Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…

This article draws on the ongoing discussion in some European countries about whether and how non-religious worldviews and pupils should be included in religious education (RE). This discussion lacks empirical knowledge about the specific learning conditions of these pupils in RE -- a desideratum that this article addresses. Building on a…

When young children evaluate their confidence, their monitoring is often overoptimistic, that is, inaccurate. The present study investigated a potential underlying mechanism for kindergarteners' and second graders' overconfidence within a paired associates learning paradigm. We implemented a pre-monitoring phase motivating children to…

People with autism spectrum disorder (ASD) experience stigmatization rooted in negative attitudes or prejudice toward them due to social awkwardness. However, little is known about implicit attitudes toward ASD, especially differences in attitudes compared to those of more visible conditions; physical disabilities. In this study, we implemented…

The present meta-analysis investigated the effects of recasts along with a number of moderating variables on L2 development by meta-analysing the results of 24 primary studies. The findings revealed an overall medium effect size for the effectiveness of recasts (g = 0.70, 95% CI = 0.48-0.93). Furthermore, the findings indicated that recasts are…

Background: The detection and description of language impairments in neurodegenerative diseases like Alzheimer's Disease (AD) play an important role in research, clinical diagnosis and intervention. Various methodological protocols have been implemented for the assessment of morphosyntactic abilities in AD; narrative discourse elicitation tasks…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

This meta-analysis includes experimental and quasi-experimental studies of reading interventions for English learners (ELs) coupled with four specific instructional strategies. The purposes of this meta-analysis were two-fold: (1) to identify the effects of the four instructional strategies (i.e. scaffolding, graphic organizers, interactive read…

Background: High cannabis use rates among American Indian (AI) adolescents necessitate the identification of factors that protect against early cannabis initiation. Methods: Data collected from 279 AI middle school students attending reservation-based schools in 2018 and 2019 were analyzed. Three waves of data, with approximately 6 months between…

It is well known that teachers' feedback plays an important role in students' learning, as it enhances learners' cognitive development; yet there has been little research on how positive feedback given in the form of emojis works in computer-assisted language learning (CALL) courses. In this study, an experiment was designed to clarify how English…

Mathematics achievement is core to South Africa's readiness for digital innovation, yet current pass rates in this subject are below the global average. Simply attributing mathematics performance to intelligence does not fully account for the multifaceted reality of achievement in the subject. The current study investigated the value of both…

Background: Currently, the globe is at the crossroads of a polycrisis where multiple shocks and interdependencies play out in an ever-evolving integrated world. Young children and their families bear the brunt of these realities through stresses that have a negative impact on them. In seeking better worlds in early childhood care and education…

Self-Regulated Strategy Development (SRSD) is a method designed to explicitly teach students self-regulation skills and help them implement them. While SRSD's beneficial effect on writing quality has been confirmed in a large body of literature, the questions of why, how, and for whom SRSD works remain unclear. To investigate the underlying…

With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…

An increasing number of students in the United States identify as Hispanic or Latino/a. These students enter American classrooms from varying backgrounds with diverse talents. Many of these students are proficient in at least two languages. Unfortunately, Hispanic students are underrepresented in gifted and talented programs, nationwide. The…