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Yung-Hsiang Hu; Bo-Kai Liao; Chieh-Lun Hsieh – Interactive Learning Environments, 2024
It is known that teachers commonly utilize learning platforms equipped with Learning Analytics Dashboards (LAD) to support students in their Self-Regulated Learning (SRL) endeavors. However, students may struggle to effectively employ LAD due to a lack of sufficient metacognitive skills. Co-regulation of learning (CoRL) has been proven to…
Descriptors: Program Effectiveness, Gamification, Learning Analytics, Educational Technology
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Morris, Thomas Howard; Rohs, Matthias – Interactive Learning Environments, 2023
Self-directed learning is a critical competence for living and working in our increasingly complex and unpredictable world. The concept of self-directed learning grew out of the adult learning field and scholars highlight the need to examine how self-directed learning competence can be fostered during childhood. However, there are very few…
Descriptors: Educational Technology, Independent Study, Technology Uses in Education, Student Role
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Poitras, Eric G.; Doleck, Tenzin; Huang, Lingyun; Dias, Laurel; Lajoie, Susanne P. – Interactive Learning Environments, 2023
This study applies a time-driven approach to model self-regulated learning (SRL) on the basis of elapsed time metrics in the context of open-ended learning environments (OELEs), specifically, network-based tutors. In doing so, we examine how students allocated attentional resources to distinct phases of SRL as a measure of depth of information…
Descriptors: Independent Study, Self Management, Time, Networks
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Wang, Jingying; Jou, Min – Interactive Learning Environments, 2023
As mobile learning (ML) becomes more and more popular, teaching methods are gradually adapting to flipped classrooms or micro-flipped classrooms. Many studies have discussed the influence of ML-based flipped classrooms on students' learning in a macroscopic way. However, at the micro-level, the impact of these classrooms on students' emotional…
Descriptors: Telecommunications, Handheld Devices, Emotional Development, Cognitive Processes
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Zhi Quan; Lynn Grant; Darryl Hocking; Andy Connor – Interactive Learning Environments, 2024
In recent years, the emerging trend of mobile learning (hereinafter "m-learning") has obtained increasing attention from educators and higher popularity among students worldwide. Partly due to its short history, there seems to be a lack of comprehensive and in-depth understanding on the distinctiveness of m-learning. It is maintained in…
Descriptors: Electronic Learning, Technology Integration, Educational Technology, Computer Assisted Instruction
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Alemayehu, Lekissa; Chen, Hsiu-Ling – Interactive Learning Environments, 2023
The present study reviewed papers published in the Web of Science database from 2014 to 2020 in SSCI indexed journals on learner- and instructor-related challenges for learners' engagement in MOOCs based on the Technology-Based Learning Model. The focus is on research design, instructor-related factors that foster and frustrate learner engagement,…
Descriptors: Barriers, MOOCs, Educational Technology, Affordances
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Lafuente, Marc – Interactive Learning Environments, 2017
Through profiling and matching processes, technology provides individuals with information that becomes redundant to their previous beliefs, attitudes and preferences. The emergence of informational redundancies encouraged by some technologies is likely to influence the way knowledge is constructed by individuals in these settings. In this paper,…
Descriptors: Learning Processes, Influence of Technology, Technology Uses in Education, Barriers
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Chen, Min; Yu, Sheng Quan; Chiang, Feng Kuang – Interactive Learning Environments, 2017
Most ubiquitous learning researchers use resource recommendation and retrieving based on context to provide contextualized learning resources, but it is the kind of one-way context matching. Learners always obtain fixed digital learning resources, which present all learning contents in any context. This study proposed a dynamic ubiquitous learning…
Descriptors: Electronic Learning, Educational Technology, Instructional Materials, Models
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Joo, Young Ju; Joung, Sunyoung; Kim, Jiyeon – Interactive Learning Environments, 2014
Learning persistence in a cyber-learning environment is not only an index determining the success or failure of individual learners but also a source of important information to establish the management direction of educational programs in an organization. Accordingly, learners need to be motivated to continue to grow in order to ensure both…
Descriptors: Virtual Universities, Online Courses, Independent Study, Satisfaction