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Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Caitlin Petro; Zelaya Al Ayeisha; Shakayla Alston; Anthony Teddy; Myat Win; Sandra Wiktor; Barry Sherman; Jeffrey Cook – School Community Journal, 2024
Students from underrepresented populations--females, working class, and youth from marginalized racial/ethnic groups--are less likely than their middle-class Asian and White male peers to study computer science (CS) in college. The dearth of CS undergraduates from these groups contributes to projected labor force shortages. Sources of the dilemma…
Descriptors: Middle School Students, Computer Science Education, Partnerships in Education, Minority Group Students
Carey, John; Brigman, Greg; Webb, Linda; Villares, Elizabeth; Harrington, Karen – Measurement and Evaluation in Counseling and Development, 2014
This article describes the development of the Student Engagement in School Success Skills instrument including item development and exploratory factor analysis. The instrument was developed to measure student use of the skills and strategies identified as most critical for long-term school success that are typically taught by school counselors.
Descriptors: Factor Analysis, Academic Ability, Psychometrics, Test Construction
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Leyton-Armakan, Jen; Lawrence, Edith; Deutsch, Nancy; Williams, Joanna Lee; Henneberger, Angela – Journal of Community Psychology, 2012
To optimize the effectiveness of youth mentoring it is important to begin to identify specific preexisting characteristics of mentors that lead to positive experiences for adolescent mentees. College women mentors, aged 18 to 22 years, were paired with middle school girls, aged 11 to 14 years, for weekly one-on-one and group mentoring in an…
Descriptors: Females, Depression (Psychology), Mentors, Empathy