Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…

This dissertation discusses the relationship between teacher sensemaking, attributions, and instructional adjustments prompted in response to student performance data. Through this qualitative observation study, this paper explores the varying perspectives of teachers, including their level of assessment literacy, and the dynamics of their…

This essay starts with the classical assertion of Niklas Luhmann that there exist no pedagogic technologies, but takes up parts of his conceptual understanding of technology to describe and understand mass schooling in the nineteenth century. It is argued that using his terminology and focusing on "technologies of schooling" brings into…

This study explores preservice teacher attributions to children's behaviors portrayed in specific emotion-laden school scenarios. Participants included 178 preservice teachers from three universities. The preservice teachers viewed video vignettes of Black and White child actors in six different school scenarios. Our team constructed two themes…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

Addressing legacies of past injustice is a central concern for transitional justice. It has most commonly been attempted through a 'truth-telling' approach; it is assumed that if the truth of past injustices is made known, then justice can be acted upon within contemporary society. 'Truth telling'--and disciplinary approaches to learning about…

Narrative is fundamental to human thought, yet in many classrooms, expository texts are commonly used to support learning in content-based subjects, such as history. Given the importance of narrative, it might be harnessed as a powerful tool to support learning. This research compares the impact of narrative nonfiction (NNF) and expository text…

The central importance of evolution to all biological sciences is recognised by many authors. Despite this scientific consensus, the theory of evolution is commonly presented as one discrete topic among many in the biology curriculum. Possible reasons for this scenario include discomfort with the content, ideological opposition and teachers'…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

Purpose: The aim of this paper is to examine the usefulness of the stimulus-organism-response (S-O-R) model for systematizing and further exploring the knowledge of the role of entrepreneurship education (EE) in fostering students' entrepreneurial mindset (EM). Current research studying the EM in an educational setting often fails to conceptualize…

The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…

Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…

Current research in science education and the cognitive sciences has highlighted the importance of epistemic tools in scaffolding learners to think in ways consistent with scientific practices. However, recent studies on epistemic tool have mainly focused on epistemic cognition, but not epistemic metacognition. Epistemic metacognition, which…

Many education researchers have advocated grounding abstract mathematical and scientific concepts in students' lived experiences, environmental interactions, and perceptions. This dissertation explores the causal effects of various grounding strategies in instructional settings, specifically on the topic of statistical sampling. The first chapter…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…