High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

This study investigates the level of readiness for massive open online courses (MOOCs) of students in Oman. It compares the readiness of ordinary students in the Omani higher education institutions (HEIs) and those outside HEIs who took a MOOC from the larger Omani society and tests for the differences between their levels of readiness.…

Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…

This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…

This qualitative phenomenological study investigates international instructors' perspectives and experiences in designing a successful language-based massive open online course (L-MOOC). Detailed information was gathered during Summer 2018 about the instructor's challenges and strategies through semi-structured interviews with seven participants…

Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to test whether network externality, gamification and media richness as environmental feature antecedents to learners' learning engagement (LE) can affect their continuance intention of massive open online courses (MOOCs).…

Purpose: OpenWHO is the World Health Organization's online learning platform that was launched in 2017. The COVID-19 pandemic led to massive growth in the number of courses, enrolments and reach of the platform. The platform is built on a stable and scalable basis that can host a large volume of learners. The authors aim to identify key factors…

While Massive Online Open Courses (MOOCs) have seen a surge in enrollments in higher education around the world especially during the COVID-19 pandemic, it is unclear if learners from the economically disadvantaged regions (EDR) are also able to capitalize on them. Specifically, challenges related to using MOOCs in these regions have been reported…

This study attempted to assess public perceptions of and interest in MOOCs by examining how Weibo increases public discussion of MOOCs as well as by interpreting how individual learners talk about their learning experiences. Over 4,000 microblog posts were collected and analysed between 2013 and 2018. The findings showed that Weibo is used as a…

Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…

Learners in connectivist learning are diverse. It's necessary to make a clear understanding of learners' participation types and characteristics for optimizing the learning support service and learning evaluation in connectivist learning. This study aims to describe different types of learners in connectivist learning from two dimensions of social…

This paper explores the development and evaluation of a MOOCs-based virtual physics measurement laboratory module designed to overcome common barriers in physics education, such as limited physical lab access, high costs, and safety concerns. Utilizing the Borg and Gall Research and Development model, this module integrates structured layouts,…

This reflection on practice presents an exemplar of an integrated distributed leadership and reciprocal peer review of an academic development initiative. Distributed leadership, characterised by collaborative responsibility, is flexible and adaptive and -- when integrated with reciprocal peer review of teaching -- fosters quality learning…

This study examines the potential of inclusive design in Massive Open Online Courses (MOOCs) to address the impact of stereotype threat, a significant barrier encountered by underrepresented groups, particularly in STEM education. As online learning opportunities grow, the demographic composition of course participants frequently does not reflect…

By the end of 2020, over 16,300 Massive Open Online Courses (MOOCs) from 950 universities worldwide had enrolled over 180 million students. Interest in MOOCs has been matched by significant research on the topic, including a considerable number of reviews. This study uses Machine Learning techniques and human expert supervision to generate a…