Background and Aims: Individuals often consider the relative desirabilities of two types of educational methods: those oriented towards teacher guidance and those oriented towards student activity. This study examined whether the optimal methods perceived by individuals differ when they take the perspective of learners or instructors with low or…

The English Learner population (EL) in the United States continues to grow, with more than 5 million students currently identified as English Learner students. While districts and schools were held accountable for their English Learner students under the No Child Left Behind Act[superscript 4], the Every Student Succeeds Act (ESSA)[superscript 5]…

Purpose: The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance. Design/methodology/approach: For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then…

U.S. policy makers continue to struggle with identifying inclusive strategies that effectively support the needs of individual family child care (FCC) providers, who tend to have low quality rating improvement systems (QRIS) scores. To ensure program quality, there is a need to identify supportive strategies and evidence-based practices that build…

This study aims to classify subtypes of mathematics disability (MD) using a novel classification method, cognitive diagnostic models (CDMs), and examine whether domain-general skills, namely, linguistic, working memory, and spatial skills, were related to the identification of the subtypes. Participants were 454 children (246 boys; age: M ± SD =…

This study used rich individual-level registry data covering the entire Norwegian population to identify students aged 17-21 who either failed a high-stakes exit exam or who received the lowest passing grade from 2006 to 2018. Propensity score matching on high-quality observed characteristics was utilized to allow meaningful comparisons (N =…

This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…

Procrastination in academic contexts is thought to have a negative effect on students' learning and performance. This research sought to provide a comprehensive multi-method and multimodal validation of a self-report measure of procrastination, revealing its intricate associations with behavioral indicators of procrastination, engagement, and…

This article explores external facilitation for school improvement; more specifically, it examines the practical work of external facilitators. It is based on a Swedish case in which facilitators at the Swedish National Agency for Education support low-performing schools. The article aims to develop knowledge about how external facilitators in…

We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…

Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…

Collaborative argumentation (CA) is a prolific but challenging form of collaborative learning that requires group members to engage in a quantity of regulation to sustain the group's productive functioning. The purpose of this study was to investigate the differences between the high- and low-performing CA groups in terms of (a) challenges and…

Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…

This is an exploratory study on returning migrants as adult learners preparing to return to their home countries. We examined the educational needs and learning experiences of nine Mongolian migrants returning from South Korea who participated in vocational education programs for imminent returnees. Our qualitative analysis found that returning…

The Dunning-Kruger effect refers to low performing individuals' tendency to overestimate their performance. The metacognitive deficit is thought to be responsible for this inflated self-assessment observed among the low performers. The present study investigated whether the Dunning-Kruger effect occurs in college students during online distance…