As a crucial factor that affects the learning performance in MOOC, self-regulated learning (SRL) has elicited considerable interest. Self-regulated learners can manage their learning activities efficiently, however, researchers indicate that MOOC learners do not adequately self-regulate their learning. Thus, providing support to facilitate…

This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…

This paper examines students' perception of the impact of lecturers' ranks on their performance across departments in the Faculty of Mathematical Sciences (FMS) of the University for Development Studies (UDS), Navrongo Campus. The study used a self-designed structured questionnaire administered to 160 respondents (students) of the Faculty. All the…

Formative assessment has long been used to gauge students' understanding of course material prior to taking an exam. With the advent of more advanced technology, only recently have instructors been able to combine formative assessment with a student response system to allow students to respond to questions in real time during class. Previous…

In this dissertation I argue that truth-conditional semantics for vague predicates, combined with a Bayesian account of statistical inference incorporating knowledge of truth-conditions of utterances, generates false predictions regarding negations and metalinguistic inference. I thus propose a fundamentally probabilistic semantics for vagueness…

A long-standing hypothesis in statistics education has posited that instructors could have a large impact on students' attitudes toward statistics. This hypothesis remained untested over the years. Moreover, if instructors do have a large impact on students' statistics attitudes, then there is a need to provide explanations as to what dimensions…

Statistical literacy refers to two interrelated components: people's ability to interpret and critically evaluate statistical information, and their ability to discuss or communicate their reactions to statistical information. The ability to read and interpret graphical displays is part of statistical literacy because much of the statistical…

The present study aimed to investigate the statistical literacy perceptions of instructors who teach undergraduate statistics courses in different disciplines. Participants of the study were consisted of nine instructors of the introductory statistics course from nine different undergraduate programs. Data were collected by the help of the…

We examine changes in California's FAFSA (Free Application for Federal Student Aid) applications during the COVID-19 crisis. There was little change in applications for high school graduates due to an early deadline for state aid. After the deadline--from early March to mid-August--FAFSA applications of potential college freshmen declined 14%,…

Conceptual appropriation is central to the teaching-learning and development processes. The intellectual stage is expressed by writing, verbalization and the use of the object under construction, among other means of expression. This paper discusses the conceptual appropriation by means of the creation of collaborative situations in which the…

Many studies have reported on the influence of teachers' conceptions of variability on different aspects of their professional knowledge for teaching statistics and their classroom practices. However, research on these kind of conceptions is still scarce, particularly in Latin American countries like Venezuela. In an effort to help fill this gap,…

We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…

Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…

This study investigates how youth from two cities in the United States engage in critical data practices as they learn about and take action in their lives and communities in relation to COVID-19 and its intersections with justice-related concerns. Guided by theories of critical data literacies and data justice, a historicized and future-oriented…

The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…