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There is an urgent need to develop appropriate instruments to measure student engagement in math and science for the fields of research and practice. The present study developed and validated student- and teacher-report survey measures of student engagement in math and science. The measures are built around a multidimensional perspective of engagement by using a bifactor modeling approach. The sample was recruited from an ethnically and socioeconomically diverse middle and high school student population in the United States.

In formative assessment, constructed response questions are typically used for scientific argumentation, but students seldom receive timely feedback while answering these questions. The development of natural language processing (NLP) techniques makes it possible for the researchers using an automated scoring engine to provide real-time feedback to students. As is true for any new technology, it is still unclear how automated scoring and feedback may impact learning in scientific  argumentation.

Interest in the regression discontinuity (RD) design as an alternative to randomized control trials (RCTs) has grown in recent years. There is little practical guidance, however, on conditions that would lead to a successful RD evaluation or the utility of studies with underpowered RD designs. This article describes the use of RD design to evaluate the impact of a supplemental algebra-readiness curriculum, Transition to Algebra, on students’ mathematics outcomes.

The logic underlying inclusive STEM high schools (ISHSs) posits that requiring all students to take advanced college preparatory STEM courses while providing student-centered, reform-oriented instruction, ample student supports, and real-world STEM experiences and role models will prepare and inspire students admitted on the basis of STEM interest rather than prior achievement for postsecondary STEM. This study tests that logic model by comparing the high school experiences and achievement of students in ISHSs and comparison schools in North Carolina.

Systems are a natural part of our world—from the smallest chemical system to the Earth's climate system. The Framework for K-12 Science Education and the Next Generation Science Standards identify systems and system models as one of the crosscutting concepts, and developing and using models as one of the science and engineering practices. However, students do not naturally engage in systems thinking or in building models to make sense of phenomena, and there are few easily accessible tools designed specifically for students to construct models.

Systems are a natural part of our world—from the smallest chemical system to the Earth's climate system. The Framework for K-12 Science Education and the Next Generation Science Standards identify systems and system models as one of the crosscutting concepts, and developing and using models as one of the science and engineering practices. However, students do not naturally engage in systems thinking or in building models to make sense of phenomena, and there are few easily accessible tools designed specifically for students to construct models.

Sprout Pro was developed as a new kind of all-in-one computer that enables students to make, design, and customize the world around them. This Sprout Pro in a classroom handbook is designed to give you a starting point for integrating Sprout Pro into your learning environment and igniting your students’ creativity. Through this handbook you will learn how Sprout Pro can enhance educational experiences; support the development of collaboration, communication, and critical thinking skills; improve digital literacy; and empower the imagination of your students.

No longer only for the elite, a new generation of science high schools could help low-income and minority students get better jobs.

Lucadamo, K. (2016, September 6). Can All Students Succeed at Science and Tec High Schools? U.S News Report. Retrieved from http://www.usnews.com/news/articles/2016-09-26/can-all-students-succeed….

The purpose of this study was to compare the ability of different instruments, independently developed and traditionally used for measuring science teachers’ beliefs in short-term interventions, to longitudinally measure teachers’ changing beliefs.

Numerous research studies have illustrated the importance of connecting the visible (macroscopic) world of chemical phenomena to the invisible (particulate) world of atoms and molecules for conceptual understanding in chemistry (Birk & Yezierski, 2006; Gabel, Samuel, & Hunn, 1987; Johnstone, 1993; Nakhleh, 1992). This skill fits particularly well into the Next Generation Science Standards (NGSS) science practice of developing and using models, and a particle-level understanding of phenomena is a fundamental component of the redesigned AP Chemistry curriculum.