Social and Behavioral Sciences Commons^™

Evaluating An Integrated Science, Technology, Engineering, And Math/Computational Thinking Professional Development Program For Elementary Level Paraprofessional Educators, Aubrey A. Rogowski

All Graduate Theses and Dissertations, Fall 2023 to Present

For my dissertation, I looked at a training program one Utah school district used to teach paraprofessional educators science, technology, engineering, math, and computational thinking. Specifically, the program taught them about what computational thinking is and how they could use it when teaching science, technology, engineering, and math to students from kindergarten to sixth grade. While reviewing this program, I evaluated 1) The experiences the paraprofessionals had with the program, 2) Whether the paraprofessionals understood computational thinking, and 3) Whether the program prepared them to teach computational thinking to K-6 students.

I worked with eight paraprofessionals who participated in this …

Processes Of Couple Co-Regulation In Bereavement: A Longitudinal Study, Jessica Barboza

All Graduate Theses and Dissertations, Fall 2023 to Present

Five couples reported on their experience of coping with and supporting their partner through the loss of a child. In-depth interviews with these bereaved parents revealed that couples engage in processes of regulating self, regulating other and forming a grief rhythm after child-loss. These processes have important implications for future research and therapeutic practice with bereaved parents, couples, and families.

Mattering And Attachment: A Bilateral Association That Underlies Relationship Outcomes In Couples, Jacob Ybarra

All Graduate Theses and Dissertations, Fall 2023 to Present

In this master's thesis, I conducted a quantitative study using data from 100 heterosexual couples in a committed, romantic relationship to better understand the relationship between perceived mattering (PM) and attachment and to explore how mattering relates to various mental health and relationship outcomes. All 200 partners independently completed an online anonymous questionnaire consisting of various quantitative assessments measuring my study variables (e.g., attachment, PM, and relationship and mental health outcomes).

I used dyadic data analysis to examine how study variables related to an individual's outcomes as well as their partner's. Overall, findings from the first analysis highlighted that men …