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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
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Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
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Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis
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Cheng, Yu-Ping; Cheng, Shu-Chen; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2022
Online learning has been widely discussed in education research, and open educational resources have become an increasingly popular way to help learners acquire knowledge. However, these resources contain massive amounts of information, making it difficult for learners to identify Web articles that refer to computer science knowledge. This study…
Descriptors: Internet, Online Searching, Information Retrieval, Artificial Intelligence
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Tzeng, Jian-Wei; Lee, Chia-An; Huang, Nen-Fu; Huang, Hao-Hsuan; Lai, Chin-Feng – International Review of Research in Open and Distributed Learning, 2022
Massive open online courses (MOOCs) are open access, Web-based courses that enroll thousands of students. MOOCs deliver content through recorded video lectures, online readings, assessments, and both student-student and student-instructor interactions. Course designers have attempted to evaluate the experiences of MOOC participants, though due to…
Descriptors: Online Courses, Models, Learning Analytics, Artificial Intelligence
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Hsu, Ting-Chia; Abelson, Hal; Van Brummelen, Jessica – International Review of Research in Open and Distributed Learning, 2022
The purpose of this study was to design a curriculum of artificial intelligence (AI) application for secondary schools. The learning objective of the curriculum was to allow students to learn the application of conversational AI on a block-based programming platform. Moreover, the empirical study actually implemented the curriculum in the formal…
Descriptors: Secondary School Students, Experiential Learning, Curriculum Design, Artificial Intelligence
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Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
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Zhang, Jingjing; Yang, Yehong; Barbera, Elena; Lu, Yu – International Review of Research in Open and Distributed Learning, 2022
In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…
Descriptors: Network Analysis, Interdisciplinary Approach, MOOCs, Electronic Learning
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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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Keshavarz, Mohsen; Mirmoghtadaie, Zohrehsadat; Nayyeri, Somayyeh – International Review of Research in Open and Distributed Learning, 2022
Effective classroom management methods are well known, but effective ways of managing classes of beginner teachers remain elusive. Classroom management refers to the wide range of skills and techniques that teachers use to ensure that classes are conducted without destructive student behavior. The present study is applied nonexperimental research.…
Descriptors: Test Construction, Test Validity, Virtual Classrooms, Classroom Techniques
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Harvey, Paul; Bond, John – International Review of Research in Open and Distributed Learning, 2022
Open educational resources (OER) constitute a curriculum innovation that is considered revolutionary and has the potential to change the landscape of curriculum at all levels and content areas. OER have gained attention and widespread acceptance by educators and policy makers since 2002. The promise of OER is that they provide cost savings,…
Descriptors: Open Educational Resources, Middle School Students, Mathematics Achievement, Mathematics Education
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Review of Research in Open and Distributed Learning, 2022
As large-scale, sophisticated open and distance learning environments expand in higher education globally, so does the need to support learning at scale in real time. Valid, reliable rubrics of critical discourse are an essential foundation for developing artificial intelligence tools that automatically analyse learning in educator-student…
Descriptors: Validity, Scoring Rubrics, Automation, Classification
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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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Polat, Elif; Hopcan, Sinan; Yahs, Ömer – International Review of Research in Open and Distributed Learning, 2022
Readiness is important for the success of the e-learning process. The purpose of this study was twofold: to develop a scale to measure K-12 teachers' e-learning readiness, and to examine their readiness to teach online. The participants were 3,295 K-12 teachers working in Izmir, Turkey. First EFA, then CFA-SEM was performed. Additionally,…
Descriptors: Elementary School Teachers, Secondary School Teachers, Readiness, Electronic Learning
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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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