2 resultados para Success criteria

em Digital Commons at Florida International University


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During the years 1890–1920, the public school education system established itself as the medium to transmit American values, knowledge and culture. This study described and explained why some individuals were destined to fail, and others succeed in America's public schools. The exploratory questions guiding this study were: What elements constitute society's perspective of whom it should educate during the years 1890–1920? What variables influenced society's perspective of whom it should educate during the years 1890–1920? ^ After explaining these issues, educators will then have a better understanding and awareness of why certain educational practices are currently implemented and will be able to critically evaluate which ones should be continued. The methodology chosen was historical. The approach for analyzing the data was coding. The information was coded in order to determine themes, concepts and ideas amongst the documents and as portrayed in the literature. The first step was to seek out patterns and then to write out words and phrases to represent these topics. Then, these phrases were attributed to networks. ^ The data indicated that public schools during this era were designed to conform and assimilate the new immigrants and factory workers in an efficient and standardized manner. Efficiency and standardization in production became the American way for government, commerce, personal, lives and the school. Many different approaches to education emerged during this time period, specifically those, which emphasized individuality; but only those, which paralleled the ideology of efficiency, standardization and conformity were adopted. Those students who were unable to conform to society's criteria for success were penalized in the classroom, on IQ examinations and national standardized exams. ^ This study was illuminative in that it explained the root cause as to why some individuals are meant to succeed while others are penalized in the classroom. Future studies connecting standardized assessments and learning styles are suggested. ^

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Accurately predicting the success of graduate students is an important aspect of determining which students should be admitted into graduate programs. The GRE is a pivotal factor to examine since it is one of the most widely used criteria for graduate school admission. Even though the GRE is advertised as an accurate tool for predicting first year graduate GPA, there is a lack of research on long term success factors such as time to degree and graduate rate (Luthy, 1996; Powers, 2004). Furthermore, since most studies have low minority sample sizes, the validity of the GRE may not be the same across all groups (ETS, 2008b; Kuncel, Hezlett, & Ones, 2001). Another gap in GRE studies is that few researchers analyze student characteristics, which may alter or moderate the prediction validity of the GRE. Thus, student characteristics such as degree of academic involvement, mentorship interactions, and other academic and social experiences have not been widely examined in this context. These gaps in the analysis of GRE validity are especially relevant given the high attrition rates within of some graduate programs (e.g., an estimated 68% of doctoral student never complete their programs in urban universities; Lovitts, 2001). A sequential mixed methods design was used to answer the research questions in two phases. The quantitative phase used student data files to analyze the relationship of two success variables (graduation rate and graduate GPA) to the GRE scores as well as other academic and demographic graduate student characteristics. The qualitative phase served to complement the first phase by describing a wider range of characteristics from the 11 graduate students who were interviewed. Both proximal and distal moderators influence student behaviors and success in graduate school. In the first phase of the study, the GRE was the distal facilitator under analysis. Findings suggested that both the GRE Quantitative and the GRE Verbal were predictors of success for master’s students, but the GRE Quantitative was not predictive of success for doctoral students. Other student characteristics such as demographic variables and disciplinary area were also predictors of success for the population of students studied. In the second phase of the study, it was inconclusive whether the GRE was predictive of graduate student success; though it did influence access to graduate programs. Furthermore, proximal moderators such as student involvement, faculty/peer interactions, motivational factors, and program structure were perceived to be facilitators and/or detractors for success.