Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…

Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…

In this paper, I introduce a new term to the online learning lexicon, "mesocredentials," an emerging and transformative approach to integrating massive open online courses (MOOCs) within the higher education system. A mesocredential connects MOOC achievement with academic credit applied to a traditional academic degree. I distinguish…

Background: Given students' lack of self-directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs. However, there is still limited research to…

Massive Open Online Courses (MOOCs) have become hugely popular recently. MOOCs can offer high-quality education for anyone interested and equalize the whole education field. Still, there are different methodologies for running MOOCs. Coming up with the most suitable methodology benefits both students and teachers. In this study, we have limited…

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…

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 COVID-19 pandemic has notably increased the use of distance education, particularly in Türkiye's higher education English courses. Even after the normalisation process, compulsory English courses in Türkiye, the learners of which receive education in English for general purposes, are still being taught via distance education. Such a practice…

Massive Open Online Courses (MOOCs) now offer a variety of options for everyone to obtain a high-quality education. The purpose of this study is to better understand the behaviours of MOOC learners and provide some insights for taking actions that benefit larger learner groups. Accordingly, 2,288,559 learners' behaviours on 174 MITx courses were…

Since the outbreak of the pandemic in 2019, pandemic prevention and control has gradually become normal, and internet-based massive open online courses (MOOCs) have become widely available. Aiming to give an insight into learner engagement, motivation, and learning performance in MOOCs in the post-pandemic time, this study reviewed 52 articles…

This study aimed to understand the relationship between course activities and learning progress among students enrolled in the MicroMasters certificate program offered in an affordable MOOC-based learning platform. In order to capture the relationship, the differences between the engagement patterns of learners in the MicroMasters program compared…

The ultimate goals of education and training are the development of learners' learning outcomes. The prospect of achieving high academic results should function as a driving force for students to be engaged in learning. Recognition of the factors affecting their learning satisfaction should facilitate their learning process, especially in online…

Massive Open Online Courses (MOOCs) make high-quality learning accessible to students from all over the world. On the other hand, they are known to exhibit low student performance and high dropout rates. Early prediction of student performance in MOOCs can help teachers intervene in time in order to improve learners' future performance. This is…

One of the main problems of Massive Open Online Courses (MOOCs) is the low retention rate of students and a high no-show rate. Meanwhile gamification has been gaining notoriety in the last decade within the education field. This systematic literature review explores the impact gamification has had in MOOCs, how their success is being measured,…

Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…