Teacher professional development (TPD) programs face several challenges in fostering active participation and ensuring high-quality learning experiences compared to traditional approaches. While online TPD programs offer flexibility, concerns remain about their effectiveness in promoting high-quality content and autonomous learning. This study…

This paper presents a comprehensive analysis of the major themes in Natural Language Processing (NLP) applications for personalized learning, derived from a Latent Dirichlet Allocation (LDA) examination of top educational technology journals from 2014 to 2023. Our methodology involved collecting a corpus of relevant journal articles, applying LDA…

Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…

Blended massive open online courses (bMOOCs) have emerged as a potential educational model that combines conventional in-person instruction with online learning. The investigation into students' level of interaction in bMOOCs is significant to the effective implementation of bMOOCs in higher education. This study investigates the perceived level…

In the rapidly evolving landscape of online education, understanding what drives student satisfaction is crucial for designing effective learning experiences. The study examines the factors influencing English as a foreign language (EFL) students' satisfaction with online cooperative learning (CL) in massive open online courses (MOOCs). Employing…

Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…

Massive open on-line courses (MOOCs) are effective and flexible resources to educate, train, and empower populations. Peer assessment (PA) provides a powerful pedagogical strategy to support educational activities and foster learners' success, also where a huge number of learners is involved. Item response theory (IRT) can model students'…

Learning analytics (LA) is a growing research trend and has recently been used in research and practices in massive open online courses (MOOCs). This systematic review of 166 articles from 2011-2021 synthesizes the trends and critical issues of LA in MOOCs. The eight-step process proposed by Okoli and Schabram was used to guide this systematic…

This design research aims to propose a HyFlex strategy for students and participants in the workplace using massive open online course (MOOC) flipped between the two settings, an active in-classroom to an action learning in the workplace. The research methods were designed into two major parts, where the first part was a design stage which…

Massive Open Online Courses (MOOCs) are a form of distance education courses. They have been celebrated as revolutionizing the way learners access education and the way colleges and universities could expand education on a global scale beyond their traditional campuses. The purpose of this study is to identify the pedagogical strategies used for…

Connectivism is the thesis that knowledge is constituted of the sets of connections between entities, such that a change in one entity may result in a change in the other entity, and that learning is the growth, development, modification or strengthening of those connections. This paper presents an overview of connectivism, offering a connectivist…

Digital certificates in massive open online course (MOOC) learning experiences provide alternative credentials linked to lifelong learning. The Bi-National Laboratory on Smart Sustainable Energy Management and Technology Training provided the context for this research. This project was undertaken by Mexican and United States universities,…

This article reports on the development and evaluation of a massive open online course (MOOC) that provides instruction on best practices in research data management (RDM). The course was developed in response to the growing need for data management professional development for LIS professionals and to promote data management to researchers. In…

Background/purpose: The training of teachers to use digital social networks implies a change in the cultural paradigm and new alternatives for the development of their digital skills. This research analyzes the effectiveness of a workshop-structured massive online open course (MOOC) to develop the teaching of digital skills associated with using…

This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…