Massive Open Online Courses have become a frequent platform for learners to acquire knowledge. This study aims to explore multiple factors influencing learner retention in MOOCs during the COVID-19 pandemic. To address this, we collected quantitative and qualitative data from questionnaires and qualitative data from interviews and then analyzed…

Massive Open Online Courses (MOOCs) are a valuable open educational resource for people around the world. Although they have been published for over a decade, there has not been a consistent means by which to evaluate their quality or establish whether they are meeting the needs of learners. This action research study sought to understand…

This study aimed to investigate university students' overall perception of MOOCs based on the instructional design elements of MOOCs. Due to the increase in enrollment in MOOCs, it is essential to understand students' general perception of them. Additionally, only a few studies have been conducted on MOOCs in developing countries. Given the latest…

As part of the design, development, and deployment of a massive open online course (MOOC) on model-based systems engineering, we introduced MORTIF--Modeling with Real-Time Informative Feedback, a new learning-by-doing feature that enables the learner to model, receive detailed feedback, and resubmit improved solutions. We examined the pedagogical…

Due to its outstanding advantages of openness, unrestraint and low cost, MOOCs have been growing rapidly in recent years. However, this new self-directed online learning model faces the challenge of the low course completion rate. Based on self-determination theory, this paper combines learners' intrinsic motivation and extrinsic motivation, and…

Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…

Online learning has captured much attention, while given for high dropout rate, continuance of MOOCs is now a most concerned critical topic in both research and practical field. From teaching-based quality and platform-based quality perspectives, this study aims to investigate the impact of quality elements on continuance intention based on…

Purpose: The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC) personalized recommendation method to help learners efficiently obtain MOOC resources. Design/methodology/approach: This study introduced ontology construction technology and a new semantic association algorithm…

Scoping studies are a methodological approach that reviews the existing body of literature on a selected field of study. This case study draws on a recent piece of research (Yuan & Wu, 2021) that borrows this methodological framework to analyze and evaluate Massive Open Online Courses (MOOCs) offered by Chinese universities with the goal of…

Education policies across sub-Saharan Africa require teachers to change from being transmitters of knowledge to facilitators of learning. This means that teacher education needs to change as well and professional development which focuses on practical teaching is urgently needed. The Teacher Education for sub-Saharan Africa (TESSA) MOOC --…

Massive Open Online Courses (MOOCs) have the potential to positively disrupt higher education in South Africa, but at present, only a few institutions in South Africa offer MOOCs. The aim of the study is to investigate why South African citizens would enrol in MOOCs to further their education. The purpose of the study is to understand the various…

The enduring challenges faced by MOOCs have consistently revolved around the low completion and high dropout rates. To explore the factors that affect the continuance intention of MOOCs, this study constructed a new theoretical model to analyze how the social and technical factors influenced the intention to continue using MOOCs through attachment…

The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…

The field of online professional development is in ongoing growth, and motivation has been identified as a critical factor in online courses. Somewhat different from the common courses delivered through MOOCs, this study investigates learning processes in compulsory courses. The study aims to understand the motivational factors influential on the…

AI's opportunities and potential high-risk consequences for individuals and societies render mass AI literacy imperative. MOOCs are one effective conduit for its provision. However, MOOCs remain epistemologically one-sided when lifelong learning steadily shifts towards a reflexive epistemology whereby subjectivities and expert knowledge intersect,…