Influence Of Music Research Articles

Examining Elementary General Music Teaching Practices Through a Reggio Emilia Lens

Abstract Elementary general music teachers (N = 280) from Colorado, Idaho, Montana, Utah, and Wyoming completed the Characteristics of Elementary General Music Teaching questionnaire. Responses were analyzed for congruence between current teaching practices and three components of the Reggio Emilia Approach (REA) to education: child as protagonist, documentation of learning, and the hundred languages. Overall, respondents described teaching practices that reflect some, but limited, congruence with the REA. Teachers collect some types of student artifacts, display evidence of student learning in certain forms, adapt instruction based on observation of students, provide students opportunities to translate between symbolic systems, and demonstrate a student-centered approach to music education by modifying their teaching practices at the student, class, grade, or developmental level. Variance in the congruence between teaching practice and the concepts of documentation and symbolic translations could not be explained by education level or general music pedagogical influence. Suggestions are shared for elementary general music teachers to engage in critical self-reflection of their teaching practice through a Reggio Emilia-inspired lens. The review of literature and this study demonstrate a need for further research on Reggio Emilia-inspired music education; suggestions are included.

Jammin' the Blues: Experiencing the "Good Life".

The purpose of this study was to examine the characteristics, attitudes, and perceptions of older musicians who participated regularly in a local blues jam. Six core dimensions of eudaimonic well-being and their conceptual foundations provided a framework for examining the way that music-making contributes to subjective well-being during the lifespan of an individual. The following research questions guided this investigation: (1) In what ways do biographical factors and engagement with music influence the lives of older adult blues/rock musicians who participate in a local blues jam? (2) What implications for subjective well-being with regard to music learning might be used to inform music education practices? Interviews and observations over a 2-month period provided data for understanding how lived experiences impacted personal well-being, and musical growth and development over time. Findings suggested that eudaimonic well-being is the result of active engagement in human activities that are goal-directed and purposeful, and a good life involves the self-realization of individual dispositions and talents over a lifetime. Implications for music education include individualized pedagogical approaches that encourage learners to discover a sense of well-being in and through music.

Analysis of music influence on order preference based on TOPSIS algorithm

Music, as a cultural treasure, is currently difficult to accurately measure its influence due to its special nature. In order to solve this problem, an evaluation model based on TOPSIS is proposed. The influence of music is defined as the combination of the number of followers and the number of followers of the same genre as the influencer, and then the TOPSIS method is used to quantitatively analyze the influence of music. By establishing the original data matrix of relevant music characteristics, and then forward and normalize the data matrix, calculate the distance between the data and the optimal solution and the worst solution, and obtain the quantitative score of the music influence value, a right Accurate measurement of music influence is realized.

PENGARUH MUSIK KLASIK DAN PREFERENSI PRIBADI TERHADAP TEST ANXIETY DAN HASIL TES MEMBACA KOMPREHENSIF SISWA [THE EFFECT OF CLASSICAL MUSIC AND PERSONAL MUSIC PREFERENCE ON TEST ANXIETY AND READING COMPREHENSION TEST RESULTS

<p class="1eAbstract-text">Music is part of human life. Studies show that music influences psychological, cognitive, behavior, and emotion sides of human being. Research shows that music also influences students’ performance on reading comprehension test and test anxiety level. The purpose of this study is to investigate the effect of classical and personal preference music on students’ reading comprehension test performance and test anxiety level at grade XII SMAK 4 PENABUR Jakarta. The experiment design of this study is Pretest Posttest Non-Randomly Assigned Design. The students in experiment group get a treatment that is listening to classical music fifteen minutes before and while doing reading comprehension test. Students in another experiment group get a treatment that is listening personal preference music fifteen minutes before and while doing reading comprehension test in English class. Mean obtained from pretest and posttest of experiment class will be compared with mean from pretest and posttest of control class to explain whether or not they are statistically different. The study shows that classical and personal preference music influence students’ reading comprehension performance and test anxiety. Study also shows that there is negative correlation between students’ test anxiety and reading comprehension performance.</p>

Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering

This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. Secondly, the multiobjective logistic regression is used to construct the music similarity measurement model and, combined with music influence and music similarity, to judge whether the influence of different musicians is the actual influence. Thirdly, the influence and similarity of the same music genre and different music genres are analyzed by using the two-way cluster analysis method. Finally, the lasso region is used for feature selection to obtain the change factors in the process of music evolution and analyze the dynamic changes in the process of music development. Therefore, this paper uses network science to build a dynamic network to analyze the similarity of music, the evolution process, and the impact of music on culture, which has certain research significance and practical value in the fields of music, history, social science, and practice.

Familiarity with music influences stride amplitude and variability during rhythmically-cued walking in individuals with Parkinson's disease.

