in the age of the Metaverse, this experimental research explores the potential of artificial intelligence (AI) in revolutionizing rural music teaching practices. By harnessing the capabilities of AI, specifically ChatGPT, we aim to address the challenges associated with limited resources and geographical constraints in rural music education. This study presents an innovative approach to integrating AI into music teaching, focusing on the creation of intelligent and interactive lesson plans that engage students and enhance their learning experiences. Through this integration, we aim to foster a...
this study aims to investigate sports music consumption behavior in the era of big data, with a focus on understanding the characteristics and patterns of music engagement among sports enthusiasts. Utilizing a combination of qualitative and quantitative research methods, the study explores the role of music in enhancing sports performance, motivation, and fan engagement. By analyzing large-scale data sets, the research identifies key trends and patterns in sports music consumption, revealing preferences, behaviors, and motivations behind the choice of music. The findings of this study contribu...
this paper presents a comprehensive examination of the current state of generative AI music and the associated challenges that accompany its development. Through a detailed analysis of recent advancements, this paper also proposes potential strategies for achieving high-quality development in this emerging field. The examination focuses on three key areas: technical advancements, creative applications, and ethical considerations [13].
Nowadays, when technology is moving forward, it is obvious that they will penetrate into music. Currently, melodies written with the help of artificial intellige...
this research explores the ethical norms surrounding the emotional embedding of artificial intelligence (AI) in music. It examines the ethical implications of AI's ability to evoke and manipulate emotions in musical compositions, considering factors such as privacy, autonomy, and the potential misuse of emotional intelligence. The study aims to establish guidelines for responsible AI implementation in music creation and performance, ensuring that AI-generated music respects the rights and dignity of users. It also discusses the ethical challenges posed by AI's ability to mimic human emotions a...
this research examines the development of an evaluation system for children's vocal music courses, grounded in the integration of Problem-Based Learning (PBL) and Case-Based Learning (CBL) models within an Artificial Intelligence (AI) context. By leveraging AI technologies and the PBL-CBL model, the study aims to assess the effectiveness of these innovative teaching approaches in enhancing children's learning experiences, particularly in fostering ideological and political awareness through vocal music education. The focus is on exploring how AI-powered evaluation can contribute to optimizing...
