The challenges of at-risk students are not new. Newspaper articles from the 1860s presented information about communities seeking to help students to complete school and find employment to provide a livable wage. Today's solutions focus on legislation intended to affect societal change and provide equitable opportunities for at-risk students. Much research regarding how to improve academic outcomes for at-risk students addresses high school level, identifying those factors that encourage secondary learners to remain in school. However, less work has been done investigating whether earlier intervention can obviate later retention efforts by improving students' learning outcomes in the elementary grades. In this vein, engagement is a factor found to positively influence learning, particularly when students are actively engaged with instructional content. Technology can facilitate such interactions between students and content; however, research is needed to better understand the relationship between student engagement and technology, particularly with at-risk students in elementary settings. Seeking to address the gap, this qualitative study examined the occasion of a fifth-grade school that recently implemented 1:1 technology. Using a case study approach, researchers explored the effects of the 1:1 Chromebook implementation on teacher-perceived student engagement at the elementary level. This study sought to better understand how this …

This study focuses on the use of American Invention Kits from the Smithsonian Institute in conjunction with a 3D printer. In conjunction with a large dataset from a study funded by the National Science Foundation (NSF), this innovative research focuses on the effect the digital fabrication curriculum unit has on gifted and talented students' knowledge and affinity toward the fields of science, technology, engineering, and mathematics (STEM). Students from two rural middle schools in north-central Texas (N = 190) took part in this quantitative study; the students were divided among four subgroups: gifted-contrast (n = 12), gifted-treatment (n = 8), nongifted-contrast (n = 76), and nongifted-treatment (n = 94). The surveys utilized include the STEM Semantics Survey, TIMSS-Limited, and a knowledge assessment for the specific curriculum unit focused on the solenoid. The STEM Semantics Survey is divided into five subsets. Thirty-two separate one-way repeated measures ANOVAs were performed across the surveys and subgroups. Statistically significant results were found on four comparisons. This research holds implications in the areas of advocating for gifted education, collecting field data, utilizing large datasets, and understanding rural schools.