This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…

Assessment holds the key to unlocking for the teacher a child's past (what he already knows), present (what he is learning), and future (what he still needs to learn) to inform teaching. Despite the benefits of assessment for informing teaching practice and enhancing student learning, it remains one of the most challenging and time-consuming tasks…

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…

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…

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…

This article addresses the transformative potential of generative Artificial Intelligence (AI) to optimize human potential by making education more efficient and effective. We describe a new teaching method called "Dynamic Personalized Learning." In this method, AI dynamically provides feedback and adjusts the level and pace of…

The layered curriculum maintains its importance in education as it helps students gradually develop their cognitive levels, supports their academic success, and offers a structured learning process tailored to individual learning needs. This programme contributes to the development of skills such as taking personal responsibility, critical…

Every student comes to science class with unique skills and problem-solving abilities; unfortunately, there is limited research on how to differentiate instruction so that equitable progress can be made for every learner. We used a novel pedagogical approach to differentiate for a wide range of problem-solving abilities when students were learning…

This research works on creating a hybrid Knowledge Recommendation System (KRS) for an Entrepreneurship Course using the Knowledge Graph (KG) and Clustering Technologies (CTs). The system aims at improving students' learning experience by providing relevant learning materials and even focusing on learner preferences. These results are already part…