The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework…

Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based…

This mixed methods study investigates novice teacher and coach survey responses from a two-year induction programme to learn more about what makes a good match. We qualitatively analyse comments from all novice teachers and coaches who were paired across years and find shared themes of structural, professional, and personality similarities as well…

Using panel data from three successive collective bargaining (CBA) negotiation cycles from 277 California school districts in a difference-in-differences framework, I investigate the relationship between changes in CBA restrictiveness and racial and economic achievement gaps over time. I find that achievement gaps in California are smaller where…

This paper introduces a new method to measure school-level inequality based on Item Response Theory (IRT) models. Categorical data collected by large-scale assessments poses diverse methodological challenges hinder measuring inequality due to data truncation and asymmetric intervals between categories. I use family possessions data from PISA 2015…

The following autoethnography was completed by two graduate students at University A learning to enact teaching for social justice while building content underpinnings in statistics at University B. The authors present a research base for teaching for social justice followed by a description of their lesson, observations during enactment, and…

The relevance of this study is due to the increasing importance and role of universities in the context of growing competition in the international market of educational services. Higher education institutions face the problem of needing to adapt their educational and socio-cultural environment for international students from different countries.…

Researchers face many choices when conducting large-scale multisite individually randomized control trials. One of the most common quantities of interest in multisite RCTs is the overall average effect. Even this quantity is non-trivial to define and estimate. The researcher can target the average effect across individuals or sites. Furthermore,…

Social justice is an American Psychological Association (APA) ethical principal which is often taught in content courses (e.g. social psychology, developmental psychology, introductory psychology) but rarely covered in psychological statistics courses. This is problematic, as psychology students may assume that bias is not an issue when…

We focus on the pedagogical merit of introducing and assessing Thresholds Concepts (TCs) in the curriculum with a view to (inter alia) regain public confidence and trust in the legitimacy of business education and qualifications -- especially since the 2007-2010 global recession. While the education literature foregrounds the role of higher…

This study examined preservice mathematics teachers' selective attention and knowledge-based reasoning as they viewed a statistics lesson video. Analysis for this study was based on preservice teachers' written explanations for noteworthy moments they identified when watching the video. Findings indicated that, with regard to the preservice…

Wenger's theory of learning proposes the concepts of "participation" and "reification" as dimensions of educational design. Based on this proposal, this position paper looks at the design of one Mathematics Professional Development Program (MPDP) through the lenses of these concepts. We argue that the "reification"…

Quantitative literacy is necessary to keep pace with the exponentially increasing magnitude of biological data and the complexity of statistical tools. However, statistical programming can cause anxiety in new learners and educators alike. In order to produce graduates that are well-prepared for quantitative research, overcoming the initial…

Mixture IRT models address the heterogeneity in a population by extracting latent classes and allowing item parameters to vary between latent classes. Once the latent classes are extracted, they need to be further examined to be characterized. Some approaches have been adopted in the literature for this purpose. These approaches examine either the…

Producing content-related gestures has been found to impact students' learning, whether such gestures are spontaneously generated by the learner in the course of problem-solving, or participants are instructed to pose based on experimenter instructions during problem-solving and word learning. Few studies, however, have investigated the effect of…