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…

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…

Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on…

The integration of technology in higher education is constantly evolving, and the recent emergence of generative artificial intelligence (AI), particularly AI-based chatbots, presents both opportunities and challenges. This rapid advancement raises crucial questions about the effective and appropriate implementation of these tools in learning and…

Educational recommender systems offer benefits for workplace learning by tailoring the selection of learning activities to the individual's learning goals. However, existing systems focus on the learner as the primary stakeholder of learning processes and do not consider the organization's perspective. We conducted a systematic review to develop a…

Purpose: The study aims to reflect on past research, uncover current trends and propose a future research agenda in the field of artificial intelligence (AI) for competency-based personalised learning. Design/methodology/approach: The study followed the SPAR-4-SLR protocol to retrieve 855 articles related to the field indexed in the Scopus…

Mastering mathematics is often challenging for many students; however, the rise of artificial intelligence (AI) offers numerous advantages, including enhanced data analysis, automated feedback, and the potential for creating more interactive and engaging learning environments. Despite these benefits, there is a need for comprehensive reviews that…

Differentiated instruction (DI) is a beneficial approach to addressing students' diverse learning needs, abilities, and interests to ensure that each student has the opportunity to make academic progress. To answer the question of how teachers utilize DI in K-12 classrooms, this systematic review was based on 61 empirical studies on DI published…

This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…

Almost 15 years after the start of the debate over Personal Learning Environments (PLE), the concept would still appear to be influential and even intrinsic to discussion over the future of educational technology and education in general. This paper aims to establish a clear thematic link between the concept of PLEs and educational academic…

As a learner-centered approach, technology-facilitated personalized learning has received increasing attention in the field of education. However, it is not clear whether technology-facilitated personalized learning is effective for both learning achievements and learning perceptions. This study aims to close the research gaps and examine the…

The article begins with a discussion on the importance, subjectivity, and longstanding search for a definition for Quality Education (QE). It conceptualizes QE in terms of "resilience" and "responsibility towards other". It reviews the theoretical landscape and philosophical contributions of philosophers and learning theories…

Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…

Digital technology offers the potential to address educational challenges in resource-poor settings. This meta-analysis examines the impact of students' use of technology that personalises and adapts to learning level in low- and middle-income countries. Following a systematic search for research between 2007 and 2020, 16 randomised controlled…

We conducted a qualitative review of the research literature on STEM (science, technology, engineering, mathematics) related to high school students with disabilities (SWD). We selected and analyzed 53 articles to answer two questions: (1) How are high-school SWD prepared for careers in STEM? (2) How are educators prepared to support high-school…