Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard goodness-of-fit statistics. Limited-information fit…

We investigated the relationship between category learning and domain-general object recognition ability (o). We assessed this relationship in a radiological context, using a category learning test in which participants judged whether white blood cells were cancerous. In study 1, Bayesian evidence negated a relationship between o and category…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Although internationalisation underpins many practices in higher education, its adopted approaches can be uneven between institutions and create ambiguous conceptualisations of how it is enacted in practice. Therefore, a whole-sector analysis can provide insight into whether spaces exist for new and innovative approaches to internationalisation,…

Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…

Researchers who investigate value-laden professional practices face the challenge of creating a space in which to explore workplace priorities. Education professionals, for example, are keyed to the development and wellbeing of their students, yet frequently work in environments in which there are constraints on their practice. These professionals…

Why do inequalities in schooling persist, even in relatively egalitarian school systems? This article examines within school sorting as an explanation. We use classroom data on friendship networks in 480 European secondary schools and contrast comprehensive (England, Sweden) and tracked systems (Germany, Netherlands). Our question is to what…

Studies have found a relationship between pretend play and self-regulation both during and outside pretend play; however, very few have investigated these three variables simultaneously. Therefore, this study examined the relationship between the frequency of role-play (a type of pretend play), self-regulatory behaviour during role-play, and…

Many papers on international student mobility have analysed different macro factors influencing the decision making of international students. However, only a limited number of studies have considered the role of language distance on international educational choices. This paper aims to fill that gap by identifying the role of language proximity…

In spring 2018, an inquiry-oriented differential equations course was offered at the Lebanese American University. This paper highlights students' comprehension of some qualitative aspects of differential equations, namely their understanding of the equations and their solutions. It also explores the students' success in moving between the…

This project sought to revise the Pastoral Theology program at Shepherds Theological Seminary in Cary, North Carolina. Chapter 1 presents the history and ministry context of Shepherds Theological Seminary and the goals of this project. Chapter 2 provides exegesis of three passages of Scripture (1 Tim 3:1-7; 1 Tim 4:6-16; 2 Tim 2:1-6) to show that…

Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…

Classification is a complex process that involves scientific concepts and higher-order mental processes such as abstraction, generalization, and pattern recognition. Even though it is an important competence for understanding the world, dealing with data and information, and solving complex problems, the education system embeds just its simplest…

This paper articulates an approach to incorporating instructor feedback in design-based research. Throughout the process of designing and implementing curriculum to support middle school students' debugging practices in a summer computer science workshop, our research and practice team utilized instructor-generated conjecture maps as boundary…

Background: Implementation quality is a significant factor in determining whether a program has its intended impact (Durlak and DuPre, 2008; List et al., 2021). Therefore, when studying a program's efficacy, researchers must ensure that the program is implemented as intended to estimate its impact. To evaluate whether a program is being…