Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

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…

Political discord, social tensions, and global conflicts compel teachers to guide students in exploring diverse perspectives and engaging in constructive, respectful dialogues. Furthermore, the rapid evolution of technology, particularly artificial intelligence (AI), necessitates teachers and school leaders to consider entirely new paradigms in…

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…

Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…

Co-teaching and related collaborative models of instruction are widely used in primary and secondary schools in many school systems. This systematic review and meta-analysis investigated the effects of such models on students' academic achievement and how these effects are moderated by factors of theoretical and practical relevance. Although…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

This paper develops models to measure growth in student achievement with a focus on the possibility of differential growth in achievement for low and high-achieving students. We consider a gap-closing model that evaluates the degree to which students in a target group -- students in the bottom quartile of measured achievement -- perform better…

The study explores the effectiveness of multimodality teaching using the 4MAT Model. A meta-analysis was conducted with empirical studies on instruction via multimodality teaching in preschool, K-12, and higher education. The studies in the meta-analysis involved an experimental and control group. The control group received traditional teaching…

With the advancements in information and communications technologies, new teaching approaches arise. In this context, project-based learning (PBL) and science, technology, engineering, the arts, and mathematics model (STEAM) emerge as the most popular in the education field, attributed to their efficacy on students' learning capacity. This article…

This paper presents a theoretical exploration of the relationship between imagination, cognition and metacognition, conceptualised within "emergent models." These models are offered to enable dialogue and tools to understand and support imagination in education practice, through the presence of ever-transforming theory, conceived as…

This study was carried out to determine the effectiveness of the Flipped Classroom Model (FCM) in an educational setting. For this purpose, a multi-complementary approach (MCA) was used including both quantitative (meta-analysis) and qualitative (thematic). MCA consists of three parts, the first of which is the pre-complementary information stage.…

Academic burnout seriously affects the academic performance and mental health of college students. This study developed a multi-mediation model to investigate the relationship between academic self-efficacy and academic burnout. A total of 1431 undergraduate students (51.85% female) were recruited to participate in this study. And we used SPSS…

Low performing schools remain an issue within Louisiana. The problem addressed by this study was low student performance in underperforming schools due to lack of understanding in pedagogy by teachers. The use of master teachers as instructional coaches is one way this school district sought to improve student achievement. The purpose of this…

Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…