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Developing and Evaluating a Rhythm Reading Practice Kit: A Study on Learning Outcomes and Music Learners Satisfaction in Music Education Using Quantitative Analysis Chantanasut, Thaworada
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.471

Abstract

This study presents the development and evaluation of a rhythm reading practice kit aimed at improving rhythm comprehension and overall student satisfaction in music education. The kit was specifically designed for students in the Western Music and Vocal Education Studies Program at Rajamangala University of Technology Thanyaburi and Nawaminthrachinuthit School, Horwang, Nonthaburi. It includes progressive exercises across multiple time signatures, enabling both guided classroom uses and self-directed practice. A quantitative research approach was adopted, utilizing pre-test and post-test assessments to measure academic improvement in rhythm reading skills, coupled with a satisfaction survey to gauge student perceptions. Findings revealed a statistically significant increase in students' post-test scores, with university students achieving a mean improvement of 18.35 points and high school students 15 points. The paired samples t-test results indicated strong significance at the .05 level, underscoring the kit's positive impact on rhythm reading proficiency. Furthermore, the student satisfaction survey highlighted high levels of approval, particularly in areas such as instructional clarity, content alignment, and ease of use for independent learning. These results suggest that the rhythm reading practice kit not only enhances students' rhythm skills but also supports their engagement and enjoyment of the learning process. The study concludes with recommendations for future research, suggesting potential digital integrations to increase accessibility and considering adaptations to address a broader range of musical skills beyond rhythm. The findings contribute to the field of music education by providing evidence of the kit's effectiveness and promoting its use as a tool to foster comprehensive rhythm education in diverse educational settings.
A Data-Driven Training Kit to Enhance the Note Recording Skills of Music Learners Chantanasut, Thaworada
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.1063

Abstract

Music note recording is a fundamental skill in music education, yet many undergraduate learners struggle due to the lack of structured, self-guided practice resources. This study aimed to develop and evaluate a data-driven training kit designed to Enhance the Note Recording Skills of Music Learners. A total of 20 first-year students from a Bachelor of Education program in Western Music and Vocal Education were selected through purposive sampling. Research instruments included the training kit, expert evaluation forms, pre- and post-tests, student satisfaction surveys, and behavior observation checklists. Quantitative data were analyzed using mean, standard deviation, and paired sample t-tests. Results showed a statistically significant improvement in students' performance after the intervention (t = 18.789, p .001), with a large effect size (Cohen’s d = 2.53). Experts rated the kit highly (M = 4.86, SD = 0.29), and students reported very high satisfaction (M = 4.94, SD = 0.14). These findings support the kit’s effectiveness as an engaging and pedagogically sound tool for developing music note recording skills in higher education settings. 
Data-Driven Imagination Genre Clustering of Anime Content to Inspire Culturally Rich Metaverse Spaces Chantanasut, Thaworada
International Journal Research on Metaverse Vol. 2 No. 3 (2025): Regular Issue September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i3.33

Abstract

The growing demand for culturally immersive experiences in virtual environments has highlighted the importance of integrating narrative-driven content into metaverse design. This study applies a data-driven clustering approach to categorize 2,000 anime titles based on genres, themes, audience demographics, and user engagement metrics such as score, number of users, and member count. Using K-Means clustering and Principal Component Analysis (PCA), five distinct clusters were identified, each reflecting unique narrative typologies and audience preferences. The resulting clusters reveal meaningful thematic patterns: Cluster 0 emphasizes action and adventure with an average score of 8.56 and over 1 million members; Cluster 1 is centered around fantasy and supernatural elements with a dominant Shounen demographic; Cluster 2 comprises psychological and sci-fi anime with high intellectual engagement; Cluster 3 features emotionally resonant titles like romance and slice of life with the highest average score of 8.78; and Cluster 4 presents genre-diverse content with a focus on comedy and school life. PCA visualization confirmed the coherence of these groupings in two-dimensional space, and genre frequency analysis showed that Action, Comedy, and Drama were the most prevalent across the dataset. The findings offer actionable insights for culturally intelligent metaverse development, proposing each genre cluster as a thematic blueprint for designing distinct virtual environments. These results demonstrate how narrative clustering can bridge media analytics with user-centered virtual worldbuilding.