University Dance Research Articles

Design of innovative teaching methods for classical dance based on group intelligence

Abstract Compared with image records, 3D dance scores can realize the demonstration and practice of classical dance teaching more accurately and efficiently. In this paper, the Li group skeletal representation model is used for Li algebra space mapping processing to learn action feature data, classify them, and complete classical dance action feature extraction. Then, the residual network model is used as the backbone network to construct a two-stream spatiotemporal residual network for action recognition by using two different temporal spans and fusing the results of the two-channel networks through side connections. Finally, the group intelligence algorithm group intelligence algorithm ACOR-SGD is designed to optimize the parameters of the convolutional neural network, and then the dance score generation model is integrated into the design of the innovative teaching method of classical dance for the application of the professional teaching of classical dance in colleges and universities. There is basically no significant difference between the pre-test scores of the experimental and control classes. After one semester of applying the innovative teaching method based on the generation of dance scores, the scores of the experimental class in the five items of basic pace mastery, movement fluency, stage presence, technical quality, and coordination of the music rhythm were improved by 4.6, 4, 4.28, 3.63, and 4.72 respectively, and the total score of 81.54 was much higher than that of the control class of 60.57 points posttest scores, and all were significant at the 0.01 level. This study explores innovatively and provides an effective path for integrating dance teaching with cutting-edge information technology, thus improving the quality and efficiency of dance teaching.

Exploring the Path of Innovative College Dance Teaching Models with Motion Capture Technology

Abstract The continuous development of artificial intelligence has brought new exploration paths and ideas for the teaching field, however, the current application and research of motion capture technology in college dance teaching mode is less. In this study, the human body and the appearance model are modeled in three dimensions: the simulated annealing particle swarm algorithm is used to optimize the human body modeling posture. Then, the feature vector matching algorithm is used to capture the human body’s movement posture, construct the college dance teaching mode, and carry out practical application. According to the study, the capture effect of the five movements in the dance teaching classroom video clip is between 0.865 and 0.945, and each movement is recognized with an accuracy of above 95%. After using this model, it was concluded by analyzing the effect of dance teaching that the number of excellent grades in the experimental group was 2 more than that in the control group, and the number of good grades was 2 more than that in the control group. This study provides a new development path for dance teaching in colleges and universities.

Research on the Contemporary Value and Realization Path of Integrating Red Resources into College Dance Teaching in the Internet Era

Abstract In higher education, there is a strong emphasis on integrating ideological resources into the educational process. For majors in dance art, incorporating elements of Latin culture into the curriculum is a significant pedagogical challenge. This study utilizes the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to explore the contemporary relevance of red dance education and its determinants. Using PLS-SEM, we analyzed how red dance education in higher education impacts political identity, cultural self-confidence, and expressive capabilities related to red art among teachers and students. A questionnaire survey was conducted to assess the efficacy of a newly developed teaching resource library for red dance in fostering a deeper integration of red cultural elements into dance education. The findings indicate that red dance teaching positively affects contemporary values related to political identity, cultural self-assurance, and artistic expression, with β coefficients exceeding 0.23 and significance levels at 0.05. The use of the red dance teaching resource library Received positive feedback from 80% of students, with either “relatively approving” or “highly approving” responses. This research provides theoretical support and innovative pathways for the profound integration of red cultural elements into collegiate dance education, thereby enhancing the educational value of red culture within this field.

A Study on the Inheritance of Traditional Dance System by University Dance Performance in the Context of New Media

Abstract Integrating the traditional dance system into the university dance performance course helps optimize the dance performance mode of college students, better cultivate students’ dance disciplinary literacy, and realize the innovative development of the traditional dance system. This paper firstly integrates the traditional dance system into the design framework of teaching resources of university dance performance courses. It constructs a unit-type dance performance teaching mode by combining the characteristics of the traditional dance system. Secondly, taking University Z of City B as the research object, the teaching comparison method is used to verify its teaching effect, the threshold regression model is introduced to explore the influencing factors of the dance performance course, and the parameters of the model are estimated by the least squares method. Finally, the data were used to quantitatively compare the students’ pre- and post-test scores of the modular dance performance teaching, and the threshold regression model of the dance performance course was subjected to benchmark regression and robustness test. The results showed that the experimental group’s mean value of mastery of traditional dance movements reached 87.53±7.05 points, a 31.98% improvement over the control group’s performance. The existence of single and double thresholds of policy prerequisites and subject selectivity on the level of university dance performance course design can realize the integration of traditional dance system and university dance performance course design, and provide a new way to innovate dance movements.

