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Previous research has examined the impact of computing interventions to reduce digital inequity. However, few studies focus on factors such as inequalities to material access, Internet use patterns, and affective or emotional anxiety. This paper investigates the potential role of emotional costs and computer self-efficacy in the connection between computer use at home and students’ computer use patterns. Data for this research come from pretest and posttest surveys administered to fourth- and fifth-grade African-American students.

Over the past decade, there has been a strong national push to increase minority students’ positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through our educational system and into STEM careers. Previous research has shown that expectancy-value theory (EVT) is useful for examining the short-term as well as long-term academic motivations and intentions of elementary age minority students.

In this study we investigated eighth grade students’ informal justification for the circle area formula to expand accounts of the measurement knowledge for middle-school age students. Data were collected during three paired interviews of a three-year teaching experiment. Here we describe schemes students exhibited as they operated on measurement tasks at a level we have described as “conceptual area measurer”; the tasks prompted the use of square units to quantify a figure that is not rectilinear.

Supporting Secondary Students in Building External Models is a collaborative project with Michigan State University and the Concord Consortium, funded by the National Science Foundation (NSF) to examine how to support secondary school students in constructing and revising models to explain scientific phenomena and design solutions to problems. This article describes the project and research plans.

Damelin, D., & Krajcik, J. (2016). Supporting secondary students in building external models to explain phenomena. @Concord, 20(1), 10-11.

Supporting Secondary Students in Building External Models is a collaborative project with Michigan State University and the Concord Consortium, funded by the National Science Foundation (NSF) to examine how to support secondary school students in constructing and revising models to explain scientific phenomena and design solutions to problems. This article describes the project and research plans.

Damelin, D., & Krajcik, J. (2016). Supporting secondary students in building external models to explain phenomena. @Concord, 20(1), 10-11.

This brief article provides an overview of how to use the SageModeler systems modeling tool with an ocean acidification model as an example.

Damelin, D. (2016). Monday's lesson: Students making models. @Concord, 20(2), 7.

This study investigated attributes of 278 instances of student mathematical thinking during whole-class interactions that were identified as having high potential, if made the object of discussion, to foster learners’ understanding of important mathematical ideas. Attributes included the form of the thinking (e.g., question vs. declarative statement), whether the thinking was based on earlier work or generated in the moment, the accuracy of the thinking, and the type of thinking (e.g., sense-making).

This study investigated attributes of 278 instances of student mathematical thinking during whole-class interactions that were identified as having high potential, if made the object of discussion, to foster learners’ understanding of important mathematical ideas. Attributes included the form of the thinking (e.g., question vs. declarative statement), whether the thinking was based on earlier work or generated in the moment, the accuracy of the thinking, and the type of thinking (e.g., sense-making).

This study investigated attributes of 278 instances of student mathematical thinking during whole-class interactions that were identified as having high potential, if made the object of discussion, to foster learners’ understanding of important mathematical ideas. Attributes included the form of the thinking (e.g., question vs. declarative statement), whether the thinking was based on earlier work or generated in the moment, the accuracy of the thinking, and the type of thinking (e.g., sense-making).

Recently, there has been an increase in the number of cluster randomized trials (CRTs) to evaluate the impact of educational programs and interventions. These studies are often powered for the main effect of treatment to address the ‘‘what works’’ question. However, program effects may vary by individual characteristics or by context, making it important to also consider power to detect moderator effects. This article presents a framework for calculating statistical power for moderator effects at all levels for two- and three-level CRTs.