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…

Grounded within current reform recommendations and built upon Giere's views (1986, 1999) on model-based science, we propose an alternative approach to science education which we refer to as the "Evidence-Explanation (EE) Continuum." The approach addresses conceptual, epistemological, and social domains of knowledge, and places emphasis…

This study aimed at understanding and investigating the lived experiences of early childhood teachers' observation practices as a professional tool. Interpretative phenomenological approach was utilized to investigate participants' experiences deeply from their lived experiences. The current study's participants consisted of five early childhood…

Observational citizen science is an effective way to supplement the environmental datasets compiled by professional scientists. Involving volunteers in data collection has the added educational benefits of increased scientific awareness and local ownership of environmental concerns. This thesis provides an in-depth exploration of observational…

Background: Data-driven decision making continues to be a common feature of educational reform agendas across the globe. In many U.S. schools, the teacher team meeting is a key setting in which data use is intended to take place, with the aim of planning instruction to address students' needs. However, most prior research has not examined how the…

The study summarized in this research to practice brief, "Creating data-driven instructional systems in school: The new instructional leadership," Halverson, R., Grigg, J., Pritchett, R., & Thomas, C. (2015), "Journal of School Leadership," 25. 447-481, investigated whether student outcome improvements were linked to the…

Formative assessment and effective use of data to support student learning are key components of practice in early childhood (EC) centres. Although Trinidad and Tobago has developed an impressive EC care system, to decrease the achievement gap which international studies have shown to be significant in core subjects, educational planners must…

This study examines how geoscience experts and novices make meaning from an iconic type of data visualization: shaded relief images of bathymetry and topography. Participants examined, described, and interpreted a global image, two high-resolution seafloor images, and 2 high-resolution continental images, while having their gaze direction…

Observational studies are common in educational research, where subjects self-select or are otherwise non-randomly assigned to different interventions (e.g., educational programs, grade retention, special education). Unbiased estimation of a causal effect with observational data depends crucially on the assumption of ignorability, which specifies…

If your professional learning seems stalled, maybe you could put yourself and your colleagues in the driver's seat of professional development. The authors describe a professional learning approach that gives teachers both a say in what they focus their learning on and a chance to practice and refine teaching strategies that they hope to…

The use of "radar charts" is an increasingly popular way to present spatial data in a visually interesting format. Some authors recommend using "filled radar charts" to compare the performance of observational units. Filled radar charts are not appropriate for such comparisons because the size of the area within the polygon is not invariant to the…

Two studies investigated the accuracy of eight different interval-based group observation methods that are commonly used to assess the effects of classwide interventions. In Study 1, a Microsoft Visual Basic program was created to simulate a large set of observational data. Binary data were randomly generated at the student level to represent…

In this article the authors report findings from a practice-based study that examines the cultural practices of data use among 59 science and engineering faculty from three large, public research universities. In this exploratory study they documented how faculty use teaching-related data "in the wild" using interviews and classroom…

Although there is a strong legislative base and perceived efficacy for multidisciplinary team decision making, limited evidence supports its effectiveness or consistency of implementation in practice. In recent research, we used the Decision Observation, Recording, and Analysis (DORA) tool to document activities and adult behaviors during positive…

This article discusses talk and gesture as neglected sources of process data (Maddox, 2015, Maddox and Zumbo, 2017). The significance of the article is the growing use of various sources of process data in computer-based testing (Ercikan and Pellegrino, (Eds.) 2017; Zumbo and Hubley, (Eds.) 2017). The use of process data on talk and gesture…