Research on action recognition for college dance teaching based on deep learning

Abstract In this paper, Gaussian modeling is established to perform background subtraction of action feature images of dancers and combined with median filtering to denoise the background of feature images. The cumulative edge feature algorithm extracts relevant features from the dance dataset using the dance itself. Based on this, the directional gradient is introduced to output the extracted dance histogram features and cascade the optical flow histogram feature vectors in all blocks to form the HOF features of the image. The deep learning model is used to design the dance teaching model, and the teaching objectives are determined. The effect of dance teaching is tested through the method of simulation experiments and empirical analysis. The loss value of the model without deep learning is very high, reaching 1.25, and the loss values after convergence of the parametric model using deep learning are 0.85 and 0.95, and the deep learning algorithm has a better optimization effect on the model. The scores of the seven measures of teaching effectiveness are all above 12, and the significance p-value of each indicator is <0.05. The dance teaching effect is significant.

Research on the Promotion and Teaching Methods of Uyghur Dance in Colleges and Universities

Abstract Uyghur dance has a long history and needs to rely on education to inherit. However, the Uyghur dance education in local colleges and universities does not follow the development of the times. Aiming at the situation of Uyghur dance education in colleges and universities, a Uyghur dance pose generation network is constructed. By analyzing the main components and tasks of the autoencoder, the process of extracting music and dance movement features is explored. Combine LSTM to retain the information of dance action features and solve the problem of disappearing dance gradients. Extract the dance video as a sequence of skeletal key points and replace each joint point position with a number accordingly to improve the representation of dance action. The Uyghur dance pose generation network is used to analyze the features of Uyghur dance and propose promotion strategies based on the dance features. The results show that the amplitude and power of female Uyghur dance movements are relatively small, and the distance between joints and points is only [10,90] cm, while the amplitude of male Uyghur dance movements is much larger, and the distance between joints of the point rubbing step is [-10,100] cm. in the promotion of the dance, the degree of validity of the promotion of the combination of modern technology and Uyghur dance is 0.8546. The present study has promoted the reform of Uyghur dance education to some extent. The reform of Uyghur dance education is conducive to the preservation of national traditional dance.

The Mediation Effects of Grit and Engagement in the Relationship between Future-Oriented Goals and Psychological Happiness among University Dance Students

The Mediation Effects of Grit and Engagement in the Relationship between Future-Oriented Goals and Psychological Happiness among University Dance Students

Reform and Innovation of Dance Education in Colleges and Universities in the Internet Era

Abstract This paper firstly proposes the reform strategy and innovation direction of college dance education based on the Internet background of the era and adopts Webwork+Spring+Hibernate to build the overall architecture of the dance education system and designs the functional modules of the dance education system. Then, establish the dance teaching model based on association rules, use the association rule data mining algorithm to mine specific laws to improve the prediction model, and measure the standard of association rules by T test. Finally, the dance education system is tested for operation, compatibility, response time, and application analysis. The results show that the average score of students’ final exam before applying the dance teaching system is 75.23, and the average score of students’ final exam after applying it is 86.12, which is an improvement of 10.89 points, which shows that the dance education system constructed in this paper is able to improve the student’s academic performance, and promote the reform of dance education in colleges and universities effectively, and provide a new direction for the development of dance education in colleges and universities.

Aerobic and Anaerobic Fitness Levels of Pre-Professional Contemporary Dancers: An Exploration of 2 Dance-Specific Field Tests.

