The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…

The learning management system (LMS) is widely used in educational settings to support teaching and learning practices. The usage log data, generated by both learners and instructors, enables the development and implementation of learning analytics (LA) interventions aimed at facilitating teaching and learning activities. To examine the current…

A massive open online course (MOOC) is a powerful tool for expanding educational opportunities, but one of the major challenges facing MOOCs is the high dropout rate. Low completion rates indicate issues with student engagement and motivation. Gamification, the incorporation of game elements in non-game contexts, has shown promise in increasing…

It may seem that learning platforms and systems are a tired topic for the academic community; however, with the recent advancements in artificial intelligence, they have become relevant to both current and future educational discourse. This systematic literature review explored platforms and software supporting personalized learning processes in…

Despite a surge of empirical work on paid Massive Open Online Courses (MOOCs), a review of factors that drive the sales of them remains unexplored. The study aims to consolidate the existing fragmented knowledge by synthesizing the current literature on quality attributes, methodological approaches, theoretical foundations, and additional research…

Many college students struggle to adopt effective study strategies. Although many academic support centers disseminate resources on study strategies and help students to strengthen these skills, students do not fully utilize the resources or support. This study explored using an online asynchronous discussion (OAD) board as a space to embed five…

Multimedia has been a strategy in teaching processes, especially within the learning management system (LMS). However, multimedia tools have not delivered satisfaction towards the learning process. In addition, the lack of engagement within the LMS has been a real problem for e-learning. Therefore, this study aims to identify what the challenges…

Although the successful implementation of the Learning Management System (LMS) in most of the universities in the Arab Gulf Countries (AGC), little consideration has been paid to exploring LMS usage. This paper provides a systematic review of the current literature focusing on the most critical factors influencing LMS usage in AGC. The extant…

Opportunities and concerns regarding the use of Massive Open Online Courses (MOOCs) in higher education have evolved along with them. A concern is how their use could support the higher-order learning appropriate for higher education. Grounded in the conversational framework, this case study explored how reflective practice could be fostered in a…

Integrating artificial intelligence (AI) technologies into various educational domains has garnered significant attention. Among these technologies, ChatGPT stands out as a powerful tool that holds the potential to revolutionize the landscape of mathematics education. This study aims to explore the emerging trends and critical issues surrounding…

This article analyses the introduction of a mandatory learning management system (LMS) in Danish primary and lower secondary education. By thinking with Bourdieu's concepts of field, capital and habitus, the study analyses key policy texts to identify the embedded logics that structure the field of education, reflecting relationships of domination…

Although higher education institutions offer self-paced massive open online courses (MOOCs) on platforms like edX, little systematic effort has been made to examine their instructional design features. The purpose of this study was, therefore, to review self-paced MOOCs on edX and examine their instructional design features for those interested in…

The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…

This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…

Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…