Enhancing students' understanding and skills on dance music: An action research

Taryana, Tatang; Budiman, Agus; Karyati, Dewi; Julia, Julia

doi:10.18844/cjes.v16i5.6334

Cited by 5 publications

(7 citation statements)

References 39 publications

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“…Dance performance requires much emotional support. From the content of the dance work, the richness of emotion comes from the dancer's experience of the inner world of the character, which forces the dancer to take the initiative to feel and present the emotion of the character (Taryana et al, 2021). As an emotional performance art, it is based on life experience.…”

Section: Related Workmentioning

confidence: 99%

Sentiment Analysis Algorithm Based on Dance Rhythmic and Melodic Features

Chen

2024

ICST Transactions on Scalable Information Systems

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INTRODUCTION: Dance is not only able to strengthen the body but also an expression of art. It can not only express the culture of a nation or a country but also express the emotions of a country. Therefore, it is essential to utilize algorithms for the study of dance rhythm and melodic characteristics in today's world, and introduces a sentiment analysis algorithm for the study.OBJECTIVES: To disseminate our traditional dance culture, carry forward the spirit of our traditional art, enhance the creative level of our dance art, improve the current dance art in our country can not better apply the algorithm, and solve the problem that our current sentiment analysis algorithm can not be combined with art disciplines.METHODS: Use the neural network and deep learning in sentiment analysis to establish a sentiment analysis algorithm adapted; then use the sentiment analysis algorithm to calculate the in-depth filtering of the dance rhythm and melodic characteristics of the research object; finally, the heat map of the dance rhythm and melodic characteristics of the SRD is calculated according to the experiment of the algorithm.RESULTS: The core influencing factors of dance rhythm and melodic features are found to be attention mechanism and LMT through heat analysis (knowledge map); the experimental results using the sentiment analysis algorithm can be found to have a significant mediating effect on the joint enhancement of dance rhythm and melodic sense.CONCLUSION: The development of dance art not only lies in communication and integration but also combination with contemporary computer technology; using sentiment analysis algorithms can better analyze the dance rhythm and melodic characteristics; therefore, the level of algorithm application in the field of dance art should be improved.

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Section: Related Workmentioning

confidence: 99%

Sentiment Analysis Algorithm Based on Dance Rhythmic and Melodic Features

Chen

2024

ICST Transactions on Scalable Information Systems

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“…This research was conducted in three main stages preaction, action, and post-action Julia, Supriyadi, et al, 2020;Taryana et al, 2021). The preaction stage consisted of initial activities to determine the condition of the research subject before the action was given.…”

Section: Research Proceduresmentioning

confidence: 99%

Raising independent-learning awareness: An action research in dance practice course in Indonesia

2022

pegegog

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Students' independent-learning awareness in dance practice course in Indonesia tends to be weak. Most students only do learning during class meetings with their lecturers. This research aims to raise students' awareness of independent learning in dance practice course by optimizing daily assessments needed by students as the basis for self-evaluation in conducting learning outside class hours. Lecturer evaluation notes in this daily assessment format were given to students to be used as a reference in improving the weaknesses of each student's ability to master the course material of each meeting. This research was conducted with an action research design that implements seven stages of critical and reflective learning in a series of three main stages in action research, namely pre-action, action, and post-action. The participants were 37 students at a university in West Java, Indonesia. The research results showed that students in the dance study program did not yet have a high awareness of independent learning. This learning condition has largely influenced the mastery of the keurseus dance material given in the course. However, through action research, we provided treatment to improve students' learning methods so that their abilities can be further improved by applying several critical-reflective steps. This research illustrates the effectiveness of teamwork in finding learning solutions for students in finding effective learning rhythms outside of class hours.

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“…In terms of improving dance students' understanding and processing skills in creating new works in the future, the learning skills of dance students can be enhanced through internal and external exploratory dance learning, especially in terms of skills and understanding of music. This means that by practicing and delving deeper into the art of dance, students can not only improve their creative skills but also deepen their knowledge of the nature of dance and the elements of music [13].…”

Section: Introductionmentioning

confidence: 99%

“…Cong Zhang. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”

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confidence: 99%

The Development Trend of Innovative Teaching of Dance in Colleges and Universities Based on Clustering Algorithm in the Context of Big Data

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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This paper establishes a model for teaching dance innovation in colleges and universities based on big data. Using a clustering algorithm to obtain the characteristics of dance teaching using affiliation assignment calculation to maximize the fuzzy indicators, the dance innovation teaching indicators are divided to improve the assessment accuracy. The optimization of dance teaching assessment indicators is normalized to complete the data processing and clustering in the teaching system and combined with the user preference to divide the student group based on similar characteristics. The results show that 45.00% of the student’s performance ability of physical balance is excellent, and the dance teaching classroom question score is 93. Big data technology can effectively integrate and categorize the existing dance teaching resources in colleges and universities, thus improving the quality of dance teaching.

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Enhancing students' understanding and skills on dance music: An action research

Cited by 5 publications

References 39 publications

Sentiment Analysis Algorithm Based on Dance Rhythmic and Melodic Features

Sentiment Analysis Algorithm Based on Dance Rhythmic and Melodic Features

Raising independent-learning awareness: An action research in dance practice course in Indonesia

The Development Trend of Innovative Teaching of Dance in Colleges and Universities Based on Clustering Algorithm in the Context of Big Data

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