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Ricks, Lacey; Tuttle, Malti; Land, Christy; Chibbaro, Julia – Journal of School Counseling, 2019
This study used quantitative measures to explore child abuse reporting trends for early career school counselors and to examine factors influencing their decisions to report suspected child abuse. Thematic coding was used to analyze recommendations for additional training needs regarding child abuse reporting and for the challenges school…
Descriptors: Child Abuse, School Counselors, Entry Workers, School Counseling
Postschool Engagement Predictors for Youth with Intellectual Disability: Results from South Carolina
Prince, Angela M.T.; Plotner, Anthony J.; Bridges, William C. – Exceptionality, 2019
Postschool outcomes of youth with intellectual disability (ID) continue to trouble practitioners and scholars. The purpose of this study was to analyze postschool engagement outcome data for 360 survey respondents with ID in South Carolina in the areas of employment and postsecondary education/training. Specifically, we examined the relationship…
Descriptors: Outcomes of Education, Intellectual Disability, Employment, Postsecondary Education
Guinn, Caroline H.; Baxter, Suzanne D.; Royer, Julie A.; Hitchcock, David B. – Journal of School Health, 2013
Background: A 2010 publication showed a positive relationship between children's body mass index (BMI) and energy intake at school-provided meals (as assessed by direct meal observations). To help explain that relationship, we investigated 7 outcome variables concerning aspects of school-provided meals: energy content of items selected, number of…
Descriptors: Elementary School Students, Grade 4, Body Composition, Breakfast Programs
Guinn, Caroline H.; Baxter, Suzanne Domel; Finney, Christopher J.; Hitchcock, David B. – Journal of Child Nutrition & Management, 2013
Purpose/Objectives: Analyses were conducted to examine variations in fourth-grade children's participation in school-breakfast and school-lunch programs by weekday, month, socioeconomic status, absenteeism, gender, and school-breakfast location. Methods: Fourth-grade children were participants in a dietary-reporting validation study during either…
Descriptors: Grade 4, Elementary School Students, Lunch Programs, Breakfast Programs
McHale, Tom – Technology & Learning, 2008
Kershaw County School District in South Carolina may not be the first place that comes to mind when thinking about hotbeds of ed-tech innovation. Its student population is diverse and for the most part not wealthy: Camden High School is urban with 1,055 students, 45 percent of whom qualify for reduced lunch; Lugoff-Elgin High School is a large…
Descriptors: High Schools, Rural Schools, Lunch Programs, Computers
Lambdin, Dolly; Erwin, Heather – Journal of Physical Education, Recreation & Dance (JOPERD), 2007
How can physical educators make connections to the larger community? This article discusses how physical educators can better inform community physical-activity leaders and coaches about appropriate instructional practices and how they can inform students about activities available in the community. It also offers suggestions for how to invite the…
Descriptors: Educational Facilities, Physical Education Teachers, Teaching Methods, School Community Relationship

Jones, Molly M.; Mandeville, Garrett K. – Remedial and Special Education (RASE), 1990
Basic Skills Assessment Program reading scores for all South Carolina students in grades 1-3 and 6 were analyzed. Failure to meet state standards was higher among younger, male, Black, and lunch-subsidized students. Risk of failure was still higher for younger students after controls for race, gender and lunch-payment status. (Author/PB)
Descriptors: Blacks, Comparative Analysis, Disabilities, Economically Disadvantaged