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Nauryz Kuldanov; Svetlana Balagazova; Kamarsulu Ibrayeva; Aliya Mombek; Zhanbolat Kosherbayev; Nazymgul Bolatkhan – Journal of Educational Computing Research, 2025
The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…
Descriptors: College Freshmen, Music Education, Creativity, Emotional Response
Xiaowei Lei – Journal of Computer Assisted Learning, 2024
Background: This research aimed at investigating the effectiveness of online digital audio software Logic Pro X and offline audio studios in creating an original folk-style track. The goal was to define the more effective method for the perspective and quality of musical compositions that students create during learning. Objectives: This research…
Descriptors: Music Education, Accuracy, Audio Equipment, Musical Composition
Huan Zhao; Lora Narikbayeva; Yuanhua Wu – Interactive Learning Environments, 2024
The realities of modern music education have forced many educators and learners to look for new solutions to ensure a high-quality learning process. One of them is creating and integrating interactive music composition systems. This study aims to assess the impact of Lumanote, as an interactive music composition system, on piano students' skill…
Descriptors: Music Education, Musical Composition, Musical Instruments, College Students
Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
Adita Maharaj; Akini Gill – Canadian Journal of Learning and Technology, 2023
This study examined the use of music software as a pedagogical tool for the delivery of specific content in a music education course offered to Certificate and Bachelor of Education Program students at a Caribbean university. The existing course uses a traditional approach, and thus, the study is significant as the results would propel a shift…
Descriptors: Music Education, Undergraduate Students, Foreign Countries, Computer Software
Yu Cheng – Interactive Learning Environments, 2023
Creative music skills promote much more divergent thinking perceived as a key element of creativity. The current research examines how music-making software enhances creative thinking skills in music. The research discusses the impact of music-making multimedia software on creative thinking development while creating musical pieces of a variety of…
Descriptors: Foreign Countries, Music Education, Musical Composition, Multimedia Materials
Xiao Dong; Betty Anne Younker – Action, Criticism, and Theory for Music Education, 2025
Research into using AI for editing doctoral dissertation work in music education and a subsequent review of literature prompted this collaborative investigation. Specifically, this paper examines ChatGPT-Human collaboration in doctoral dissertation writing and editing through the lens of Martin Buber's (1958) "I-Thou" relation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Doctoral Dissertations
Moreno, Matthew; Ryan, Charlene; Woodruff, Earl – International Journal of Music Education, 2023
This study examined how music major and non-music major participants' performances and emotional expressions differed when exposed to background music of varying tempi while completing a reading comprehension task. Two questions were addressed: (1) What effect does background music of varying tempi have on the performance of music and non-music…
Descriptors: Music, Nonverbal Communication, Psychological Patterns, Performance
Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
Ozlem Uzumcu; Hasan Acilmis – Technology, Knowledge and Learning, 2024
The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact…
Descriptors: Instructional Innovation, Artificial Intelligence, Teaching Methods, Computer Software
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
Jing Peng – Interactive Learning Environments, 2024
Playing musical instruments involves a high level of skill based on the harmonious and esthetic reproduction of notes. The main aim of this study is to determine the impact of MusicFlow, an interactive music composition system, on the development of students' piano skills. The article also used a survey to determine the potential of using digital…
Descriptors: Musical Instruments, Music Education, Musical Composition, Computer Software
Apaydinli, Köksal – Journal of Educational Technology and Online Learning, 2023
This study aims to examine the studies scanned in Web of Science and Scopus databases between 2006-2020 on the use of augmented reality applications in music education in terms of their descriptive features, methodological features, and outcomes, and to reveal the trends in this field. The criterion sample approach was utilized in this qualitative…
Descriptors: Music Education, Educational Research, Computer Simulation, Educational Technology
Sun, Jing Qiu – Education and Information Technologies, 2023
The paper's primary goal was to analyze and find interactive piano learning systems using the Suzuki method. The sample of respondents engaged in the investigation was made up of 200 students from the [Zhejiang Conservatory of Music]. The estimated Cohen's kappa coefficient determined the level playing field of control and experimental groups at…
Descriptors: Music Education, Musical Instruments, Computer Software, Psychomotor Skills
Demirtas, Erkan; Özçelik, Sadik – International Journal of Modern Education Studies, 2021
This paper analyzes the use of mobile applications for learning purposes by music education department students. The survey design was used as the research method. The Mobile Application Usage in Music Learning scale developed by the researcher was used as a data collection tool. After the validity and reliability studies were carried out, the…
Descriptors: Music Education, Educational Technology, Telecommunications, Handheld Devices