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Showing 1 to 15 of 86 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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Chien Wen Yuan; Hsin-yi Sandy Tsai; Yu-Ting Chen – Journal of Educational Computing Research, 2024
The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap…
Descriptors: Holistic Approach, Measures (Individuals), Artificial Intelligence, Multiple Literacies
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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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Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
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Chun-Hsiung Tseng; Hao-Chiang Koong Lin; Andrew Chih-Wei Huang; Jia-Rou Lin – Cogent Education, 2023
This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…
Descriptors: Artificial Intelligence, Personality Traits, Foreign Countries, Engineering Education
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Shiao, Yi-Tzone; Chen, Cheng-Huan; Wu, Ke-Fei; Chen, Bae-Ling; Chou, Yu-Hui; Wu, Trong-Neng – Smart Learning Environments, 2023
In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…
Descriptors: Foreign Countries, Dropout Prevention, Models, Sustainability
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Yun-Fang Tu – Educational Technology & Society, 2024
With the rapid development of generative artificial intelligence (GAI), the performance and usability of related tools, such as ChatGPT, have significantly improved. The advancement has fostered researchers to increasingly focus on students' perceptions and application of the roles, functionalities, and interaction patterns of these tools in…
Descriptors: Artificial Intelligence, Interaction, Undergraduate Students, Student Attitudes
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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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David B. Wandera – Reading Research Quarterly, 2024
We live in an age of artificial intelligence (AI). Open AI, an American artificial intelligence organization, claims that generative chatbots are here to stay. Although computer technology remains unevenly distributed, the presence of AI continues to be felt in many areas of daily life. Further, AI development happens in few countries whose…
Descriptors: Artificial Intelligence, Cultural Influences, Childrens Literature, Colonialism
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Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
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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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Chou, Chun-Mei; Shen, Tsu-Chi; Shen, Tsu-Chuan; Shen, Chien-Hua – Education and Information Technologies, 2022
This research investigated 1,552 university students to explore the correlation between their learning effectiveness of artificial intelligence (AI) technology application and its influencing factors. The aim is to provide a reference for school planning and application of AI in information and communications technology (ICT) teaching. The results…
Descriptors: Artificial Intelligence, Instructional Effectiveness, College Students, Student Attitudes
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Hui-Tzu Chang; Chia-Yu Lin – Journal of Computer Assisted Learning, 2024
Background: Numerous higher education institutions worldwide have adopted English-language-medium computer science courses and integrated online problem-solving competitions to bridge gaps in theory and practice (Alhamami "Education and Information Technologies," 2021; 26: 6549-6562). Objectives: This study aimed to investigate the…
Descriptors: Artificial Intelligence, Instructional Improvement, Problem Solving, Competition
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Cathy Weng; Kifle Kassaw; Pei-Shan Tsai; Tsai-Ju Lee – Education and Information Technologies, 2024
This study aimed to make and introduce a curriculum in Taiwan for fifth-grade students, merging Scratch animation with the Sustainable Development Goals (SDGs). The curriculum combined the Scratch Reflective AI digital learning platform with conventional teaching methods to assess its effect on students' empathy, self-efficacy, and scriptwriting…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Sustainable Development
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Jia-Yin Wang; Hui-Ting Wang; Fang Yu Lin; Wen-Wen Chen – Educational Technology & Society, 2024
Developing adaptive skills poses a significant challenge for children with autism spectrum disorder (ASD). Personal hygiene, including hand-washing, was particularly important during the COVID-19 pandemic. Video self-modeling (VSM) is an effective strategy for teaching adaptive skills due to its inherent individualization nature. However, the…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Hygiene, Skill Development
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