One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…

This article compares metalinguistic awareness among emerging bilingual and multilingual learners of English in Norwegian primary school. Participants were 120 students in grades 5-7 (aged 10-13) attending mainstream English classes in Norway and were divided into three groups based on a linguistic background questionnaire: an L1 Norwegian group,…

This study focuses on the analysis of certain performance predictors for calculus I. We collected data from 717 students from 2013 through 2018 at a southeastern university in the United States to explore any correlation between course times (particularly very early versus the rest) and student performance in this specific course, along with a…

The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…

Objective: The purpose of this study is to examine the roles of risk perceptions and efficacy beliefs play in predicting emerging adults' health insurance information seeking behavior based on the risk perception attitude (RPA) framework. In addition, the current study tests a role of worry to elucidate an underlying mechanism of their health…

This study examined the nature of young children's literacy interest, the predictability of literacy interest for early literacy skills, and gender differences in literacy interest using a sample of Head Start children (N = 263). Literacy interest was compared across parent-, teacher-, and child-reported measures of literacy activity participation…

Course-based undergraduate research experiences (CUREs) provide opportunities for undergraduate students to engage in authentic research and generally increase the participation rate of students in research. Students' participation in research has a positive impact on their science identity and self-efficacy, both of which can predict integration…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

This study aimed to study the association between diglossic reading skills and reading comprehension in first grade students with and without learning disabilities. In this study population, students presented diglossia in literary and colloquial Arabic: 30 first grade students with learning disabilities and 30 first grade students without…

Automated Essay Scoring (AES) can reliably grade essays at scale and reduce human effort in both classroom and commercial settings. There are currently three dominant supervised learning paradigms for building AES models: feature-based, neural, and hybrid. While feature-based models are more explainable, neural network models often outperform…

The question of why postsecondary institutions produce different labor market outcomes is difficult to answer due to unobserved student characteristics. Here, I leverage students' geographic proximity to three classifications of postsecondary institutions -- earnings-enhancing, competitive, and Historically Black Colleges and Universities (HBCUs).…

Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…

Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…

As the need for engineers continues to increase, a growing focus has been placed on recruiting students into the field of engineering and retaining the students who select engineering as their field of study. As a result of this concentration on student retention, numerous studies have been conducted to identify, understand, and confirm…

Purpose: Children's ability to adjust one's language according to discourse context is important for success in academic settings. This study examined whether second graders vary in linguistic and discourse features depending on discourse contexts, that is, when describing pictures in contextualized (describing the picture to an examiner while…