Background: Children with asthma are often marginalized at school, including bullying victimization. The purpose of this study is to estimate the association between asthma and school or electronic bullying victimization among US high school students, and test whether the association varies significantly by sex. Methods: Pooled data from five…

The purpose of the current study was to explore the effect of modality (constructionist mBlock, Scratch, and Python interventions) on six-grade students' computational thinking, programming attitude, and achievement. The pre-test and post-test quasi-experimental design was used to explore the research questions. The study group consisted of 105…

Learning computer programming can be challenging for primary school students due to its abstract concepts. While teachers seek effective ways to introduce such concepts, the application of learning objects (LOs) can potentially reduce the effort of creating new material from and allows teachers to adapt LOs to students' needs. Although numerous…

The aim of the research is to understand in-service and pre-service preschool teachers' perceptions of coding after their lived experiences to develop suggestions regarding incorporating coding practices into early childhood education. The study employed a phenomenological design with a total of 28 pre-service and in-service preschool teachers (19…

Structural equation modeling (SEM) is widely used in behavioral, social, and education research. Drawing publication-ready path diagrams for SEM is not a pleasant task with the existing software. The article introduces an open-source web-based graphical application, "semdiag," for drawing WYSIWYG SEM path diagrams interactively. The…

Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…

This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Scientific programming has become increasingly essential for manipulating, visualizing, and interpreting the large volumes of data acquired in earth science research. Yet few discipline-specific instructional approaches have been documented and assessed for their effectiveness in equipping geoscience undergraduate students with coding skills. Here…

This article is presented in two parts: in the first part we discuss the use of R and R-related tools when implementing a data science curriculum in the classroom and direct readers to helpful R resources in education, and in the second part, we demonstrate the use of R in exploring COVID-19 data. In particular, we explore ethnic/racial…

Summary statistics and data visualizations are often used to explore data and draw preliminary conclusions. Although valuable, these tools do not always reveal the underlying patterns and trends in the data and can sometimes be misleading. We describe an approach for teaching the need for more advanced statistical analysis using multiple linear…

With the introduction of new standards for electronic records and transcripts and other changes within higher education, a perfect storm is forming that challenges the 30 years of electronic data exchange (EDX) work. This article outlines the threat to the work and uses recent data to explore the landscape around the past, present, and future. In…

Various similarity measures for source code have been proposed, many rely on edit- or tree-distance. To support a lecturer in quickly assessing live or online exercises with respect to "approaches taken by the students," we compare source code on a more abstract, semantic level. Even if novice student's solutions follow the same idea,…

Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…

Learning to write programs is hard, but many fail to even learn basic program reading skills, such as mentally tracing a program to predict its behavior. This dissertation argues a new theory of programming language knowledge that includes mappings from syntax to semantics and their nested combinations can serve as the basis for more granular…