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Amir Narimani; Elena Barberà – International Review of Research in Open and Distributed Learning, 2024
As education has evolved towards online learning, the availability of learning materials has expanded and consequently, learners' behavior in choosing resources has changed. The need to offer personalized learning experiences and content has never been greater. Research has explored methods to personalize learning paths and match learning…
Descriptors: Electronic Learning, Online Courses, Artificial Intelligence, Course Selection (Students)
Xieling Chen; Di Zou; Haoran Xie; Gary Cheng; Zongxi Li; Fu Lee Wang – International Review of Research in Open and Distributed Learning, 2025
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…
Descriptors: MOOCs, Distance Education, Online Courses, Course Evaluation
Kai Wang; Josep Rialp Criado; Stefan Felix Van Hemmen – International Review of Research in Open and Distributed Learning, 2024
This study involved 51 Chinese universities from the Quacquarelli Symonds (QS) World University Ranking 2021. With based the resource-based view (RBV) as a framework, it aimed to identify the determinants of human resource capital that were related to universities' production of MOOCs. Three determinants were detected--size, lifelong learning, and…
Descriptors: MOOCs, Foreign Countries, Human Capital, Colleges
Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Chien-Liang Lin; Jun-Yan Liu; Chi-Heng Li; Yu-Sheng Su; Juan Zhou – International Review of Research in Open and Distributed Learning, 2025
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
Sinem Cilligol Karabey; Selcuk Karaman – International Review of Research in Open and Distributed Learning, 2024
This study aimed to systematically compile the activities and applications to be used by instructors to conduct synchronous virtual classrooms effectively. Using specific keywords in various databases we examined the literature to discover the activities and applications associated with effective synchronous virtual classrooms. A total of 70…
Descriptors: Synchronous Communication, Electronic Learning, Teaching Methods, Instructional Design
Daniela Castellanos-Reyes; Sandra Liliana Camargo Salamanca; David Wiley – International Review of Research in Open and Distributed Learning, 2024
Open educational resources (OER) have been praised for revolutionizing education. However, practitioners and instructors battle keeping OER updated and measuring their impact on students' performance. Few studies have analyzed the improvement of OER over time in relation to achievement. This longitudinal study uses learning analytics through the…
Descriptors: Open Educational Resources, Educational Improvement, Academic Achievement, Introductory Courses
Ali Rashed Ibraheam Almohesh – International Review of Research in Open and Distributed Learning, 2024
In education, the integration of artificial intelligence (AI) has presented opportunities to transform the dynamics of online learning. This study investigated the impact of an AI-powered application, namely ChatGPT, on the autonomy of Saudi Arabian primary students participating in online classes. It also explored how the implementation of Chat…
Descriptors: Artificial Intelligence, Natural Language Processing, Foreign Countries, Elementary Schools
Irem Nur Akkan; Seval Eminoglu Kucuktepe – International Review of Research in Open and Distributed Learning, 2024
During the COVID-19 pandemic, many things changed in people's educational lives as individuals transitioned to remote learning. While technologically advanced countries swiftly adapted to the new normal, less developed countries encountered substantial obstacles. This study aimed to compare distance education practices during the lockdown in four…
Descriptors: Distance Education, COVID-19, Pandemics, School Closing
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Varanisese Tagimaucia; Gerald Santhosh D'Souza; Satish Prakash Chand – International Review of Research in Open and Distributed Learning, 2024
Engaging with physical education teachers who were compelled to integrate technology into their lessons during the COVID-19 pandemic is crucial to understanding how the pandemic has presented this 'new normal' circumstance. It is vital to gain insight into the initial experiences of physical education (PE) teachers who transitioned to online…
Descriptors: Physical Education, Online Courses, COVID-19, Pandemics
Gökhan Akçapinar; Erkan Er; Alper Bayazit – International Review of Research in Open and Distributed Learning, 2024
Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their…
Descriptors: Learner Engagement, Video Technology, Lecture Method, Student Behavior
Anju Sanwal – International Review of Research in Open and Distributed Learning, 2024
The COVID-19 pandemic has led to the disruption of classroom activities and adoption of online teaching-learning in almost all parts of the globe, including India. The sudden switch from classroom blackboards to laptop screens may have influenced students' study approaches, especially with challenges related to technology access and readiness for…
Descriptors: COVID-19, Pandemics, Access to Computers, Educational Technology
Efrem Melián; Julio Meneses – International Review of Research in Open and Distributed Learning, 2024
Despite the increasing number of non-traditional doctoral researchers, this population's experiences remain largely understudied and their voices unheard. Through in-depth interviews with 24 part-time online doctoral candidates, we explored the perceived facilitators and barriers to academic integration and sense of belonging, as well as how…
Descriptors: Online Courses, Electronic Learning, Doctoral Students, Sense of Community
Dan Wang – International Review of Research in Open and Distributed Learning, 2024
This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…
Descriptors: Artificial Intelligence, Feedback (Response), Anxiety, Foreign Countries
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