Education Commons^™

Brainwaves, Memory, And Reward, Rebecca Mccune

Dissertations, Theses, and Capstone Projects

The development of effective educational curricula for enhancing learning involves the crucial consideration of effort and rewards. In the realm of education, teachers commonly employ rewards as motivational tools. Traditionally, these rewards are given to students as a recognition of their successful performance. However, a thought-provoking idea emerges: What if we were to extend rewards to students not solely based on accurate answers, but also on the effort they invest, even in cases where their actual response might be incorrect? Our study explores the potential impact of this approach on the way information is absorbed and subsequently retained, specifically focusing …

Burnout And Depression In Teachers And Members Of Other Occupational Groups: A Systematic Review And Meta-Analyses On Potentially Overlapping Conditions, Gail Swingler

Dissertations, Theses, and Capstone Projects

Burnout has long been recognized as a workplace issue among teachers, and other occupational groups. Burnout has potentially been increasing during the Covid-19 pandemic. Researchers tend to regard burnout as a distinct syndrome comprising emotional exhaustion (EE), depersonalization (DP), and reduced personal accomplishment (rPA). Recent evidence suggests that burnout (as a tripartite syndrome) lacks discriminant validity vis-à-vis depression. The overlap between burnout and depression was examined through two meta-analytic studies.

The first study (K = 13) examined the relationship between burnout and depression in teachers with burnout assessed using the MBI. The findings indicated that exhaustion (EE), and depression …

Identity, Access, And Equity: An Exploratory Mixed-Methods Study Of Mathematics Identity And Socialization In Pre-Service Teachers, Ashley Renaire Davis

Dissertations, Theses, and Capstone Projects

Teaching practices in early childhood through post-secondary learning settings continue to reproduce inequities in mathematics education despite recognition of math’s utility and its necessity for competitiveness in the global economy. For reform efforts to be successful, teachers must change the way mathematics is presented in classrooms where students often experience differences in exposure to mathematics content and time spent covering particular mathematics topics. Therefore, teachers represent a critical component in the cycle of reproduction of unequal access to mathematics. This mixed-methods study examined the processes of mathematics identity formation and mathematics socialization in a diverse sample of pre-service elementary and …

Exploring Motivational Factors Related To Teachers’ Retention And Attrition In Urban Schools, Andrew Wintner

Theses and Dissertations

Retention of educators within urban settings is an essential consideration. More specifically, the retention of Black, Indigenous, and People of Color (BIPOC) educators within urban schools is of great importance as the demographic of students grows increasingly multicultural due to shifting demographic patterns within large urban cities. I explored educator perceptions of motivational factors associated with retention and attrition through the theoretical lens of Situated Expectancy Value Theory (SEVT). A convergent parallel mixed methods design was utilized. Semi-structured interviews (N = 18) occurred simultaneously to quantitative data collection using a 44-item survey (N = 53). Analyses of the …

The Connective Tissue Of Well-Developed Interests: A Case Study Of A Science Research Classroom, Deborah M. Brand

Theses and Dissertations

The purpose of this study was to examine ways that long-term interests in high school students could be inspired and facilitated in educational contexts. In particular, it explored how a high school Science Research (SR) program cultivated belonging and supported autonomy in ways that inspired and promoted well-developed individual interests. This type of interest is characterized by an enduring desire to pursue learning out of an intellectual and emotional need to gain understanding; it drives behavior, motivation, and cognition toward particular activities and ideas. Classroom belonging is derived from this sense of connection and purpose a student feels from the …

Balancing Inference And Prediction In Institutional Research: A Practical Comparison Of Logistic Regression With Machine Learning Techniques In Modeling Student Persistence, Alison Weingarten

Dissertations, Theses, and Capstone Projects

In higher education research, causal inference has traditionally been the focus over predictive power, with statistical models designed to understand and explain the relationships between variables. In the field of institutional research in particular, there is a growing need to not only understand these causal relationships, but also predict what is likely to occur in the future (Which students are most likely to succeed at our college, and who should we admit? Which students are we most likely to lose to attrition, and how can we engage them? Which students are most likely to struggle academically, and what interventions can …

Defining Twice Exceptional Learners: A Study Of Self-Concept, Alyssa D. Landau

Dissertations, Theses, and Capstone Projects

In 2014, the first operational definition of twice exceptional (2e) learners was published in Gifted Child Quarterly to provide a clear and identifiable profile of the population (Reis, Baum, & Burke, 2014). The article defines 2e learners as, “students who demonstrate the potential for high achievement or creative productivity in one or more domains such as math, science, technology, the social arts, the visual, spatial, or performing arts or other areas of human productivity AND who manifest one or more disabilities as defined by federal or state eligibility criteria” (Reis et al., 2014, p. 222-223). Publishing an operational definition of …

Using Bayesian Generalized Structural Equation Modeling To Analyze Latent Agreement, Sydne T. Mccluskey

Dissertations, Theses, and Capstone Projects

Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do they distinguish between agreement on presence versus absence of a state or trait. Latent variable models can address both problems, as well as overcoming other well-documented limitations of agreement statistics (e.g., sample dependence, inappropriate population assumptions). Whether raters exactly agree is usually not the question of interest – researchers almost never care whether the difference …