2 resultados para E. coli K-12

em DRUM (Digital Repository at the University of Maryland)


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Nationally, the education sector spends more than 5 billion dollars annually on digital tools, “yet seldom are technology solutions factored into any viable equation for improving student academic achievement” (Moersch, 2014, p. ix). Consider the following case in point: In July 2014, Apple announced that in just 3 years, the company had sold more than13 million iPads to educational institutions worldwide (Cavanagh, 2014). Put into perspective, that represents more than 5.2 billion dollars spent by the education industry to purchase iPads, which is the equivalent of the annual salaries of 89,655 teachers (“High School Teacher: Salary,” 2014). Despite such vast expenditures, there have been very few attempts to evaluate the efficacy of these digital tools on improving academic achievement. This research involved a quantitative data review of participant (student and teacher) survey data to explore one of the country’s largest K-12 iPad implementation undertakings in an effort to identify (a) best practices and (b) lessons learned from implementing the iPad into K-12 educational environments. It should be noted that the school system forming the basis of this research already had administered and collated the surveys used in this study.

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This study examines the factors facilitating the transfer admission of students broadly classified as Black from a single community college into a selective engineering college. The work aims to further research on STEM preparation and performance for students of color, as well as scholarship on increasing access to four-year institutions from two-year schools. Factors illuminating Underrepresented Racial and Ethnic Minority (URM) student pathways through Science, Technology, Engineering, and Mathematics (STEM) degree programs have often been examined through large-scale quantitative studies. However, this qualitative study complements quantitative data through demographic questionnaires, as well as semi-structured individual and group. The backgrounds and voices of diverse Black transfer students in four-year engineering degree programs were captured through these methods. Major findings from this research include evidence that community college faculty, peer networks, and family members facilitated transfer. Other results distinguish Black African from Black American transfers; included in these distinctions are depictions of different K-12 schooling experiences and differences in how participants self-identified. The findings that result from this research build upon the few studies that account for expanded dimensions of student diversity within the Black population. Among other demographic data, participants’ countries of birth and years of migration to the U.S. (if applicable) are included. Interviews reveal participants’ perceptions of factors impacting their educational trajectories in STEM and subsequent ability to transfer into a competitive undergraduate engineering program. This study is inclusive of, and reveals an important shifting demographic within the United States of America, Black Africans, who represent one of the fastest-growing segments of the immigrant population.