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Hanwei Wu; Yunsong Wang; Yongliang Wang – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…
Descriptors: College Students, Artificial Intelligence, English (Second Language), Second Language Learning
Barut Tugtekin, Esra – International Review of Research in Open and Distributed Learning, 2023
This study examined the use of Advancity Learning Management Systems (ALMS) and the Moodle Learning Management Systems (LMS) in learning settings, as well as online exams, within the framework of Transactional Distance Theory. With 146 college students (n[subscript female] = 102, n[subscript male] = 44) as voluntary participants, data was gathered…
Descriptors: Learning Management Systems, Computer Assisted Testing, Educational Technology, College Students
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
Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
Zhiqun Ouyang; Yujun Jiang; Huying Liu – International Review of Research in Open and Distributed Learning, 2024
This study, which is quasi-experimental in nature, looks into how language learners' willingness to communicate and engagement in English as a foreign language (EFL) classrooms are affected by Duolingo. The control and experimental groups comprised two complete classes with forty EFL students. To compare learner engagement and communication…
Descriptors: Artificial Intelligence, Information Technology, English (Second Language), Communication Strategies
Fatih Karatas; Erkan Yüce – International Review of Research in Open and Distributed Learning, 2024
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative inquiry, investigates the experiences and perceptions of 141 preservice teachers engaged with AI,…
Descriptors: Artificial Intelligence, Futures (of Society), Preservice Teachers, Reflection
Oluwole Caleb Falode; Ibrahim Abba Mohammed – International Review of Research in Open and Distributed Learning, 2023
Most educators' inability to provide learning contents that suit different learning styles has caused a lot of problems in terms of performance. Thus, to cater to students' preferences in terms of access to learning contents, the distance learning regulatory body in Nigeria emphasized that course materials should be developed in mixed-media…
Descriptors: Distance Education, Educational Technology, Undergraduate Students, Academic Achievement
Flavin, Michael; Bhandari, Aditi – International Review of Research in Open and Distributed Learning, 2021
This is a literature review analysing articles published on virtual learning environments (VLEs), otherwise known as learning management systems, in higher education in the years 2014-2018. The Web of Science database was used to identity relevant articles over this five-year period. The sample comprises 99 peer-reviewed, academic journal…
Descriptors: Electronic Learning, Integrated Learning Systems, Higher Education, Technology Uses in Education
Yunze He; Meiyou Ding; Min Liu; Leyang Wu; Zheyuan Liu; Haiyan Guo; Hongjin Wang – International Review of Research in Open and Distributed Learning, 2024
Sensing and Detection Technology is a core course in engineering specialties. Traditional sensor teaching methods have obvious deficiencies in cultivating students' ability. To better foster students' comprehensive qualities, this study explored a 4D1P (Four Dimensions and One Penetration) teaching mode. We independently developed an industrial…
Descriptors: Engineering Education, Engineering Technology, Teaching Methods, Student Centered Learning
Gaddis, Margaret L. – International Review of Research in Open and Distributed Learning, 2020
Scholarly research has indicated that technology adoption to facilitate blended learning promotes the academic success of many different types of students and improves the quality of existing educational offerings. To understand how technology enhances learning, surveys queried the faculty and students of a statewide community college system. The…
Descriptors: Educational Technology, Technology Uses in Education, Higher Education, Blended Learning
Espino, José Miguel Santos; Artal, Cayetano Guerra; Betancor, Sara María González – International Review of Research in Open and Distributed Learning, 2021
The learning effectiveness of video lectures has been extensively studied by the scientific community, but research on their cost-effectiveness and sustainable production is still very scarce. To shed light on these aspects, this study has measured the useful life span and cost-effectiveness of a large catalog of video lectures produced for…
Descriptors: Instructional Effectiveness, Lecture Method, Video Technology, Undergraduate Students
Goh, Chin Fei; Hii, Puong Koh; Tan, Owee Kowang; Rasli, Amran – International Review of Research in Open and Distributed Learning, 2020
University teachers are the main players when it comes to integrating e-learning systems into higher education institutions. Prior studies have identified four main antecedents that explain teachers' technology acceptance in the educational context: (a) subjective norms (SN), (b) technological complexity (TC), (c) constructivist beliefs (CB), and…
Descriptors: College Faculty, Educational Technology, Technology Integration, Technology Uses in Education
Ting Xu – International Review of Research in Open and Distributed Learning, 2025
This study aimed to identify and compare the efficiency of different theoretical (competence-oriented) and practical (system-activity) approaches to labour education of college students in China using the Open edX online learning platform. The study was conducted at the Shengda College of Economics and Business Management. It involved 150…
Descriptors: Competency Based Education, Labor Education, College Students, Information Technology
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
Sajida Bhanu Panwale; Selvaraj Vijayakumar – International Review of Research in Open and Distributed Learning, 2025
This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…
Descriptors: Distance Education, Artificial Intelligence, Computer Software, Individualized Instruction