eric.ed.gov har udgivet: Computer Education and Instructional Technology (CEIT) Departments train computer teachers to fill gap of computer instructor in all grades of schools in Turkey. Additionally graduates can also work as instructional technologist or software developer. The curriculum of CEIT departments includes mathematics courses. The aim of this study is to identify attitudes of undergraduate students at CEIT departments towards math. In order to investigate the research question quantitative methods was used. Specifically survey research was preferred. Mathematics Attitude Questionnaire (MAQ) that was developed by Duatepe and Cilesiz (1999) was used and the questionnaire includes 38 items. The instrument was conducted with 122 undergraduate students from CEIT departments of four different universities in Turkey in the spring semester of 2010-2011. Data were analyzed through independent samples t-test and one-way… Continue Reading →
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eric.ed.gov har udgivet: In light of the strong correlation between Kindergarten performance and later cognitive and achievement outcomes, this paper investigates the link between student achievement and the educational background characteristics of Kindergarten teachers. This study will utilize the Early Childhood Longitudinal Study Kindergarten Cohort (ECLS-K), a nationally representative dataset, in order to address the following questions: (1) Does a teacher having a master’s degree or higher have a positive effect on student achievement gains in reading and math in kindergarten compared to teachers with only a bachelor’s degree?; (2) Are there effects of teacher coursework in reading, math, and child development on student achievement gains in kindergarten? If so, do impacts of coursework on reading and math scores vary by number of courses taken?; and (3) Do regular and… Continue Reading →
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eric.ed.gov har udgivet: The purpose of this study was to investigate a new methodology for detection of differences in middle grades students’ math anxiety. A mixture partial credit model analysis revealed two distinct latent classes based on homogeneities in response patterns within each latent class. Students in Class 1 had less anxiety about apprehension of math lessons and use of mathematics in daily life, and more self-efficacy for mathematics than students in Class 2. Moreover, students in Class 1 were found to be more successful in mathematics, mostly like mathematics and mathematics teachers, and have better educated mothers in comparison to students in Class 2. However, gender, attending private or public schools, and education levels of fathers did not appear to differ between the classes. Capturing such fine-grained information extends… Continue Reading →
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