This article explores secondary English as a foreign language (EFL) teachers' differentiation practices in the Netherlands. We used the five-dimensional (5D) model of differentiation) as an analytical framework in the study. Additionally, we sought to identify the main challenges of differentiation in Dutch EFL teaching. We collected the data…

This study presents a scientometric analysis of personalized learning research from 2020 to 2024. Using the Lens database, 4,463 scholarly articles were analyzed to identify key trends and patterns in this rapidly evolving field. The analysis revealed consistent publication growth over the 5 years, with journal articles dominating as the primary…

Differentiated Instruction (DI) is a hot topic in educational research. Keeping abreast of its latest developments and frontiers can provide new perspectives for future study. Using CiteSpace software, 1086 publications included in the Web of Science core collection from 2000 to 2020 were analysed to create knowledge maps of DI research. The…

Personalized gamification aims to address shortcomings of the one-size-fits-all (OSFA) approach in improving students' motivations throughout the learning process. However, studies still focus on personalizing to a single user dimension, ignoring multiple individual and contextual factors that affect user motivation. Unlike prior research, we…

This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…

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…

Self-regulated learning (SRL) is an important aspect of successful knowledge acquisition. Adaptive learning technology (ALT) is a form of educational technology that can improve SRL by offering learners personalized and timely support. Despite the potential of ALT to support SRL, its integration into schools' pedagogical practices remains a…

Genetic research has a potentially increasing impact on educational practices. This study investigated attitudes towards the utility of genetic and environmental research in personalising education, with comparisons between parents/non-parents and educators/non-educators, as well as how these attitudes may relate to heritability ratings of…

Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…

This systematic literature review examines research on inclusive policies and practices in higher education institutions published between 2001 and 2021. Six electronic databases (ERIC, Emerald, Web of Science, Wiley Online, Taylor & Francis Online, and Sage journal) were searched. Forty-three articles met the inclusion criteria and were…

The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…

The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…

This Perspective article expands on a working memory-dependent dual-process model, originally proposed by Zheng et al., to elucidate individual differences in the testing effect. This model posits that the testing effect comprises two processes: retrieval-attempt and post-retrieval re-encoding. We substantiate this model with empirical evidence…

In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…

This study presents a panoramic overview of research conducted between 2010 and 2020 on how the Personal Learning Environment (PLE) supports Self-Regulated Learning (SRL). We elaborate on why the PLE is suitable for SRL, discuss its research themes, explain how the PLE supports SRL and outline the available PLE platforms. The review method we used…