) study implemented a data-driven approach to identify secondary school…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

This chapter addresses students' data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated with warranting claims. We do this within the context of Inq-ITS (Inquiry Intelligent Tutoring…

Youth in the juvenile justice system need access to high-quality educational services and supports in order to reduce their risk of reoffending and increase their likelihood of further participation in education and the workforce. However, states have historically struggled to provide effective educational services to youth who are incarcerated.…

Salivary cortisol is often used as an index of physiological and psychological stress in exercise science and psychoneuroendocrine research. A primary concern when designing research studies examining cortisol stems from the high cost of analysis. Planned missing data designs involve intentionally omitting a random subset of observations from data…

Annotations play an increasingly crucial role in scientific exploration and discovery, as the amount of data and the level of collaboration among scientists increases. There are many systems today focusing on annotation management, querying, and propagation. Although all such systems are implemented to take user input (i.e., the annotations…

Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and…

Attention-deficit hyperactivity disorder (ADHD) is among the most commonly diagnosed disorders of children and youth. Young people receive their ADHD diagnoses and medical treatment in primary health care settings and can experience a range of behavioral and educational disabilities treated in the clinic, at home, and at school. We propose a…