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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
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
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
Ullah, Muhammad Shariat; Khandakar, Md. Shariful Alam; Aziz, Muhammad Abdul; Kee, Daisy Mui Hung – International Review of Research in Open and Distributed Learning, 2022
This cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online self-administered questionnaire. Partial least…
Descriptors: Technology Uses in Education, Electronic Learning, Online Courses, Undergraduate Students
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
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
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
Seyfullah Gökoglu; Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – International Review of Research in Open and Distributed Learning, 2024
This study explored the complex dynamics of student engagement, community of inquiry, and transactional distance in online learning environments. The study analyzed 1,281 participants' responses to identify the factors contributing to online learning outcomes. The research highlighted the crucial role that transactional distance and community of…
Descriptors: Learner Engagement, Inquiry, Online Courses, Electronic Learning
Hong Duan; Wei Zhao – International Review of Research in Open and Distributed Learning, 2024
The transformative impact of advancements in educational technology, particularly those powered by artificial intelligence (AI), on the landscape of education and the teaching profession has been substantial. This study explores the repercussions of AI-powered technologies on teachers' autonomous behavior, digital burnout, and professional…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Professional Autonomy
Lu, Mingxiao; Cui, Tianyi; Huang, Zhenyu; Zhao, Hong; Li, Tao; Wang, Kai – International Review of Research in Open and Distributed Learning, 2021
Massive open online courses (MOOCs) have attracted much interest from educational researchers and practitioners around the world. There has been an increase in empirical studies about MOOCs in recent years, most of which used questionnaire surveys and quantitative methods to collect and analyze data. This study explored the research topics and…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Qualitative Research
Jaewon Jung; Seohyun Choi; Mik Fanguy – International Review of Research in Open and Distributed Learning, 2024
The present study analysed digital literacy issues encountered by elementary school teachers in remote classrooms due to COVID-19. The study sought to derive a plan for cultivating teachers' digital literacy to support students' distance education. To this end, focus group interviews were conducted with five elementary school teachers in charge of…
Descriptors: Technological Literacy, Elementary School Teachers, Distance Education, COVID-19
Zawacki-Richter, Olaf; Bozkurt, Aras; Alturki, Uthman; Aldraiweesh, Ahmed – International Review of Research in Open and Distributed Learning, 2018
Since the first offering of a Massive Open Online Course (MOOC) in 2008, the body of literature on this new phenomenon of open learning has grown tremendously. In this regard, this article intends to identify and map patterns in research on MOOCs by reviewing 362 empirical articles published in peer-reviewed journals from 2008 to 2015. For the…
Descriptors: Online Courses, Educational Technology, Large Group Instruction, Technology Uses in Education
Milligan, Colin; Littlejohn, Allison – International Review of Research in Open and Distributed Learning, 2017
Massive Open Online Courses have emerged as a popular mechanism for independent learners to acquire new knowledge and skills; however, the challenge of learning online without dedicated tutor support requires learners to self-motivate. This study explores the primary motivations reported by participants in two MOOCs: "Fundamentals of Clinical…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education