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…

This study has three primary objectives. First to provide insight into possibilities for moderation/mediation analysis in education research by discussing analytical methods based on the counterfactual and developed in other disciplines. Second is to highlight specific issues related to mediation and the estimation of effects when the outcome is…

Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…

Environmental science classes often ask students to examine changes in species or their environments to determine the human impact on a particular habitat or ecosystem. It is not always practical to take students out for a field study to do this kind of analysis; instead, the scientific method and diversity analyses can be utilized while students…

Historically, undergraduate anatomy and physiology (A&P) has been a challenging course for incorporating conceptual learning techniques due to large class sizes and an emphasis on content and terminology. The project utilized the Predict-Observe-Explain (POE) strategy to create short activities based on real-world scenarios that incorporated…

This study probed the conceptualization of (in)authenticity in teaching and the way it could be enacted in pedagogical practices. The participants were a purposive sample of 20 Iranian university teachers. Data were collected using in-depth interviews, field notes, and observation. The collected data were analyzed through the lens of hermeneutic…

Multiple data collection or research methods exist for evaluating library spaces. Faced with numerous choices and limited time for gathering data, it becomes challenging for information professionals to determine the best way to proceed with evaluating their libraries' physical spaces. There is a gap in the literature on best practices for…

Implicit bias is an issue that all instructors must face in their classrooms; this article describes an academic development method to help instructors address it. The method centres on EQUIP (https://www.equip.ninja), a free, web-based application for performing classroom observations that provides data disaggregated by social markers.…

Preservice teachers are placed in educational environments to learn about teaching literacy and about literacy's role in the English Language Arts (ELA) classroom. Of particular significance is how preservice teachers perceive and understand the varied components of language arts (i.e., reading, writing, speaking, listening, viewing, and visually…

In the academic libraries' efforts to support digital humanities and social science, GIS service plays an important role. However, there is no general service model existing about how libraries can develop GIS services to best engage with digital humanities and social science. In this study, we adopted the action research method to develop and…

The article documents the reflections on gathering data from the home country via distance while living and studying in New Zealand. These reflections strengthen the idea that data collection via distance could be a viable solution in circumstances where face-to-face data collection may not be an option. Three threads: negotiations, insider…

With developing technology statistical information and data sources become a very important issues and from primary school it has become necessary to gain the skills for making interpreting and making sense of data. These skills consist of collecting information, arrangement and analysis of collected data and the interpretation of the results. The…

This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex…

Student engagement is one of the most relevant topics within the academic and research community nowadays. Higher education curriculum, teaching and learning integrate new technology- supported learning solutions. New methods and tools enhance teacher and learner interactions and influence learner engagement positively. This research addresses the…

Purpose: The purpose of this paper is to answer the question, what progress student teachers make during one academic year, while being trained in a professional learning community, using objective classroom observation, using lesson preparation templates that match their developmental stage and stage-focused mentor feedback.…