Science, technology, engineering, and math (STEM) fields have been traditionally entered by men, often establishing women as underrepresented in many of these fields. This research study focuses on participants at a STEM camp for middle- and high-school girls designed to introduce them to technology. The camp was held 4 times over 3 years, with…

Since 2012, the Wisconsin Department of Public Instruction (DPI) has maintained a statewide predictive analytics system providing schools with an early warning in middle grades of students at risk for not completing high school. DPI is considering extending and enhancing this system, known as the Dropout Early Warning System (DEWS). The proposed…

One of the purposes of this study was to examine whether or not the present and past standardized tests in the state of Texas had any positive impact on the writing abilities of the limited English proficient (LEP) Mexican-American students. Another objective of the study was to determine if one test was more effective than another. In this case,…

As educational needs of students change in response to changing demographics, economic factors, workforce needs, and school accountability requirements, school leaders must continually monitor and adjust curricula and associated methods of instructional delivery to increase student learning. The analysis of student performance data is a critical…

Focused on the use of teacher evaluation data, this case was designed for use in two principal licensure courses, one on data literacy and the other on supervision and personnel. The principal of Baker Middle School has been instructed by the superintendent to use data from the state's new teacher evaluation system to determine which teachers…

This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…

The purpose of this qualitative case study was to describe one Connecticut middle school's voluntary implementation of a data-driven decision making process in order to improve student academic performance. Data-driven decision making is a component of Connecticut's accountability system to assist schools in meeting the requirements of the No…

This substudy in the evaluation design of the Math and Science Partnership (MSP) Program Evaluation examines student proficiency in mathematics and science for the MSPs' schools in terms of changes across three years (2003/04, 2004/05, and 2005/06) and relationships with MSP-related variables using Management Information System data with the…

Districts must hire "highly qualified teachers" to implement "research-based best practices" using "data-driven decisions" to positively impact student achievement. The No Child Left Behind Act (NCLB) of 2001 has provided educators a whole new set of catch phrases. As states, districts, and educators work to define…

This report summarizes various academic outcomes for only a single, closed cohort, or class, of first-time ninth-grade students in AISD between the 1993-1994 and 1997-1998 school years.