This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

Self-regulated learning (SRL) and executive functions (EF) are broad concepts stemming from different research areas. They have been defined and modeled in various ways and are repeatedly related to each other in the literature, but so far, no systematic analyses of these relations have been published. Therefore, a systematic analysis of their…

When administering an in-class exam, a common decision that confronts every instructor is whether the exam format should be closed book or open book. The present review synthesizes research examining the effect of administering closed-book or open-book assessments on long-term learning. Although the overall effect of assessment format on learning…

Artificial intelligence (AI), as an emerging technology, has been widely used in STEM education to promote the educational assessment. Although AI-driven educational assessment has the potential to assess students' learning automatically and reduce the workload of instructors, there is still a lack of review works to holistically examine the field…

Even though context, content, and task factors are considered essential parts of digitally delivered instructional feedback, their effects on learning performance are most often studied separately. A meta-analysis was carried out to address the effects of context, content, and task factors of digitally delivered instructional feedback on learning…

Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…

Writing and mathematics are essential in academic achievement. In the present study, we investigated whether writing skills and mathematics skills are related and if so, whether their relation is moderated by participants' grade level (a proxy for developmental phase), subskills of mathematics and writing skills, and assessment characteristics…

Approximately five million students in US public schools have a home language other than English and are actively learning English (National Center for Education Statistics, 2020), indicating that a large number of students could be considered emergent bilingual (EB). Although measuring student skills in English may be informative, it does not…

The article highlights the growing significance of flexible assessment in higher education as institutions adapt to the increasingly diverse needs of their student populations. The demand for customizable educational experiences, heightened by the COVID-19 pandemic, has made flexibility in assessment essential for sustaining and improving student…

This study aims to review the STEM education intervention on the undergraduate level by applying CiteSpace software, an innovative tool for bibliometric analysis and visualization. The Web of Science (WOS) database was used and covers the period from January 2008 to August 2023. Based on keyword search, seven clusters with the largest research…

Students' academic achievement is a central predictor of a long list of important educational outcomes, such as access to higher education and socioeconomic success. Prior studies have extensively focused on identifying variables that are related to academic achievement and an important variable in this context appears to be students' personality.…

Creative thinking is essential for career success in the information age. According to the World Economic Forum, creative thinking ranks as the fastest growing and second-most important skill among employers. Creative thinking also ranks above artificial intelligence (AI) and big data in terms of companies' skills-training priorities for workers.…

Higher education student selection has significant societal, institutional and individual impacts. Thousands of applicants apply only for nursing, one of the major higher education disciplines. As the nursing profession is characterised by cognitive requirements, higher education institutions assess the learning skills of nursing applicants.…

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

The after-school program is a crucial initiative for implementing the Double Reduction policy; however, prior research has not provided conclusive evidence on whether extended school hours contribute to students' cognitive and non-cognitive development or on which types of after-school services are more beneficial for student development. This…