A Music Teaching Resource Management Model Based on Fuzzy Clustering Algorithm

Abstract

This study develops and implements a music instructional resource platform based on fuzzy clustering algorithm knowledge in order to make the management of music teaching quality more scientific and standardised. This study presents the construction scheme of a music instructional resource management system in a higher education institution through requirements analysis, function design, system development and implementation, and system testing of the software system. In this study, a system is developed that uses computational intelligence to calculate the content and topics contained in resources based on semantic similarity, generate category labels, and cluster educational resources in order to integrate educational resources and implement effective management. It not only meets the needs of users who want to access the platform system via mobile terminals but also increases the platform system’s utilisation rate. Experiments show that this system’s stability can reach 95.37%. The retrieval accuracy is 96.24%, which is 8.94% better than the traditional method. It has the ability to effectively provide high-quality music teaching resources. Using the instructional resource system proposed in this study will improve teaching effectiveness, reduce learners’ learning burden, and increase learning efficiency.

Opinions of Music Education Department Students on Web 2.0 Tools: The Case of Bursa Uludag University

“…Hew and Cheung (2013) stated that "many claims and suggestions have been made about the educational potential or benefits of Web 2.0 technologies, but such claims or recommendations are usually only based on assumptions, not research evidence." However, since 2013, many experimental studies have been carried out, not only explaining the tools but also on the use of Web 2.0 technology in education (Aytan & Başal, 2015;Başal & Eryılmaz, 2021;Bugawa & Mirzal, 2018;Can, 2021;Cumhur & Çam, 2021;Çakan Uzunkavak & Gül, 2022;Çalışkan et al, 2019;Echeng & Usoro, 2016;Gürleroğlu & Yıldırım, 2022;Jarrah & Alzubi, 2021;Karadağ & Garip, 2021;Parkita, 2021;Süğümlü & Aslan, 2022;Şahin-Topalcengiz, & Yıldırım, 2020;Tünkler, 2021;Wu, 2022). In their research, Çakan Uzunkavak and Gül (2022) aimed to evaluate the contribution of the activities prepared with Web 2.0 technologies for the sound creation unit on the learning levels of students within the scope of the music lesson.…”

“…As a result of the research, it was determined that the activities prepared with Web 2.0 technologies contributed to the students' self-awareness, selfconfidence, voice health, voice change and field expertise, and also facilitated the learning of theoretical knowledge. Consistent with the idea of Web 2.0, where data are created, used and shared by users, Wu (2022) developed and implemented a music teaching resource platform based on fuzzy clustering algorithm knowledge to manage music education in a more scientific and standardized manner. As a result of the research, it is stated that the use of the proposed teaching resource system increases the effectiveness of teaching and reduces students' learning load by increasing the efficiency of learning.…”