Purpose: The study is aimed at analyzing the perceptions of students and teachers regarding the effectiveness of massive open online courses (MOOCs) on learning efficiency of students and also evaluating MOOCs as an ideal tool for designing a blended model for education. Design/methodology/approach: The analysis was carried out by using the data…

Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In this study, qualitatively coding discussion forums was combined with topic modeling to identify…

This study investigates the impact of psychological stimuli on students' continuance intention to use massive open online courses (MOOCs), through the mediation effects of emotions under a stimulus-organism-response framework. Perceived competition, perceived risk, and curiosity are the psychological stimuli. Four emotions (happiness, interest,…

Ensuring accessibility in Massive Open Online Courses (MOOCs) is essential to enable learners with accessibility needs to fully engage in and derive benefits from online learning experiences. Prioritising accessibility in MOOCs not only adheres to principles of social inclusion but also amplifies the overall effectiveness of online education,…

Online teacher professional development (oTPD) provision has seen a rapid increase in recent years, with significant growth during the COVID-19 pandemic. However, concerns persist around equitable access, course retention and completion, the relevance of materials for varied contexts, and the level of engagement that is realistically possible.…

Despite the growing importance of MOOCs and their application in face-to-face classes since 2020, driven by the COVID-19 pandemic, existing literature offers limited research on the factors affecting the quality of hybrid MOOC (hMOOC) learning, particularly from a psychological perspective. Thus, based on the 3P model of teaching and learning,…

The study examines massive open online course (MOOC) students' engagement and learning challenges while comparing two groups: xMOOC, a structured course based on individual learning, and cMOOC, an interactive course based on collaborative learning. Applying a mixed-methods research design, data were collected via an online survey and…

Purpose: The purpose of the study is to identify drivers of mobile massive open online course (MOOC) continuous intention (CI) through the lenses of customer perceived value (CPV) theory. Consumer choice is successfully explained by CPV, but lesser attention is given to linking the theory to the mobile MOOC context whereby the majority of theories…

Gamification has the potential to enhance learner motivation and increase participation, thereby improving MOOC's retention rates. However, challenges exist in finding the balance between learning and gamification elements and ensuring effective implementation, as well as the limited availability of established gamification frameworks tailored for…

This study reviews 71 high-quality studies of massive open online courses focused on languages (LMOOCs) that were published from the inception of LMOOCs to 2021. The purpose of this study is to gain a deeper understanding of the current state of research and identify fruitful directions for future LMOOC research. First, we reviewed three basic…

The systematic review in this study focuses on questionnaire-based quantitative and qualitative studies that focus on the role of massive open online courses (MOOCs) in teacher professional development, with a concentration on the COVID-19 lockdown period. Sixteen studies were selected to be included in this systematic review based on the…

The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…

To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…

Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to examine whether media richness (MR), human-system interaction (HSI) and human-human interaction (HHI) as technological feature antecedents to medical professionals' learning engagement (LE) can affect their learning…

The content analysis included video lectures posted in 208 MOOCs on the Polish educational platform NAVOICA. The aim was to determine their subject matter and the methods of preparing video lectures. It turned out that video lectures were included in 57% of MOOCs, most often related to "Medical and health sciences" and…