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…

This study explores the impact of Knowledge Management (KM) factors--knowledge acquisition (KAC), knowledge storage (KST), knowledge sharing (KSH), and knowledge application (KAP)--on the acceptance of Engineering Language Massive Open Online Courses (E-LMOOCs) by English as a foreign language (EFL) learners majoring in engineering sciences at…

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…

Ethical reviews of research plans function as a cornerstone of good research practice in order that no harm should come to participants. Ethical concerns have taken on a new salience in a digital world where data can be generated at scale. Big data research has grown rapidly, raising increased ethical concerns. Several intersecting areas of big…

Contribution: This work studies how to integrate massive open online courses (MOOCs) into traditional, face-to-face, Undergraduate Engineering Courses. Background: MOOCs emerged as an innovative trend in online learning with distinctive and attractive features, such as ease of access and cost effectiveness for large audiences. For this reason,…

In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…

This study aims to understand the perception of university teachers on MOOCs and explore the critical drives that impact teachers to work with MOOCs based on an incorporated model of theory of planned behaviour (TPB) and Playbour (PL). Besides, this study also adopts Hofstede's Cultural Dimensions Theory to include the culture as a moderator to…

The quality assurance of MOOCs focuses on improving their pedagogical quality. However, the tools that allow reflection on and assistance regarding the pedagogical aspects of MOOCs are limited. The pedagogical classification of MOOCs is a difficult task, given the variability of MOOCs' content, structure, and designs. Pedagogical researchers have…