College student reactions to health warning labels: Sociodemographic and psychosocial factors related to perceived effectiveness of different approaches

Objective. To examine factors associated with perceiving different types of pictorial cigarette health warning labels as most effective in motivating smokers to quit or preventing smoking initiation among college students. Method. We administered an online survey to 24,055 students attending six Southeast colleges in Fall, 2010. We obtained complete data for the current analysis from 2600. Results. Current smoking prevalence was 23.5%. The largest majority (78.6%) consistently rated gruesome images as most effective, 19.5% rated testimonial images as most effective, and only a small proportion rated either standard (1.6%) or human suffering images (0.3%) as most effective. Subsequent analyses focused on differences between those endorsing gruesome images or testimonials as most effective. Factors related to ranking testimonials versus gruesome images as most effective included being female (p\u3c0.01), White (p\u3c0.01), and nonsmokers (p=0.04), lower perceived smoking prevalence (p\u3c0.01), and greater receptivity to laws/restrictions around smoking (p\u3c0.01) and tobacco marketing (p=0.01). Among smokers, factors related to ranking testimonials as most effective versus gruesome images included being female (p=0.03), being White (p=0.03), higher autonomous motivation (p=0.03), and greater extrinsic self-efficacy (p=0.02). Conclusions. Understanding factors related to perceived effectiveness of different pictorial warnings among subpopulations should inform health warning labels released by the FDA

Exploring How We Teach: Lived Experiences, Lessons, and Research about Graduate Instructors by Graduate Instructors

This book combines the knowledge of 30 graduate student instructors sharing about how they teach and how they’ve learned how to teach

Promoting Intentions to Persist in Computing: An Examination of Six Years of the EarSketch Program

This is a postprint (accepted manuscript) of an article published by Taylor & Francis in Computer Science Education on January 2020, available online: http://www.tandfonline.com/10.1080/08993408.2020.1714313Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation modeling, multi-level modeling, and qualitative analyses were performed to examine how participation in EarSketch and other factors affect students’ intentions to persist in computing. Findings: Students significantly increased their intentions to persist in computing, g=.40[.25,54], but examination within just the five quasi-experimental studies did not result in a significant difference for students in EarSketch compared to students not in EarSketch, g=.08[-.07, .23]. Student attitudes towards computing and the perceived authenticity of the EarSketch environment significantly predicted intentions to persist in computing. Implications: Participation in computer science education can increase students’ intentions to persist in programming, and EarSketch is one such program that can aid in these intentions.National Science Foundation (U.S.

PBIS at the High School Level: Panel Presentations and Q&A

Schools have a variety of interventions occurring on school campuses, often times these interventions are implemented in silos without much understanding of the alternatives and additional supports that also exist on campus. The purpose of this presentation is to take a deeper look into the options of Tier 2 interventions including intervention options and staff involved that can support school-wide positive behavioral supports and student mental health. This session will be recorded presentations from each high school. They will discuss their PBIS implementation and then answer live questions in a panel format