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Showing 1 to 15 of 39 results Save | Export
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Zhenhua Chang; Min Zhou – Journal of Creative Behavior, 2025
As pedagogical training becomes more advanced and intensive, new methods of instruction that incorporate information technology are becoming increasingly important. The purpose of this article is to investigate how using the MuseScore scorewriter to teach solfeggio affects music students' ability to think creatively. The program designed for a…
Descriptors: Computer Software, Music Education, College Students, Program Effectiveness
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Xing Hu; Wen Gong – Education and Information Technologies, 2025
Amid the growing interest in generative AI technologies like ChatGPT for educational purposes, this research seeks to better understand Chinese EFL learners' acceptance and usage of them for L2 writing purposes. This study conducts an investigation by establishing a structural equation model that incorporates the Technology Acceptance Model (TAM)…
Descriptors: Foreign Countries, Artificial Intelligence, Computer Software, Technology Integration
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Jinhe Zhang – European Journal of Education, 2025
This study explores how well DAW software works for students' 'Academic Singing' training in raising their motivation and academic performance. The practical portion included a case study based on the BandLab DAW system, including its educational analysis. A five-month experiment was conducted with 150 s-year [Harbin Normal University]…
Descriptors: Music Education, Singing, Computer Software, Student Motivation
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Qianru Li; Saifon Songsiengchai; Ada Marie G. Mascarinas – World Journal of Education, 2025
This study investigates the impact of 3DS MAX software on creative development and skills in art education at GUIZHOU UNIVERSITY, China. As digital technologies become increasingly integral to art education, understanding how 3D animation software influences students' creative capabilities and technical skills is crucial for developing practical…
Descriptors: Foreign Countries, Computer Software, Technology Uses in Education, Animation
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Yajing Yang – Studies in Applied Linguistics & TESOL, 2025
This study explores uses of the quote-and-reply (Q&R) function in WeChat through conversation analysis. Analyzing 7 naturally occurring chat samples, the research identifies 3 primary interactional practices: sequence-jumping, which enables responses to non-adjacent turns across temporal gaps; response facilitation, where quotes are…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
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Hongfei Ye; Jian Xu; Danqing Huang; Meng Xie; Jinming Guo; Junrui Yang; Haiwei Bao; Mingzhi Zhang; Ce Zheng – Discover Education, 2025
This study evaluates Large language models (LLMs)' performance on Chinese Postgraduate Medical Entrance Examination (CPGMEE) as well as the hallucinations produced by LLMs and investigate their implications for medical education. We curated 10 trials of mock CPGMEE to evaluate the performances of 4 LLMs (GPT-4.0, ChatGPT, QWen 2.1 and Ernie 4.0).…
Descriptors: College Entrance Examinations, Foreign Countries, Computational Linguistics, Graduate Medical Education
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Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
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Zhuolei Li – Studies in Applied Linguistics & TESOL, 2025
This study investigates the interactional functions of the "Slightly Smiling Face" (SSF) emoji in Chinese WeChat conversations through the lens of Conversation Analysis (CA). Drawing on 50 naturally occurring chat excerpts involving 12 participants across various relationship types, the study identifies three core uses of the SSF emoji:…
Descriptors: Discourse Analysis, Nonverbal Communication, Cues, Computer Mediated Communication
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Yifang Wang – Early Childhood Education Journal, 2025
The impact of population policy changes on the demand for educational resources has long been a central focus of scholarly inquiry. With the recent implementation of China's three-child policy, there arises the potential for shifts in preschool enrollment patterns, thereby influencing the demand for preschool educational resources. This study…
Descriptors: Prediction, Preschool Education, Educational Demand, Foreign Countries
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Guohui Xing; Xiaofeng Luo – International Journal of Distance Education Technologies, 2025
This study discusses the value of applying the practical strategy of top-level design of artificial intelligence (AI) in the ideological and political theory courses (IPC) in China universities, aiming at improving the ideological and political literacy (PA) of college students. The research first implements IPC through AI network media, then…
Descriptors: Instructional Innovation, Artificial Intelligence, Political Attitudes, Computer Software
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Hui Yang – International Review of Research in Open and Distributed Learning, 2025
This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…
Descriptors: Foreign Countries, Young Adults, Music Education, Music
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Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Terry L. Howard; Gregory W. Ulferts – Research in Higher Education Journal, 2025
Artificial Intelligence (AI) is profoundly reshaping higher education by introducing innovative tools and systems that enhance learning outcomes, streamline administrative processes, and address global educational challenges. This white paper examines AI's transformative impact on higher education, drawing on a comprehensive analysis of empirical…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Policy Formation
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Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
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