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Download full textSohyeon Bae; Kyle L. Chong – International Review of Research in Open and Distributed Learning, 2024
In this qualitative study, we analyzed the processes of a collaborative online international learning (COIL) collaboration between two higher education institutions in Japan and the United States from the perspective of the technological, pedagogical, and content knowledge (TPACK) framework. The research question this study aimed to address was:…
Descriptors: Cultural Awareness, Technological Literacy, Pedagogical Content Knowledge, Cooperative Learning
Hongwei Yang; Müslim Alanoglu; Songül Karabatak; Jian Su; Kelly Bradley – International Review of Research in Open and Distributed Learning, 2025
This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…
Descriptors: Foreign Countries, Factor Analysis, Translation, Student Attitudes
He, Wei; Zhao, Li; Su, Yu-Sheng – International Review of Research in Open and Distributed Learning, 2022
Within the COVID-19 pandemic and the new normal period, online learning has become one of the main options for learning. Previous studies on self-regulated learning have shown that it was a better predictor of online learning effectiveness. However, this discussion has not been extended to the situation of the COVID-19 pandemic. To address this…
Descriptors: Self Control, Learning Processes, Electronic Learning, Learning
Matthieu Tenzing Cisel – International Review of Research in Open and Distributed Learning, 2023
Due notably to the emergence of massive open online courses (MOOCs), stakeholders in online education have amassed extensive databases on learners throughout the past decade. Administrators of online course platforms, for instance, possess a broad spectrum of information about their users. This information spans from users' areas of interest to…
Descriptors: MOOCs, Ethics, Risk, Databases
Aakash Kamble; Nitin Upadhyay; Nayna Abhang – International Review of Research in Open and Distributed Learning, 2024
Massive open online courses (MOOCs) have gained popularity among sales professionals who use them for self-directed learning and upskilling. However, research related to their intentions to continue learning is scarce. Drawing from the social cognition theory, this research aimed to address this gap by investigating the role of task-technology…
Descriptors: MOOCs, Sales Occupations, Salesmanship, Independent Study
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
Agus Riwanda; Muhammad Ridha; M. Irfan Islamy – International Review of Research in Open and Distributed Learning, 2024
The migration to online learning has brought about several new problems. Poor signal quality, large Internet quotas, and device compatibility with learning applications are the most common complaints among students. Additionally, students' poor self-directed learning skills, the excessive number of assignments given by teachers, and the use of…
Descriptors: Foreign Countries, Second Language Learning, Arabic, Asynchronous Communication
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
Çakiroglu, Ünal; Saylan, Esin; Çevik, Isak; Özkan, Adem – International Review of Research in Open and Distributed Learning, 2022
This quasi-experimental study explored how different online exam types differentiate learners' academic achievement and perceived learning. The participants comprised 95 undergraduate students enrolled in an English course at a Turkish university in three groups, each taking a different type of quiz: with multiple-choice, open-ended, and mixed…
Descriptors: Test Format, Computer Assisted Testing, Electronic Learning, English (Second Language)
Hillman, Angela R.; Brooks, Anna R.; Barr, Marcus; Strycker, Jesse – International Review of Research in Open and Distributed Learning, 2021
While open educational resources (OER) have gained popularity, nearly three quarters of faculty are not aware they are available for use. However, when used, they are well received and do not negatively impact quality of learning. OER can be used within a variety of platforms, including software that aims to be more interactive and engage students…
Descriptors: Open Educational Resources, Instructional Effectiveness, Introductory Courses, Exercise Physiology
Rawson, Rebecca; Okere, Uchechukwu; Tooth, Owen – International Review of Research in Open and Distributed Learning, 2022
Recent research in the field of virtual reality (VR) education is dominated by the application, experience, and effectiveness of high-immersive environments. However, high-immersive VR may not be accessible to all learners, with online distance learning students in particular unable to fully engage without being supplied with appropriate…
Descriptors: Computer Simulation, Technology Uses in Education, Electronic Learning, Environmental Education
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
Debbag, Murat; Fidan, Mustafa – International Review of Research in Open and Distributed Learning, 2022
Using a descriptive research design, this study explored pre-service teachers' perceptions of synchronous virtual classrooms and Web camera use in online learning. The study sample consisted of 256 pre-service teachers from the education faculty of a university in Turkey, and data was collected using a survey. The results showed that most…
Descriptors: Preservice Teachers, Student Attitudes, Virtual Classrooms, Electronic 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
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
