The Academic Anxiety Scale (AAS; Cassady, 2022; Cassady et al., 2019) is a measure of the construct academic anxiety, which is a generalized representation of anxieties experienced by learners in educational settings. Academic anxiety has been identified as a preclinical indicator of anxiety that provides important predictive utility to clinical…

The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…

Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…

Administrative data sets can play a key role in informing and influencing education provision. To date, longitudinal analysis of special educational needs (SEN) in Northern Ireland (NI) has not been a visible feature of policy discourse, even though the number of these pupils has increased at a rate that is proportionally higher than the general…

The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery (SD) approach based on MapReduce. The proposed SD approach, which is an extension of the well-known FP-Growth algorithm, considers emerging parallel methodologies like MapReduce to be able to cope…

Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…

The main purpose of the present study was to examine the typology of Palestinian student-teachers living in Israel according to four variables: (a) the type of motivation, (b) perceived suitability, (c) career choice satisfaction and (d) student-teacher commitment. Data were collected from 113 first-year Palestinian Arab students studying at…

This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

A growing body of scholarship has examined different aspects of the international student experience in higher education institutions, yet few studies have critically interrogated the very concept of the "international student" itself. In this article, we consider the different ways in which politico-legal practices of boundarymaking…

The purpose of this study was to explore high school course-taking sequences and their relationship to college enrollment. Specifically, we implemented sequence analysis to discover common course-taking trajectories in math, science, and English language arts using high school transcript data from a recent nationally representative survey. Through…

The purpose of this study was to explore high school course-taking sequences and their relationship to college enrollment. Specifically, we implemented sequence analysis to discover common course-taking trajectories in math, science, and English language arts using high school transcript data from a recent nationally representative survey. Through…

This article used a rich longitudinal data set from four school districts in California to study absenteeism patterns among students classified as an English learner (EL). We looked at absence patterns overall and disaggregated by EL classification, grade level, and pre/post COVID-19. When their demographic and school-level factors are considered,…

Studies measuring online learning have adopted different perspectives, resulting in different approaches to their assessment of online learning. However, when we consider the literature from a wider angle, there may be complimentary or contrasting relationships. This study performed content analysis on a total of 44 studies that used…

In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…

The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…