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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
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
Kai Wang; Josep Rialp Criado; Stefan Felix Van Hemmen – International Review of Research in Open and Distributed Learning, 2024
This study involved 51 Chinese universities from the Quacquarelli Symonds (QS) World University Ranking 2021. With based the resource-based view (RBV) as a framework, it aimed to identify the determinants of human resource capital that were related to universities' production of MOOCs. Three determinants were detected--size, lifelong learning, and…
Descriptors: MOOCs, Foreign Countries, Human Capital, Colleges
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
Shadiev, Rustam; Xueying, Wang; Huang, Yueh Min – International Review of Research in Open and Distributed Learning, 2020
Virtual reality (VR) technology makes it possible to create an authentic virtual environment that benefits immersive learning. We designed an intercultural learning activity and applied VR technology to support it. Then, we investigated students' perceptions of the learning activity, VR technology, and intercultural competence (IC) development…
Descriptors: Computer Simulation, Learning Activities, Technology Integration, Foreign Countries
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
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
Dan Wang – International Review of Research in Open and Distributed Learning, 2024
This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…
Descriptors: Artificial Intelligence, Feedback (Response), Anxiety, Foreign Countries
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
Ying He – International Review of Research in Open and Distributed Learning, 2024
Several barriers hinder students from producing clear and impactful written work. Writing assignments are often given on an individual basis, similar to homework, and without any assistance. Students in a classroom context have access to both their classmates and the teacher while they are working in groups or pairs as part of their assignments.…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Instruction
Ting Xiao; Sisi Yi; Shamim Akhter – International Review of Research in Open and Distributed Learning, 2024
The consideration of students' emotional and psychological health is crucial to facilitate effective teaching and grading practices. This study set out to shed light on the interplay between self-esteem (S-E), cognitive-emotion regulation (CER), academic enjoyment (AE), and language success (LS) in artificial intelligence (AI)-supported online…
Descriptors: Artificial Intelligence, Computer Software, Self Esteem, Second Language Learning
Ouyang, Fan; Li, Xu; Sun, Dan; Jiao, Pengcheng; Yao, Jiajia – International Review of Research in Open and Distributed Learning, 2020
The development of massive open online courses (MOOCs) has proceeded through three generations, and in all three, online discussions have been considered a critical component. Although discussions in MOOCs have the potential to promote learning, instructors have faced challenges facilitating learners' knowledge inquiry, construction, and…
Descriptors: Discussion Groups, Student Attitudes, Preferences, Online Courses
Zhang, Xiaodong – International Review of Research in Open and Distributed Learning, 2018
Systemic functional linguistics (SFL) theory focuses on developing language learners' meta-linguistic understanding of the interrelation among linguistic form (grammar/vocabulary), meaning, and context. Guided by SFL when using a mandatory textbook and open educational resources, this study investigates how exposure to this blended teaching and…
Descriptors: Linguistic Theory, English (Second Language), Second Language Learning, Second Language Instruction
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
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