In a world filled with big data, mathematical models, and statistics, the development of strong quantitative skills is becoming increasingly critical for modern biologists. Teachers in this field must understand how students acquire quantitative skills and explore barriers experienced by students when developing these skills. In this study, we…

Many researches have shown that different approach needed in analysing linear and non-linear reading comprehension texts and different cognitive skills are required. This research attempts to discover the relationship between Science Stream students' reading competency on linear and non-linear texts in Malaysian University English Test (MUET) with…

School administrators and educational policy makers have made a substantial effort to address the learning needs of students in Saint Martin, yet the achievement gap between students in Saint Martin and students in metropolitan France still persists. Risk factors such as family structure, socioeconomic status, immigration, and difficulty of…

The aims of this working paper were to investigate whether taking part in out of school activities during primary school is linked with end of primary school attainment and social, emotional and behavioural outcomes, for all children and specifically for children from economically disadvantaged backgrounds. The analysis is based on the Millennium…

This study investigated the use of a student evaluation of teaching survey designed by a suburban school district. Several statistical methodologies were used to evaluate the validity and reliability of the instrument. One hundred sections of grades 6-8 reading and mathematics courses were used to examine the research question: Is the Student…

In this research, the relationship between written exam scores of science and technology class of 6th, 7th, and 8th grades, project, participation in class activities and performance work, year-end academic success point averages and sub-test raw scores of LDT science of 6th, 7th and 8th grades. Academic success point averages were used as…

This report describes the value-added models used as part of teacher evaluation systems in the District of Columbia Public Schools (DCPS) and in eligible DC charter schools participating in "Race to the Top." The authors estimated: (1) teacher effectiveness in DCPS and eligible DC charter schools during the 2011-2012 school year; and (2)…

Two methods of showing the ability of high school grades (high school grade point averages) and SAT scores to predict cumulative grades in different types of college courses were evaluated in a sample of 26 colleges. Each college contributed data from three cohorts of entering freshmen, and each cohort was followed for at least four years.…

The present study (n = 761, 58.1% female) examined whether or not individual learner variables (gender, ethnicity, SES) contribute to differences in mathematics performance as measured by test score and mathematics grade for fifth and sixth grade mathematics students in Alabama. Multiple regression analysis revealed that gender and SES show…

[Slides] presented at the American Educational Research Association (AERA) in 2009. This study investigated the presence of a general rise in high school grades without a corresponding rise in SAT scores, as well as different grading criteria between schools, as shown by differential relationships between AP course grades and exam scores. These…

The purpose of the Neyman-Johnson statistical technique is to determine a region or span of values on r independent variables where the predicted criterion scores of two or more treatment groups are significantly different. Consequently, the technique should prove especially useful in research concerned with moderator variables or with the…