In the last three decades, there has been a significant growth in the number of undergraduate students taking introductory statistics. As a result, there is a need by universities and community colleges to find well-qualified instructors and graduate teaching assistants to teach the growing number of statistics courses. Unfortunately, research has…

The short history of massive open online courses (MOOCs) has been turbulent. Initial hype has quickly disappeared. MOOCs appear to be experiencing their first stage of maturation offering an opportunity to consider the design of established MOOCs that have been offered on a continual basis. This paper describes a MOOC designed to provide an…

The purpose of this research was to assess student progress in and completion of a career-technical education (CTE) program. This study focused on the Williamson College of Trades (WC) in Media, PA and explored the relation between student strengths of school engagement and vocational identity, and contextual assets, of program quality and family…

Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…

Standardized assessment of content knowledge for STEM (Science, Technology, Engineering, Mathematics) topics is pervasive in both K-12 and postsecondary institutions. Yet, most instruments are developed with little to no validation for students with learning disability (LD), attention deficit hyperactivity disorder (ADHD), and autism spectrum…

Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not…

Peer tutoring is an effective method of improving undergraduate students' academic performance, especially for those at-risk for poor grades. Peer tutoring has seldom been explored in undergraduate statistics, a difficult but required course for many college majors. The current study investigated the benefits of peer tutoring for 180…

In the past several decades, higher education has witnessed the exponential growth of online learning. New technology has dramatically transformed the way education is delivered compared to what takes place in the traditional classroom. It has enabled online delivery of course materials to students outside of face-to-face classroom in an…

The study aimed to compare the level of self-perceived employability of public and private sector university graduates. It was a descriptive and cross sectional survey. Population of the study was university graduating students enrolled in final year/ semester. Multi-stage purposive sampling was used to collect data from ten universities; five…

Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…

The goal of the proposed working group is to create a space for those interested in researching issues around the teaching and learning of statistics to meet, discuss, synthesize past research, and begin to strategize ways of leveraging multiple perspectives and expertise to identify and address current challenges in statistics education. The…

In March 2019 the Ministry of Education (MOE) commissioned NZCER to conduct an exploratory study of curriculum levelling in the Science and Mathematics and Statistics learning areas of "The New Zealand Curriculum" (NZC). The study was prompted in part by a desire to probe possible reasons for patterns of achievement reported by the…

Hierarchical or multilevel linear models are widely used for longitudinal or cross-sectional data on students nested in classes and schools, and are particularly important for estimating treatment effects in cluster-randomized trials, multi-site trials, and meta-analyses. The models can allow for variation in treatment effects, as well as…

This report examines the effects of taking math in 12th grade on several academic outcomes, including high school grade point average, A-G course completion, college enrollment, and college persistence. We also investigate whether particular types of math courses (for example, Calculus or Statistics) are especially beneficial for students'…

This report examines the impact of taking a math course in twelfth grade on L.A. Unified students' science, technology, engineering, and math (STEM) college course taking and academic achievement. We also investigate whether particular types of math courses (for example, Calculus or Statistics) are especially beneficial for students' postsecondary…