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Full-Text Articles in Education
Gender Differences In High School Students’ Perceptions Of Math And Science Identity, Self-Efficacy, And Utility, Lauren Mauel
Gender Differences In High School Students’ Perceptions Of Math And Science Identity, Self-Efficacy, And Utility, Lauren Mauel
All Electronic Theses and Dissertations
This quantitative dissertation examined the differences between young men and women’s perceptions of mathematics and science identity, self-efficacy, and utility. There are gender norms and stereotypes that impact identity, self-efficacy, and perceived utility of mathematics and science. The secondary data analyzed were drawn from the follow-up High School Longitudinal Survey (HSLS:09). The survey was administered to 20,594 11th-grade students enrolled at 904 eligible public, charter, and private schools from all states and the District of Columbia. The study investigated whether there are gender-based statistically significant (p < 0.05) differences in 11th grade students’ perceptions of mathematics and science identity, mathematics and science self-efficacy, and mathematics and science utility. The results of the study suggest that there are statistically significant differences between the genders in mathematics identity, science identity, mathematics self-efficacy, and science self-efficacy, but not statistically significant differences in mathematics utility and science utility. Continued research could prove useful to continue analyzing the gender gaps present.
Integrating Common Data Analytics Tools Into Non-Technical Undergraduate Curricula, Kurt Kirstein
Integrating Common Data Analytics Tools Into Non-Technical Undergraduate Curricula, Kurt Kirstein
All Faculty Scholarship for the College of Education and Professional Studies
Aside from statistics courses, accessible data analytics skills are often excluded from traditional non-technical university programs. These are topics that are typically the domain of programs that focus on math, statistics and computer science. Yet the need for these skills in non-technical disciplines is changing. A rapid expansion of data-related processes in organizations of many types requires individuals who have at least a working knowledge of common analytic tools. This article briefly describes three categories of data analytics tools that can be useful for graduates in any discipline. The first category covers descriptive tools that allow students to learn what …
The Analytics Managers Ultimate Guide For Working With Universities, Robert J. Mcgrath
The Analytics Managers Ultimate Guide For Working With Universities, Robert J. Mcgrath
Faculty Publications
The challenges organizations are having related to finding (and retaining) deep analytical talent did not materialize out of thin air…or overnight. Analytics and Data science – and the role of the analytics professional – has evolved over the last several decades and has been fueled by our ability to capture and process increasingly larger and more complex variations of data and our desire to gain increasingly granular insights to fuel innovation and creativity. While many organizations recognize that a partnership with a university can be a resource to many of these challenges, the best way to start a conversation with …