The effect of participation in a popular band program on students’ musical and extra-musical outcomes in Korea

Jung, Joo Yeon; Shin, Jihae; Lee, Soojin

doi:10.1177/0255761420914668

Cited by 2 publications

(1 citation statement)

References 28 publications

(43 reference statements)

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“…Jung et al propose a large number of pop music listeners can determine the development trend of pop music to a large extent, which is mainly reflected in the impact of the behavior of many listeners on the main music platforms, such as audition, collection and download, on pop music, which reflects the audience's preference and preference for corresponding music [18]. Fautley suggests that with the 2 Journal of Function Spaces further development of major music platforms and the scale of music market, the gap between the scale of music libraries will gradually narrow, and the role of the scale of music libraries in user selection will be basically the same [19].…”

Section: Research Status Of Music Pop Trend Predictionmentioning

confidence: 99%

Prediction Model of Music Popular Trend Based on NNS and DM Technology

Wang

Chen

et al. 2022

Journal of Function Spaces

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The popular trend of today’s music can be obtained by deep excavation, analysis, and prediction of the audience’s preferences. Using huge music library resources and user behavior to form music big data and truly realizing the aggregation of audience preferences determine the popular development trend of music. Therefore, this paper will apply data mining (DM) technology, introduce neural network (NNS) theory, establish a prediction model of music fashion trend, predict and evaluate the music fashion trend according to the selected evaluation index, find the change of music fashion trend in time, and provide decision-making basis for music fashion trend. In this paper, the prediction of music popularity trend based on NNS and DM technology is studied. In the prediction of the number of songs played by 10 artists, the NNS algorithm proposed in this paper reduces the prediction effect from the original 0.074 and 0.045 to 0.044 and 0.032, respectively, and the error rates are reduced by 35.7% and 29.4%, respectively, compared with the learning algorithm and the decision tree algorithm. Among the three methods, the NNS algorithm in this paper has the highest accuracy. Therefore, it can be proved that the model proposed in this paper is more suitable for predicting the trend of music popularity. In the end, it can accurately control the trend of pop music and also realize the aggregation of user preferences to determine the trend of pop music.

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Section: Research Status Of Music Pop Trend Predictionmentioning

confidence: 99%

Prediction Model of Music Popular Trend Based on NNS and DM Technology

Wang

Chen

et al. 2022

Journal of Function Spaces

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Ghanaian collegiate music students who play brass instruments’ music education experiences at the pre-tertiary level

Spears,

Dordzro

2023

International Journal of Music Education

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In this qualitative study, we share the musical experiences of seven Ghanaian university music students who primarily play a brass instrument in a university band. The purpose of this study is to illuminate these students’ musical experiences during their pre-tertiary years to better understand what those experiences were and how they impacted their current musical abilities and understandings. The research questions for this study are: What were the formal musical experiences of Ghanaian university music majors who play Western-style brass instruments before entering university? What music teaching and learning methods did they experience prior to entering university? Who were the people who taught them music prior to entering university? Findings indicate that musical spaces were mostly outside of the regular school curriculum, including extra-curricular school regimental bands, church brigades, and town bands. Music learning was non-sequential throughout students’ pre-tertiary experiences. Lack of access to instruments outside of rehearsals was a barrier to individual practice. Participants showed a lack of clarity about their music teachers’ credentials, experience, and backgrounds but their answers suggest that professional development and training programs for teachers would be beneficial. It is recommended that Ghanaian brass band music education is restructured in places where it already exists and where pre-tertiary students choose to play, to include more comprehensive and sequential instrumental music education.

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The effect of participation in a popular band program on students’ musical and extra-musical outcomes in Korea

Cited by 2 publications

References 28 publications

Prediction Model of Music Popular Trend Based on NNS and DM Technology

Prediction Model of Music Popular Trend Based on NNS and DM Technology

Ghanaian collegiate music students who play brass instruments’ music education experiences at the pre-tertiary level

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