Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…

Learning analytics dashboards (LADs) provide educators and students with a comprehensive snapshot of the learning domain. Visualizations showcasing student learning behavioral patterns can help students gain greater self-awareness of their learning progression, and at the same time assist educators in identifying those students who may be facing…

While the importance of reading development for understanding Chinese literacy acquisition and impairment is well documented, what underlies Chinese spelling development is not well understood. Although some spelling development theories have been proposed and have provided rich and detailed descriptions of the processes and skills involved in…

The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…

Background: Rates of mental health conditions are high among adults with learning disabilities relative to the general population, however research suggests mental health conditions may be missed or under-identified in this population group. This review considers factors associated with the identification of mental health conditions among adults…

Technology-enhanced peer feedback (TEPF) activity has been increasingly investigated in L2 writing education. Researchers have conducted many review and meta-analysis studies on related research and identified factors influencing the activity effectiveness. However, few reviews have been conducted based on the activity theory that may clarify…

Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to program. Despite producing notable research by the community in the specified area, rare work is observed to synthesize these research efforts and discover the dimensions that guide the future research of…

Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is…

This research aimed to identify patterns, intellectual structure, contributions, social interactions, gaps, and future research directions in the field of academic integrity (AI). A bibliometric analysis was conducted with 1406 publications covering the period 1966-2023. The results indicate that there has been significant growth in AI literature…

The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which…

This study was undertaken to systematically analyze instructional interventions employed to enhance the mathematical performance of elementary school students with math learning difficulties (MLD). Over 20 years (2003-2023), 34 articles that met the inclusion criteria were included in the analysis. The articles in the study were analyzed in terms…

Since the learning disability (LD) population comprises the largest group receiving special education services, there is a need for research to examine the self-concept of this population at a global level. This systematic literature review synthesized 20 years of quantitative research (k = 16) about the self-concept of students with LD. The…

English learner (EL) education is widely conceived as services for immigrant-origin students, however nearly one in ten American Indian, Alaska Native, and Native Hawaiian students are classified in school as EL. Title III of the Every Student Succeeds Act (2015) defines EL eligibility differently for Indigenous, compared to non-Indigenous,…

A meta-analysis is a statistical method for combining the results of primary studies on the same topic. Meta-analyses play a significant role in scientific research particularly in the field of gifted education in which the study results rely on small samples, imprecise measurements, and heterogeneity. This overview provides a thematic analysis…

This article explores the tensions between medical and pedagogical professionals involved with the classification and selection of pupils for the special day-schools for "feebleminded" children that were established from 1900 in the Netherlands to promote compulsory mass schooling's efficiency. These are set against the increasing…