The purpose of this study was to determine the extent to which a preschool program followed the recommendations outlined by the National Association for the Education of Young Children (NAEYC) and the National Council of Teachers of Mathematics (NCTM) in their joint position statement "Early Childhood Mathematics: Promoting Good Beginnings." Six teachers were randomly selected from three of the preschool program's six locations that are situated in an urban city in North Texas. Two parts of this program's approach to mathematics were investigated: the teachers' instructional practices and the program's curricular materials. Data came from observations using the Classroom Observation of Early Mathematics-Environment and Teaching (COEMET) protocol and field notes. Each teacher participated in three interviews over the course of this research. Analyses of these sources provided insights into teachers' instructional practices for mathematics. Reviews of curricular documents and lesson plans for mathematics instruction provided information pertaining to the math curriculum used at this preschool program. All of these data sources were analyzed using the framework presented in NAEYC and NCTM's position statement. Analysis of the data indicated that, although teachers did not have any knowledge of these guidelines, teachers followed some of these recommendations; such as presenting children with …

With the advent of No Child Left Behind (NCLB) legislation in 2002 and its attendant increases in accountability pressure, many districts and schools currently embrace data analysis as an essential part of the instructional decision making process. In their attempts to overcome low achievement on state-mandated tests, some districts have begun employing data coaches. The study reported here, which was set in three middle schools in a northeast Texas school district, assessed the influence of the campus data coach on a middle school mathematics teachers' use of analyzed data to make instructional decisions. It also examined the extent to which the Data Coach/teacher relationship resolved teacher concerns about data-driven decision making. Phenomenological interviews with data coaches were guided by Seidman's (2006) three-series interview. Measurement of teacher use of data to make decisions was based on the concerns-based adoption model's levels of use interview protocol, stages of concern questionnaire, and innovation configuration map. By the end of one school year, two out of the three teachers never used data to make instructional decisions, although the non-users both had moved closer toward employing the innovation in their classroom. Data indicated all teachers were aware of the innovation, but all three ended the …

While No Child Left Behind ushered in the age of the "highly qualified" teacher, accountability focus has been shifted to the "highly effective" teacher, defined as teacher impact on student achievement. The Science Texas Assessment of Knowledge and Skills (TAKS) is used to judge the adequate yearly progress of students in Texas public schools. Therefore, the purpose of this study was to examine the relationship of teacher factors (i.e., ethnicity, gender, teaching experience, university selectivity, certification route, National Center for Education Statistics Locale/Code, number of science content and pedagogical course semester credit hours, grade point average for science content and pedagogical coursework) on student achievement using the eighth grade Science TAKS. The primary dependent variables were students' five objective scores and their overall scores on the eighth grade Science TAKS examination. The sample was 44 eighth grade science teachers and 4,119 students in Texas public schools. Multiple linear regression models enabled examinations of the relationships between teacher quality variables and student achievement. No significant relationships between the variables were found. Small effect sizes for the beta weights and structure coefficients occurred between teachers' science credit hours and TAKS objectives to explain 20% of the variance for TAKS Living Systems and …