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LaTanya L. Dixon; Suzanne M. Dugger; Hsien-Yuan Hsu – Educational Forum, 2024
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain a student's intent to declare a STEM major in the first semester of college. The results show only student-level factors…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
Dixon, LaTanya L.; Dugger, Suzanne M.; Hsu, Hsien-Yuan – Grantee Submission, 2020
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain racial/ethnic differences in a student's intent to declare a STEM major in the first semester of college. Data were drawn…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
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Ölmez, Ibrahim Burak; Cohen, Allan S. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
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…
Descriptors: Mathematics Instruction, Mathematics Anxiety, Middle School Students, Models
Yamada, Hiroyuki; Bohannon, Angel; Grunow, Alicia – Carnegie Foundation for the Advancement of Teaching, 2016
Quantway is a Carnegie Math Pathways initiative which redesigns the content, pedagogy, and structure of traditional developmental math courses to simultaneously tackle traditional barriers of student success and support a broader range of developmental students in achieving their math potential. Specifically, Quantway is a quantitative reasoning…
Descriptors: Hierarchical Linear Modeling, Probability, Scores, Mathematics Instruction
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
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Cheng, Dorothy; Walters, Matthew – Australasian Journal of Peer Learning, 2009
The Peer-Assisted Learning (PAL) program at the University of Minnesota has drawn from the best practices of Supplemental Instruction, Peer-Led Team Learning, Structured Learning Assistance, the Emerging Scholars Program, and other successful postsecondary peer cooperative learning models to establish guiding principles for structuring learning…
Descriptors: Mathematics Instruction, Peer Teaching, Program Effectiveness, College Mathematics