School Counselors as Social Capital: The Effects of High School College Counseling on College Application Rates

2011 ◽  
Vol 89 (2) ◽  
pp. 190-199 ◽  
Author(s):  
Julia Bryan ◽  
Cheryl Moore-Thomas ◽  
Norma L. Day-Vines ◽  
Cheryl Holcomb-McCoy
Keyword(s):  
High School ◽  
Social Capital ◽  
School Counselors ◽  
College Counseling ◽  
College Application ◽  
Application Rates

“You’re Supposed to Help Me”: The Perils of Mass Counseling Norms for Working-Class Black Students

2016 ◽  
pp. 004208591665217 ◽  
Author(s):  
Melanie Jones Gast
Keyword(s):  
High School ◽  
Social Capital ◽  
Social Class ◽  
Working Class ◽  
Black Students ◽  
College Counseling ◽  
Urban Settings ◽  
Class Background ◽  
The Impact

How do educators reconcile the growing college-for-all norm—the notion that all students should pursue college—with the diverse needs of students in urban settings? What is the impact on Black students across social-class background? Using interviews and fieldwork with teachers, counselors, and diverse Black students in a large Californian high school, I examine college-counseling norms under a social capital framework. With high caseloads, I find that educators support mass outreach and vague encouragements for 4-year colleges. Ultimately, my findings problematize one-size-fits-all counseling norms and highlight the need for more targeted counseling for urban and working-class Black students.

scholarly journals Apply Yourself: Racial and Ethnic Differences in College Application

2020 ◽  
Vol 15 (2) ◽  
pp. 209-240 ◽  
Author(s):  
Sandra E. Black ◽  
Kalena E. Cortes ◽  
Jane Arnold Lincove
Keyword(s):  
High School ◽  
College Readiness ◽  
Ethnic Differences ◽  
Fixed Effects ◽  
School Quality ◽  
Access To Higher Education ◽  
Racial And Ethnic Differences ◽  
College Application ◽  
Application Rates ◽  
College Application Behavior

Access to higher education begins with a student's decision whether and where to apply to college. This paper examines racial and ethnic differences in college application behavior of high school graduates, using two recent graduation cohorts from Texas. We estimate racial and ethnic differences in the probability of applying to college, controlling for a student's college readiness, high school quality, certainty of college admissions, and high school fixed effects. We then investigate racial and ethnic differences in the choice of where to apply. We enhance the typical model of college matching by considering the social setting and high school feeder patterns of state universities. We find that racial and ethnic gaps in application rates, particularly for Hispanic students, are not explained by differential levels of college readiness, high school quality, or information regarding college admission processes. When applying to college, minorities are influenced by more than just matching their academic ability to the institution, and prefer institutions with a large proportion of same-race students and campuses where same-race students from their high school have been successful in the past.

High School Students Understanding of the Risks of Online Game Addiction

10.32698/0772 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
Eryzal Novrialdy ◽  
Herman Nirwana ◽  
Riska Ahmad
Keyword(s):  
High School ◽  
High School Students ◽  
School Counselors ◽  
Sampling Technique ◽  
Online Games ◽  
Average Score ◽  
Online Game ◽  
School Students ◽  
Game Addiction ◽  
Use Of Technology

Adolescents are currently in the midst of technological sophistication, which is very helpful for its development. On the other hand, many adolescents are trapped in the problem of technology addiction. Adolescents are the most age group who experience problems with the use of technology, including online games. Online game addiction is the loss of control over the use of online games, which makes other daily activities are disrupted. Online game addiction in adolescents have an impact on several aspects of life, such as health aspects, psychological aspects, academic aspects, social aspects, and financial aspects. Lack of understanding about the risks of online game addiction can get adolescent stuck in online game addiction. This research aims to describe high school students understanding about the risks of online game addiction. The sample consisted of 255 high school students selected by proportional random sampling technique. Data was collected using a scale measuring understanding of the risks of online game addiction. Data analysis used a quantitative approach with descriptive methods. The results showed that high school students understanding about the risks of online game addiction was included in the moderate category with an average score of 198,48 and an achievement score level of 55,14%. Therefore, school counselors must to improve high school students understanding of the risks of online game addiction.

Pengaruh Intensitas Belajar Dan Modal Sosial Terhadap Hasil Belajar Mata Pelajaran Administrasi Transaksi Pemasaran di SMK Negeri 2 Pariaman

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 788
Author(s):  
Syawirda Syawirda ◽  
Yulhendri Yulhendri
Keyword(s):  
High School ◽  
Social Capital ◽  
Regression Analysis ◽  
Multiple Regression ◽  
Random Sampling ◽  
Sampling Technique ◽  
Research Use ◽  
Vocational High School ◽  
Result Show ◽  
Academic Year

The research aims to determine the effect of learning intensity and social capital to result of learning of students at state vocational high school 2 of Pariaman in academic year 2019/2020. The population in this research was all students of class XI until XII. The sample use are 107 with proportional random sampling technique. The analytical method used is multiple regression analysis using the SPSS version 20 program. This research use asosiatif method with deskriptive analysis. The data is analyted by using multiple regression. The result show that 1) There were a learning intensity and social capital to results of  learning of students (F sig = 0,000 < dari 0,05). 2) There was a effect between learning intensity to result of  learning (sig = 0,001< 0,05). 3) There was a effect between social capital to result of  learning (sig = 0,000< 0,05).   Keywords: intensity of learning, social capital, result of learning

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