Differentiated instruction stands as a cornerstone in modern pedagogical practices, aiming to cater to students' diverse needs and learning preferences. This systematic review delves into the vast landscape of differentiated instruction, aiming to illuminate its affordances and effectiveness across various educational settings. By synthesizing…

This scoping review investigates the roles of intelligent learning companion systems (LCS) within educational settings, as well as the presences artificial intelligence (AI) embodies within these roles, and their application in education. Employing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for…

The purpose of this paper is, through content analysis of 30 publications in the Greek and international literature in scientific texts, books, journal articles and conferences to analyze the conceptual content of pedagogical differentiation in primary education as it emerges from the descriptions and discussion of authors, researchers and…

In recent years, universities have been developing more robust competency-based classes for students in Science, Technology, Engineering, and Mathematics (STEM). Competency-based education (CBE) is based on outcomes and is student-centred, creating a better learning experience. This paper provides context for competency-based education over a…

There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…

The emergence of generative AI technologies has provoked considerable debate among educators regarding their role in education. This study is an investigation of the benefits, disadvantages, and potential strategies for integrating generative AI in educational settings by analyzing societal impacts based on a literature review. We have surveyed…

The impact of artificial intelligence (AI) in the educational field highlights its growing significance in transforming teaching and learning processes. AI has garnered attention in education, raising the need to investigate its intersection with current educational methods. The study aims to conduct a systematic literature review to understand…

Background: Personalized learning (PL), conceptualized as an education innovation that tailors learning to meet diverse student needs, has drawn increased attention from different fields of study, such as education, learning sciences, and computer science. Regardless, there is a lack of a comprehensive understanding of PL instructional designs…

Technological developments allow students to access visual information from digital devices as small as phones or as large as whiteboards. Education technology research and policy typically address the software product, yet little research has focused on optimal viewing parameters or the impact it has on student users. Students with light…

Gifted students with learning disabilities have exceptional capabilities and can perform well, but their disability may impede their academic success. Being gifted and learning disabled seems paradoxical. The most misjudged, misunderstood and ignored students and community members are gifted students with learning disabilities. Research about…

Feedback is a powerful means for promoting learning, but not all forms of feedback are equally effective. Guided by a large body of feedback research, we argue that personalized feedback provides a particularly important opportunity for enhancing motivation and achievement among middle school students. In this article, we review the extant…

This literature review focuses on achieving educational equity through catering for differences in students' instructional needs. In heterogeneous classes the need for tailored direct teacher instruction is dependent upon students' instructional needs. Realist review methodology is used to study how instructional strategies can add to catering for…

With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…

The transition to fully or partially online instruction for K-12 students necessitated by the 2020 COVID-19 pandemic highlighted the current lack of understanding of practices that support K-12 student learning in online settings in emergency situations but also, more troublingly, in K-12 online teaching and learning more generally. A systematic…

Nontraditional students, or adult learners, are the new majority in the classroom in any sector of higher education according to the National Center for Education Statistics. These students are considered nontraditional if they identify with at least one of the following criteria: be at least 25 years old, attend school part-time, work full-time,…