This dissertation address two significant challenges in the causal inference workflow for Big Observational Data. The first is designing Big Observational Data with high-dimensional and heterogeneous covariates. The second is performing uncertainty quantification for estimates of causal estimands that are obtained from the application of black box…

The concept of computational thinking (CT) has become more prevalent across the engineering education research and teaching landscape. Yet much of the research to date has been more definitional and has not offered many ways to convert CT theory to practice. One prominent set of tools used across engineering disciplines is modeling and simulation,…

Counting is an intellectual activity that is usually identified with the assignment of positive whole numbers ("1, 2, 3, 4, ...") in one-to-one correspondence with a collection of items in one's attentional field. Taking into account a broader, "combinatorial" meaning of the term, counting extends far beyond this description.…

Knowledge-producing practices in sciences and engineering increasingly use computational means for modeling and working with data. Despite consensus regarding the importance of computational thinking in science and engineering, scholars differ in conceptualization of the primary purposes and role of its integration in K-12 science (Kafai &…

Calculation of the correct dosages is a key factor for safe patient medication administration. For decades nurse educators have aimed to improve the knowledge and skills of the pre-licensure nursing students for medication administration. In a midwestern prelicensure nursing school, a program was implemented using a curriculum wide approach for…

As online learning platforms and computerized testing become more common, an increasing amount of data are collected about users. These data include, but are not limited to, response time, keystroke logs, and raw text. The desire to observe these features of the response process reflect an underlying interest in the cognitive processes and…

To realize more equitable technology futures, it is not enough to simply adapt technology to be more inclusive "after" it is created. We will also need to equip technology creators with the skills they need to critically reflect upon bias and exclusion "during" the technology design process. The question of how to best to…

Physics education researchers and curriculum developers have recognized the experiential expertise of students, using students' perspectives to make improvements to curriculum and pedagogy. Recently, they have given students more control in this process, sometimes even a direct voice in curricular decision-making. This dissertation intends to…

The purpose of this study was to examine the psychometric properties of the Precalculus Concept Assessment (PCA), a 25-item multiple-choice instrument designed to assess student reasoning abilities and understanding of foundational calculus concepts (Carlson et al., 2010). When this study was conducted, the extant research on the PCA and the PCA…

This research study employed quantitative and qualitative designs to explore the impact of immersive technology on the Computational Thinking (CT) capabilities of students enrolled in an engineering program at a Historically Black College or University (HBCU). The quantitative study in this research employs a survey design approach to explore the…

This is a study of student engagement with computational labs in Calculus 2. The labs task students with using MATLAB to investigate contexts such as rocket science, disease modeling, and market economics forecasting by modifying and executing provided code, guided by questions that have students report the results of their simulations or…

First-Year Engineering (FYE) programs are a critical part of engineering education, yet they are quite complex settings. Given the importance and complexity of FYE programs, research to better understand student learning and inform design and assessment in FYE programs is imperative. Therefore, this dissertation showcases various uses of data…

Universities consist of students, faculty and staff, interacting through multiple layers of organization and on a variety of time scales. They are complex adaptive systems (CAS) yet the bulk of scholarship on higher education analyzes them using conventional social science methods, with little work that tries to understand them using complexity…

Wing (2010) says computational thinking (CT) is the "new literacy of the 21st century" (p. 3), but yet computational thinking does not have a widely accepted definition making it difficult to know what are its associated skills. Understanding what these skills are is important to be able to teach this new literacy. Various populations…

The increased presence of technology in all aspects of daily life makes computational thinking a necessary skill. Predictions say that the rising need for computational thinkers will be unmet by computer science graduates. An e-textile learning module, based on principles of constructionism, was designed as a method to develop computational…