The use of infographics for presenting data in the media and on the Internet has become a widespread phenomenon. This study examines how well undergraduates interpret the mean when presented in infographic, their attitudes towards the misuse of statistics, and their perceptions of their knowledge and use of statistics. The infographic was intended…

Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…

Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…

Head Start is a national program that helps young children from families with low income get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…

"Online social presence" -- the degree to which individuals project their identities and personalities into a web-based community -- plays an essential role in fostering a connected and satisfying learning environment. The present study's aim was to explore gender differences in behaviors related to social presence in an online course.…

Purpose: This study introduces a framework to produce very short versions of the MacArthur-Bates Communicative Development Inventories (CDIs) by combining the Bayesian-inspired approach introduced by Mayor and Mani (2019) with an item response theory-based computerized adaptive testing that adapts to the ability of each child, in line with…

Education research has established that teachers' beliefs matter because they can affect classroom practices and student outcomes, and beliefs are viewed as an important construct within statistics education. However, relatively little research about the beliefs of in-service statistics teachers has been conducted. Additionally, little research…

This is an interview with Prince Afriyie. He is an Assistant Professor, General Faculty, in the Department of Statistics at the University of Virginia. This interview took place via email on May 30-July 1, 2020. He speaks about his education in Ghana, education in the United States, teaching statistics and data science, and racial injustice in the…

This article assesses the likely generalizability of educational treatment-effect estimates from regression discontinuity designs (RDDs) when treatment assignment is based on academic pretest scores. Our assessment uses data on outcome and pretest measures from six educational experiments, ranging from preschool through high school, to estimate…

This study aims to assess the quality of school life as a second-order formative construct and provide empirical evidence for its measurement model. Data were collected from 1459 Malaysian Grade Five pupils. A partial least squares structural equation modelling (PLS-SEM) approach was used for data analysis. Findings supported that six reflective…

Demanding new ventures has been a global challenge, and the government responds to this issue through entrepreneurial education. Among the increasing studies on entrepreneurship, there is a lack of empirical evidence examining how entrepreneurial education prepares students being entrepreneurs. This study elaborates on several predicted variables…

A transcript analysis by Freng, Webber, Blatter, Wing, and Scott found that methodology course performance and enrollment timing predicted grade point average in advanced psychology courses. The present study attempted to replicate and extend Freng et al. by using a larger sample and controlling for additional variables (methodology course…

During a short chemometrics course in the seventh semester of the chemistry undergraduate program, students receive a brief theoretical introduction to multivariate calibration, focused on partial least-squares regression as the most commonly employed data processing tool. The theory is complemented with the use of MVC1_R, an easy-to-use software…

This article assesses the likely generalizability of educational treatment-effect estimates from regression discontinuity designs (RDDs) when treatment assignment is based on academic pretest scores. Our assessment uses data on outcome and pretest measures from six educational experiments, ranging from preschool through high school, to estimate…

This case study examined the current assessment practices in the math school of a large research university in the United States. After reviewing a sample of course syllabi offered in the spring 2021 semester, we descriptively summarized the use of 19 assessment methods in the school and examined the assessment patterns by subjects, class…