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Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
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Li Jin; Dawei Shang – Interactive Learning Environments, 2024
Massive open online courses (MOOC) have become important in the learning process and have been adopted in higher education, especially during the COVID-19 pandemic. However, few studies investigated MOOC continuance intention (CI) for arts disciplines. Thus, an integrated framework was proposed based on the expectation-confirmation model (ECM) and…
Descriptors: Art Education, MOOCs, Computer System Design, Continuing Education
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Ge, Zi-Gang – Interactive Learning Environments, 2022
This study seeks to investigate the impact of a real-time multi-peer feedback process with the use of a web-based polling software on adult e-learners' learning performance. Two groups of participants with 30 members in each were involved in the experiment. In the two-and-a-half-hour experiment, the experimental group adopted a web-based polling…
Descriptors: Feedback (Response), Peer Evaluation, Computer Software, Adult Learning
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Gu, Jia – Interactive Learning Environments, 2016
This paper presents the findings from a multiple-case study which has investigated the impact of mobile Web 2.0 technologies on self-directed learning (SDL) of workplace learners by exploring participants' learning experiences with a mobile App. Drawing on existing literatures, we examined learners' SDL personal attributes and process in the…
Descriptors: Web 2.0 Technologies, Workplace Learning, Adult Learning, Learning Processes
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Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level