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Xiaoxue Zhang – ProQuest LLC, 2021
Student mathematics motivation and engagement in the first year of high school is critical because of its volatility (Mangu, Middleton, & Lee, 2016) and importance for future academic advancement and career opportunities (Trusty, & Niles, 2003). Following the quantitative longitudinal non-experimental design (O'Dwyer & Bernauer, 2013),…
Descriptors: Student Motivation, Learner Engagement, Student Attitudes, High School Freshmen
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Hickman, Gregory P.; Sabia, Magaret F.; Heinrich, Randy; Nelson, LaCoñia; Travis, Frances; Veri, Tracy – Journal of At-Risk Issues, 2017
The authors examined the predictive nature of attentional biases and initial grade point average of ninth graders dropping out of high school. Attentional biases are cognitive shifts in focus that are linked in both time and context toward stimuli perceived by an individual as threatening. Data were collected from 68 high school freshmen (45.6%…
Descriptors: Attention, Bias, High School Freshmen, Predictor Variables
Bolley, Staci – ProQuest LLC, 2013
Many students in the United States are graduating from high school without the math skills they need to be considered college ready. For many of these graduates, who find themselves starting their higher education at a community college, remedial math can become an insurmountable barrier that ends their aspirations for a degree or certificate.…
Descriptors: Blended Learning, Grade 9, Secondary School Mathematics, Educational Technology
Trujillo, Gabriel – ProQuest LLC, 2012
This study examines the effectiveness of a summer school credit recovery program in the Sun Valley High School District. Using logistic regression I assess the relationship between race, gender, course failure, school of origin and summer school participation for a sample of students that failed one or more classes in their first year of high…
Descriptors: Summer Schools, Student Participation, High School Students, Graduation