The primary aim of this study was to present descriptive heart rate (HR), heart rate recovery (HRR) and RPE data for the DAFT and HIDT within one sample of contemporary dance students. The second aim was to explore if objective (HR) and subjective (RPE) data were correlated between tests. 40 (11 males, 29 females) university dance students with a mean age of 18.8 ± 1.8 years performed the DAFT and HIDT on 2 separate occasions within 1 week. Measurements were HR after 4 minutes in all stages of the DAFT, the percentage of age-predicted maximal HR (%HRmax) of all stages of the DAFT and at the end of the HIDT, and peak HR (HRpeak) at the end of both tests. Subjective ratings of perceived exertion (RPE) and HR recovery after 1 minute of rest (HRR) were determined after the tests. HRpeak of the DAFT and HIDT were 188.1 ± 11.0 and 185.3 ± 7.3 beats·min-1, respectively. There were high positive correlations between HRpeak of the HIDT and stages 3 to 5 of the DAFT (r = 0.716-0.740, all P-values < .01). HRR (r = .678, P < .01) and %HRmax (r = .746, P < .01) showed moderate to high correlations between the DAFT and HIDT. The anaerobic training zone was reached in stages 4 and 5 of the DAFT and at the end of the HIDT. The subjective RPE scores did not significantly correlate between DAFT and HIDT, neither with objective HR data. Although the DAFT and HIDT differ in intensity and work-to-rest ratio, there were high correlations between HR and HRR data of both tests and both tests reached intensities above the anaerobic threshold (%HRmax > 85%).

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

Abstract 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.

컨템포러리 댄스에 대한 무용전공 대학생의 고정된 마인드셋과 동기조절, 연습참여 간의 관계

Objectives The purpose of this study was to investigate whether the mediation effects of motivational regulation in the relationship between students’ fixed mindset of contemporary dance and academic engagement moder-ates by self-efficacy in a university setting.&#x0D; Methods A sample of sample of 325 contemporary dancers recruited from eight universities completed a set of questionnaires measuring their fixed mindset, motivational regulation, self-efficacy, and engagement in dance classes. Data were analyzed using descriptive statistics, correlations, and hierarchical regressions through SPSS PROCESS macro version 4.0(Hayes, 2022) to test the moderated mediation effects of self-efficacy.&#x0D; Results The results of a moderated mediation analysis were as follows: (1)The effect of contemporary dancers’ motivational regulation on engagement in dance class was fully mediated by self-efficacy. (2)The interaction ef-fect of fixed mindset and self-efficacy on motivational regulation was significant, whereas the interaction effect of motivational regulation and self-efficacy on engagement in dance class was insignificant. (3)Self-efficacy sig-nificantly moderated the effect of fixed mindset on engagement in dance class.&#x0D; Conclusions These findings suggest that even though university dance students have a way of thinking that dance ability is not easily changed through practice and learning as innate ability, they should have a strong belief that they can successfully perform the movements during dance class.

Exploring Postsecondary Experiences for Dance Majors in Texas with Backgrounds in Competitive Dance and/Or Drill Team

ABSTRACT The purpose of this qualitative study is to explore the experiences of college dance majors in Texas who have a background in studio dance, competitive dance, or drill team as they navigate the culture of dance in postsecondary education. At this stage in the research, the experience of college dance majors will be generally defined as the benefits and challenges they face, the positive and negative impacts of these challenges and benefits, and the interpretations they have of their existence within the culture of dance in postsecondary education, as well as how they define that culture of dance. Findings from this study show dance majors from this participant pool who had consistently challenging experiences regarding their own integration into postsecondary programs. The conclusion of this study provides a recommendation for postsecondary dance programs to consider curriculum revision to better suit the needs of a significant demographic within their student populations.

