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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
Mapping Network Structure and Diversity of Interdisciplinary Knowledge in Recommended MOOC Offerings
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
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
Liang Wang; Fengliang Li – International Review of Research in Open and Distributed Learning, 2023
The economics of distance higher education have not attracted enough attention. Few studies have analyzed the different returns to distance higher education at various income levels. Based on empirical analysis of data from China Family Panel Studies (CFPS), this study explored the differences of return to distance higher education at different…
Descriptors: Outcomes of Education, Income, Distance Education, Low Income Groups
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
Lei, Jun; Lin, Teng – International Review of Research in Open and Distributed Learning, 2022
This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
Feng, Xiaoying; Xie, Jingjing; Liu, Yue – International Review of Research in Open and Distributed Learning, 2017
Tutoring involves providing learners with a suitable level of structure and guidance to support their learning. This study reports on an exploration of how to design such structure and guidance (i.e., learning scaffolds) in the Chinese online educational context, and in so doing, answer the following two questions: (a) What scaffolding strategies…
Descriptors: Scaffolding (Teaching Technique), Tutoring, Inquiry, Foreign Countries
Zhang, Yin; Chu, Samuel K. W. – International Review of Research in Open and Distributed Learning, 2016
In recent years, a number of models concerning problem solving systems have been put forward. However, many of them stress on technology and neglect the research of problem solving itself, especially the learning mechanism related to problem solving. In this paper, we analyze the learning mechanism of problem solving, and propose that when…
Descriptors: Web Based Instruction, Problem Solving, Foreign Countries, Information Processing