Background: Developing and implementing policies to curb and prevent youth tobacco use is of the utmost importance. In Florida, public school districts were authorized to develop tobacco-free school policies through an amendment to the Florida Clean Indoor Air Act in 2011. The purpose of this study is to determine the impact of tobacco-free school…

The purpose of this paper is threefold: first, to introduce a conceptual model for assessing undergraduate students' integrated information and communication technology (ICT) literacy capacity that involves 12 items generated from the modified version of the Australasian Survey of Student Engagement (AUSSE) questionnaire (Coates, 2010); second, to…

This study aims to determine the variables that predict high school students' recycling behaviors. The study was designed as survey model. The study's sample consists of 203 students at a high school in Ankara. A recycling behavior scale developed by the researchers was used as a data collection tool. The scale has 3 dimensions: recycling…

This multilevel study examined the relationship between school climate and academic achievement. Using the Educational Longitudinal Survey (ELS, 2002), and a sample of 16,258 students and 1954 schools nationwide, we found that student-level perception of school climate--especially the student learning environment--was highly predictive of academic…

According to the U.S. Department of Labor, by the year 2016 an estimated 51 million jobs will require some postsecondary education but not a bachelor's degree (Liming & Wolf, 2008). This represents an increase in these types of jobs of almost 11% over that of 2006. As the demand for these types of workers continues to rise, community colleges…

The demand for STEM graduates has increased, but the number of incoming freshmen who declare a STEM major has remained stagnant. High school courses, such as calculus, can open or close the gate for students interested in careers in STEM. The purpose of this study was to determine if high school mathematics preparation was a significant…

Hierarchical regression analyses conducted at the school level found that the perceived prevalence of teasing and bullying was predictive of schoolwide passing rates on state-mandated achievement testing used to meet No Child Left Behind requirements. These findings could not be attributed to the proportion of minority students in the school,…

This study examined the relationship between fourth grade primary school students' reading habits/conditions/ situations and their comprehension regarding what they read. For this purpose, a correlational survey method was used in the study. 90 fourth-grade students who were attending a state primary school in the center of Ku¨tahya participated…

This study looked at the effect of both quantity and quality of computer use on achievement. The Program for International Student Assessment (PISA) 2003 student survey comprising of 4,356 students (boys, n = 2,129; girls, n = 2,227) was used to predict academic achievement from quantity and quality of computer use while controlling for…

This study sought to better understand the early integration experiences of college students with disabilities by examining two research questions: (1) How well do the variables in Tinto's (1993) classic model of student attrition predict the early integration experiences of college students with disabilities? and (2) How do students with…

This High Impact Practices (HIPS) contribute to higher retention and graduation rates. HIPS are effective for racial and ethnic minorities in particular, who disproportionately experience high and persistent levels of postsecondary attrition. Little is known about the mechanism by which HIPS promote retention. Based on a random survey of 268…

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…