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…

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…

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…

The article describes practical suggestions for measurement researchers and psychometricians to respond to calls for social responsibility in assessment. The underlying assumption is that personalizing large-scale assessment improves the chances that assessment and the use of test scores will contribute to equity in education. This article…

This article describes the Four-N-Framework for responding to readers through focused and intentional individualized dynamic formative feedback. Making ongoing informed data-driven instructional decisions and effective actionable feedback supports students' reading growth and fosters lifelong readers. This easy-to-implement process can support…

Learning path recommender systems are emerging. Given the popularity of ontology/knowledge-based systems in adaptive learning, this work reviews learning path in ontology-based recommender systems. The review covers recommendation trends, ontology use, recommendation process, recommendation technique, contributing factors, and recommender…

Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…