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Showing 1 to 15 of 19 results Save | Export
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Gwo-Jen Hwang; Kai-Yu Tang; Yun-Fang Tu – Interactive Learning Environments, 2024
This study provides research-based evidence to profile: (1) the roles of artificial intelligence in nursing; (2) its research applications; and (3) the research trends for future study. On the basis of the PRISMA statement, a series of AI and nursing education related keywords from the literature were used to retrieve high-quality journal articles…
Descriptors: Foreign Countries, Nursing Education, Nursing, Nursing Research
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Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
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Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
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Hwang, Gwo-Jen; Chang, Ching-Yi – Interactive Learning Environments, 2023
This study explores the trends of chatbots in education studies by conducting a literature review to analyze relevant papers published in the Social Science Citation Index (SSCI) journals by searching the Web of Science (WoS) database. From the analysis results, it was found that the United States, Taiwan and Hong Kong are the top three…
Descriptors: Artificial Intelligence, Teaching Methods, Technology Uses in Education, Databases
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Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
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Wei-Sheng Wang; Margus Pedaste; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Interactive Learning Environments, 2024
Virtual reality (VR) provides a unique platform for interactive learning experiences, enhancing learning, particularly in hands-on courses. However, the visual load of VR and the lack of guidance and interaction from physical teachers or peers can pose challenges for learners in self-regulated learning (SRL) and learning motivation. This study…
Descriptors: Feedback (Response), Self Management, Student Motivation, Computer Simulation
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Chen, Howard Hao-Jan; Yang, Christine Ting-Yu; Lai, Kyle Kuo-Wei – Interactive Learning Environments, 2023
Recent studies on the use of Intelligent Personal Assistant (IPA) for second language (L2) learning have found that IPAs such as "Amazon's Alexa" is useful and motivating for L2 learners and that learners' language proficiency might influence their perceptions toward IPAs. However, most existing studies focused on the potentials of…
Descriptors: English (Second Language), Second Language Learning, College Students, Artificial Intelligence
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Jo-Chi Hsiao; Jason S. Chang – Interactive Learning Environments, 2024
During the COVID-19 pandemic, global teachers gained extensive experiences with teaching online courses. To design quality online courses in the post-pandemic era, the impact of the latest technology, such as artificial intelligence (AI), must be considered. Investigating how teachers incorporate AI-powered tools and how students perceive learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, English (Second Language)
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Chi-Jen Lin; Husni Mubarok – Interactive Learning Environments, 2024
Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…
Descriptors: Computation, Thinking Skills, Blended Learning, Artificial Intelligence
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Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
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Ai-Jou Pan; Yu-Che Huang; Chin-Feng Lai – Interactive Learning Environments, 2024
Engineering education emphasizes experiential learning and laboratory experience, an approach which has faced significant challenges during the COVID-19 pandemic. The inability to conduct hands-on laboratory experiments in engineering courses can significantly impede the student's learning experience, as well as their acquisition and retention of…
Descriptors: Learning Management Systems, Hands on Science, Distance Education, Laboratories
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Yi-Fan Liu; Wu-Yuin Hwang; Chia-Hsuan Su – Interactive Learning Environments, 2024
Drama learning is helpful for English speaking, however, few studies provided students with opportunities to practice drama conversations individually. This study proposed a Context-Awareness Smart Learning Mechanism (CASLM) and integrated into SmartVpen that consisted of context-aware learning content, context-aware input assistance, oral…
Descriptors: Context Effect, Artificial Intelligence, Second Language Learning, English (Second Language)
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Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
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Hsu, Mei-Hua; Chen, Pei-Shih; Yu, Chi-Shun – Interactive Learning Environments, 2023
Many learners of English as a foreign language often feel that learning spoken English is frustrating and quite difficult, especially when they have to talk to English-speaking foreigners. In general, because they are unfamiliar with the spoken mode of English and are worried about making grammatical errors, they often feel very scared to speak…
Descriptors: Task Analysis, Artificial Intelligence, Computer Software, English (Second Language)
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