This article presents the design and implementation of a study and research path for teacher education (SRP-TE) based on the Anthropological Theory of the Didactic. The goal is to analyze this teacher education proposal for inclusive statistics education aiming to overcome constraints derived from the phenomenon of the transparency of data…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

This study examined whether instructional humor (IH) was not just another type of seductive detail when covariates such as humor pre-disposition, prior-knowledge, and working memory capacity were controlled. Participants were students (N = 228) from universities who were randomly assigned two stimuli conditions in the classic experimental design.…

Self-determination theory has been applied in various educational contexts. Language learning researchers have used factor analysis and structural equation modeling to investigate measures designed for this theory, but Rasch analysis has not been conducted. The Basic Psychological Needs Satisfaction and Frustration Scale (BPNSFS) and the Language…

Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…

This dissertation is comprised of three essays, each examining a different topic in labor economics. In Chapter 1, I examine the productivity and selection effects of K-12 teacher tenure by leveraging variation from New Jersey's TEACHNJ Act. This law extended the pre-tenure period from three to four years and allowed districts to dismiss…

Measurement errors attributable to cultural issues are complex and challenging for educational assessments. We need assessment tests sensitive to the cultural heterogeneity of populations, and psychometric methods appropriate to address fairness and equity concerns. Built on the research of culturally responsive assessment, this dissertation…

Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…

The present study deals with the mediation of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -- F2F, Planned Online Environment -- POE, and Emergency Remote Teaching -- ERT). Self-determination theory…

Building on the need for developing educational responses to the impact of data practices in our everyday lives, a new curriculum called Nayah-Irú was designed and implemented in the context of five alternative schools in Uruguay. Nayah-Irú aimed at fostering Critical Data Literacy (CDL) using speculative civic literacies, helping youth and…

This report provides an overview of kindergarten readiness of six Baltimore City Public Schools (City Schools) kindergarten cohorts from the 2016-17 to the 2021-22 school year. This report is accompanied by the Annual Digest of City Schools Kindergarten Statistics, 2022 Edition (Baltimore Education Research Consortium [BERC], 2022), which provides…

With the emergence of data science as an inherently multidisciplinary subject, there is increasing demand for graduates with well-rounded competence in computing, analytics, and communication skills. However, in conventional education systems, computing & quantitative, and communication skills are often taught in different disciplines. Data…

Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates…

Recently, it has been discussed how actors at universities perceive the Bologna Process. However, there is a lack of understanding about the determinants influencing attitudes towards the reform. In particular, the relation between education policy ideals and perceptions of the Bologna Process has gone unobserved. Based on a survey at three…

This study examines the association between school-based health center (SBHC) presence and school-wide measures of academic achievement and college preparation efforts. Publicly available educational and demographic data from 810 California public high schools were linked to a list of schools with an SBHC. Propensity score matching, a method to…