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Showing 1 to 15 of 361 results Save | Export
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Emine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
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Zhenchenko, Maryna; Melnyk, Oksana; Prykhoda, Yaroslava; Zhenchenko, Igor – International Review of Research in Open and Distributed Learning, 2022
This article defines 27 criteria for evaluating the functionality of e-learning platforms, grouped into three macro groups: (a) learning management, (b) learning content management, and (c) communications and collaboration tools. The proposed criteria can be used to evaluate any e-learning platform's functionality. They allow teachers and…
Descriptors: Foreign Countries, Electronic Learning, Integrated Learning Systems, Program Evaluation
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Sohyeon 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
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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
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Walsh, Chris; Bragg, Leicha; Muir, Tracey; Oates, Greg – International Review of Research in Open and Distributed Learning, 2022
Opportunities for self-determined online professional development (OPD) are emerging, but their potential for increasing adult learners' agency is not yet fully realised. Faced with the problem of successfully designing a self-determined comprehensive evidence-based online numeracy resource for educators who are often time poor and do not engage…
Descriptors: Numeracy, Professional Development, Pedagogical Content Knowledge, Guides
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Jingyu Xiao; Goudarz Alibakhshi; Alireza Zamanpour; Mohammad Amin Zarei; Shapour Sherafat; Seyyed-Fouad Behzadpoor – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) has contributed to various facets of human lives for decades. Teachers and students must have competency in AI and AI-empowered applications, particularly when using online electronic platforms such as learning management systems (LMS). This study investigates the structural relationship between AI literacy, academic…
Descriptors: Artificial Intelligence, Technological Literacy, Educational Attainment, Electronic Learning
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Gurcan, Fatih; Ozyurt, Ozcan; Cagiltay, Nergiz Ercil – International Review of Research in Open and Distributed Learning, 2021
E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning…
Descriptors: Educational Trends, Electronic Learning, Models, Learning Analytics
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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
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Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
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Ahmadi, Golchehreh; Mohammadi, Aeen; Asadzandi, Shadi; Shah, Mahsood; Mojtahedzadeh, Rita – International Review of Research in Open and Distributed Learning, 2023
Student engagement has an important role in academic achievement in all learning contexts, including e-learning environments. The extent of monitoring and promoting student engagement in e-learning affects the quality of education and is a determining factor for ensuring student's success. Log data of students' activities recorded in a learning…
Descriptors: Educational Indicators, Learner Engagement, Learning Management Systems, Literature Reviews
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Racquel Biem; Dirk Morrison – International Review of Research in Open and Distributed Learning, 2023
Ethical education practices require that all students have access to quality learning resources, necessary learning supports, diverse learning strategies, and deep learning opportunities. When it comes to learning strategies and opportunities, collaborative learning practices foster deep learning through socio-cultural interactions, asserting that…
Descriptors: Ethics, Educational Practices, Asynchronous Communication, Online Courses
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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
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Hasani, Lintang Matahari; Santoso, Harry Budi; Junus, Kasiyah – International Review of Research in Open and Distributed Learning, 2022
The community of inquiry (CoI) framework describes a process for creating collaborative learning through three elements or presences: social, cognitive, and teaching. Despite its popularity among researchers and practitioners, use of the CoI model is limited to mapping instructional activities, which are yet to be developed into an interaction…
Descriptors: Design, Asynchronous Communication, Computer Mediated Communication, Discussion
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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
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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