Research on Evaluation Model of University Dance Practice Course Based on Dance Flow Theory

This study focuses on the evaluation model of university dance practice courses based on Dance Flow theory. Firstly, through the analysis of the research background, the purpose of this study is clarified, emphasizing the shortcomings of students’ emotional and cognitive development in existing teaching models, as well as the lack of attention to students’ Flow state. Secondly, through literature research, the relevant concepts of Dance Flow theory are defined, exploring the characteristics of Flow state and its importance in evaluating dance practice courses. Thirdly, the significance and challenges of evaluating university dance practice courses are analyzed. Course evaluation can help students and teachers improve their practical abilities and teaching quality. However, there are challenges in formulating scientifically reasonable evaluation criteria and balancing objectivity and subjectivity. Therefore, the study proposes strategies to optimize the evaluation model using Dance Flow theory. Lastly, through the implementation and analysis of the evaluation model, relevant conclusions are drawn. The conclusions include: Firstly, the evaluation model based on Dance Flow theory effectively assesses students’ performance and learning outcomes in dance practice courses. Secondly, the study finds that there are differences in Flow experience and learning outcomes among different students in dance practice courses.

The Construction of a Teaching Ability Evaluation System of Dance Sport Teachers in Colleges under the Background of "Double Ten Thousand Plan"

Background and Aim: According to the requirements of the implementation of the first-class undergraduate course "Double Ten Thousand Program" in China's new era of colleges and universities and the requirements for the cultivation of undergraduate professional talents in dance performance. This research objective was to comprehensively improve the teaching ability of Chinese college dance sports teachers and to realize the rapid development of college dance sports projects. Materials and Methods: This study takes the teaching ability of dance sport teachers in colleges and universities as the research object, and selects dance sport teachers, experts in the field, and high-level athletes in Chinese colleges and universities as the survey objects. Firstly, the evaluation index system of the teaching ability of college dance sport teachers was preliminarily proposed through the method of literature review and expert interview, and then the index was screened and corrected through two rounds of the Delphi method, and finally the formal evaluation index system was obtained, and then the AHP hierarchy analysis was used the method is used to determine the weight coefficients of the evaluation indicators. Result: (1) The final indicators of the teaching ability evaluation system for college sports dance teachers include 4 first-level indicators, namely teaching design ability, teaching implementation ability, teaching evaluation ability, and teaching reflection and innovation ability. 8 second-level indicators and 22 third-level indicators, and the weight of each indicator is determined. (2) In the first-level indicators, the teaching evaluation ability has the greatest weight (0.4428), and the teaching reflection and innovation ability has the least weight (0.0563). The order of the secondary indicators: summative evaluation ability has the greatest weight (0.3633) and teaching reflection ability has the least weight (0.0157). The three-level indicators show that classroom summary ability has the greatest weight (0.2023) and the ability to adjust the teaching process has the least weight (0.0031). Conclusion: The research findings were: (1) There are 34 indicators of the first-level, second-level, and third-level of the teaching ability evaluation system of dance sports teachers in colleges, and the weight of each indicator is determined. (2) Using the constructed evaluation index system for the teaching ability of physical dance teachers in colleges and universities, the total score of two teachers is "average", and the total score of one teacher is Score "Good".

Modern strategies for dance teacher performance management at dance colleges on the example of Central China

ABSTRACT The purpose of the study is to investigate the impact of innovative management strategies on dance teacher performance. The target group in this study consisted of dance teachers and associated managers at dance colleges in Central China. At the qualitative stage, the researchers used a simple random sample of 140 people and an open questionnaire to collect data. At the quantitative stage, they also used a simple random sample (n = 400 under the Yamane formula). The study employed three main research tools: an author’s questionnaire ‘Research on Teacher Management Strategies at Dance Colleges’; expert content evaluation for IOC; SPSS 19.0 for exploratory factor analysis. The authors identified 12 elements of a strategy for managing dance teacher performance (character traits, emotional factors, recruitment, continuing education, performance evaluation, salary distribution, promotion, employee care, group cooperation, individual adaptation for collaboration, satisfaction, and teaching performance). They found a direct correlation between students’ academic results and research activities in university dance colleges. The study confirmed the research hypothesis about a direct relationship between teacher management strategy and educational effectiveness.

대학 무용전공자의 핵심역량에 관한 교육요구도 분석

대학 무용전공자의 핵심역량에 관한 교육요구도 분석

‘It shouldn’t be necessary, but it happens a lot’: Undergraduate contemporary dancers’ perceptions of pain, injury, and fatigue

Contemporary dancers are at risk for musculoskeletal injury due to the choreographic, artistic, and physical demands of the form. Group norms such as persevering through and normalization of pain and injury have been demonstrated within dance contexts and may contribute to the high prevalence of reported injury among dancers. The purpose of this study was to explore contemporary dancers’ perceptions of pain, injury, and fatigue. Ten undergraduate contemporary dance students, self-identifying as women (18-23 years), participated in semi-structured interviews. Interviews were analyzed using reflexive thematic analysis. Four themes were generated: (1) It’s more abnormal for people to sit out than to dance through their injuries; (2) Pain, injury, and fatigue aren’t just physical; (3) Safe dancing environments are important; (4) Implementing dancer health knowledge into practice is complicated. Participants described training and performing through pain and injury, and not always feeling comfortable expressing these experiences to instructors. Pain, injury, and fatigue impacted participants physically and psychologically. Safe dance practice education was viewed as important but challenges implementing knowledge into practice were noted. Continued efforts to integrate safe dance practices into university dance curriculum are needed to help minimize the high prevalence of pain, injury, and fatigue among university contemporary dancers.

무용학과 대학생의 교수행동지각, 과제수행과 안녕감 간의 관계

Objectives The aim of this study were to test whether university dance students’ perception of teaching behaviors influence to well-being via task performance, and whether the mediation effect of task performance should moderated the relationship between perceived teaching behaviors and well-being. Methods Participants were 335 university dance students (57 males, 278 females) aged 19.92±1.57 years. They were recruited to complete the questionnaires assessing perceived teaching behaviors, task performance, well-being, and grit. Data were analysed using descriptive statistics, correlation and hierarchical regression. Results The results of mediation and moderation analysis were as follows; (1) University dance students’ task performance fully mediated the relationship between perceived teaching behaviors and wellbeing. (2) The mediation effect of task performance moderated by the level of perceived teaching behaviors and grit. In the high teaching behavior group, grit had a significant positive prediction effect on task performance. Conclusions The findings demonstrate that dance students with positive perception of teaching behaviors and high grit are more likely to facilitate their well-being in dance classes.

Enhancing the Capabilities of Dance Majors for Effective Performance as Teaching Artists

The primary objective of this study is to analyze the essential competencies and methodical preparation process requisite for university dance major students to successfully transition into society as teaching artists. In this study, open-ended questionnaires and in-depth interviews were conducted with 13 dance majors enrolled at the National University of the Arts in Seoul. These students participated in a project outside of the curriculum, gaining experience as field artists. First, universities must offer subjects that enable students aspiring to become teaching artists to acquire pedagogical knowledge and skills. Second, dance majors should expand their understanding through extensive research on learners. Lastly, an internship system that connects with the field during undergraduate studies is necessary. Consequently, this study aims to propose a direction for the improvement of the existing education system by considering the educational requirements of universities for teaching artists and learners.

무용전공자의 멘토링 경험이 몰입과 그릿에 미치는 영향

The purpose of this study is to investigate the effect of the mentoring experience of dance majors on immersion and grit. In order to achieve the research purpose, 202 university dance major students were selected as research subjects. Data analysis was conducted using spss 18.0, followed by frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and regression analysis to draw the following conclusions.BR First, among the sub-factors of mentoring experience, The role model had a significant effect on cognitive immersion and behavioral commitment. Social support was found to have a significant effect on behavioral commitment.BR Second, among the sub-factors of mentoring experience, The role model had a significant effect on effort continuity and interest consistency. Performance guidance was found to have a significant effect on effort continuity. BR Third, among the sub-factors of immersion, cognitive immersion was found to have a significant effect on effort continuity and interest consistency.BR