Entrainment of walking with rhythmic auditory cues (e.g., metronome or music) induces gait improvements in people with Parkinson's disease (PD). However, evidence regarding acute impacts of music cues on parkinsonian gait is lacking. Findings in healthy adults imply that familiarity with music cues modulates stride amplitude and stride-to-stride variability; yet the role of familiarity with music on parkinsonian gait remains unknown. To investigate 1) whether familiar and unfamiliar music cueing differentially influences stride and arm swing amplitude and stride-to-stride variability, 2) how stride and arm swing amplitude and stride-to-stride variability are altered by enhanced familiarity with music by repeated listening and walking during rhythmically-cued walking in persons with PD. Twenty individuals with idiopathic PD (mean age = 68.9 years, 7 females, H&Y stage 1-3) walked in time with familiar and unfamiliar music cues (Session 1). Participants then repeatedly listened and walked to the same familiar and unfamiliar music cues (Session 2). Spatiotemporal gait parameters in each 2-min trial were recorded with motion capture wearable sensors. In Session 1, gait velocity, stride length, arm swing peak velocity and range of motion, and stride-to-stride variability increased with both music cues compared with baseline; stride length, enjoyment and beat salience were greater in familiar than unfamiliar music cues. In Session 2, repeatedly listening and walking to unfamiliar music, but not familiar music, increased gait velocity, stride length, familiarity, enjoyment, and beat salience, and reduced stride-to-stride time variability. Music cues in general induced acute improvements of stride and arm swing amplitude but not stride-to-stride variability, and enhanced familiarity with music improved stride amplitude and variability along with increased enjoyment and reduced cognitive demand in people with PD. Our findings aid in understanding the role of familiarity with music in alleviating gait disturbance and optimizing music-based interventions for PD.

Preferred musical attribute dimensions underlie individual differences in music-induced analgesia

Music-induced analgesia (MIA) is a phenomenon that describes a situation in which listening to music influences pain perception. The heterogeneity of music used in MIA studies leads to a problem of a specific effect for an unspecified stimulus. To address this, we use a previously established model of musical preferences that categorizes the multidimensional sonic space of music into three basic dimensions: arousal, valence and depth. Participants entered an experimental pain stimulation while listening to compilations of short musical excerpts characteristic of each of the three attribute dimensions. The results showed an effect on the part of music attribute preferences on average pain, maximal pain, and pain tolerance after controlling for musical attributes and order effects. This suggests that individual preferences for music attributes play a significant role in MIA and that, in clinical contexts, music should not be chosen arbitrarily but according to individual preferences.

Can Music Influence Patients With Disorders of Consciousness? An Event-Related Potential Study.

BackgroundLong-term disorders of consciousness (DOC) are a huge burden on both patients and their families. Previously, music intervention has been attempted as a potential therapy in DOC, with results indicating an enhancement of arousal and awareness; yet, to date, there are limited studies on music interventions in DOC with electroencephalogram monitoring. Meanwhile, prediction of awareness recovery is a challenge facing clinicians. The predictive value mismatch negativity (MMN), as a classical cognitive component in event-related potential, is still controversial. In this study, we use auditory event-related potential to probe the effect of music in DOC, and investigate whether music may improve the predictive value of MMN in awareness recovery.MethodsFourteen DOC patients were included in the prospective study. Auditory oddball electroencephalogram data were recorded twice with each patient, before and after 5 min of listening to a Chinese symphony that has joyful associations. The outcome was assessed 6 months later.ResultsSignificant differences of MMN amplitude were found between healthy controls and pre-music DOC patients (p < 0.001), but no significant differences were found between healthy controls and post-music DOC patients. The presence of MMN before music was not correlated with favorable outcome, and 50% of patients with MMN did not recover awareness. When MMN was absent, 50% of patients awoke. After listening to music, among the 11 patients who showed MMN, seven patients recovered awareness. When MMN was absent, no one recovered awareness.ConclusionsSome DOC patients, even those in a minimal consciousness state and those with unresponsive wakefulness syndrome (UWS), were affected by music. The MMN amplitude was elevated by the music to some extent. A single test of MMN did not have a good prognostic value of our study; however, retesting of MMN after stimulation with familiar music that has joyful associations might be valuable for observation and detection of possible recovery. The musical processing in DOC patients and the effect of musical therapeutic practices need further investigations.

Relationship between Watching ‘Gengetone’ Music and Drug Abuse among the Youth in Uasin Gishu County, Kenya

Drugs, substance and alcohol abuse by many youths is as a result of various factors. Research conducted in the past have looked at how mass media channels (video and TV) and their influence on abuse of drugs and other substances among the youth. The purpose of this paper is to investigate how drug-related information portrayed on Gengetone music influences drugs and substance abuse among youths in Eldoret town. The research objectives were to investigate how the acceptability level of ‘Gengetone’ music and videos among youths, to examine ways in which ‘Gengetone music lyrics communicate information on drugs, substance and alcohol abuse and establish the effect of listening of Gengetone music on drugs and substance abuse among youths in Uasin Gishu County. The study adopted George Gerbner’s Cultivation Theory. The study utilised descriptive survey. Questionnaires and interviews were utilised to collect data from selected youths aged 20 – 30 years residing in Eldoret town four estates numbering 80 and one county officer in charge of NACADA North Rift office. Analysis of data was done through qualitative (content analysis method) and quantitative approaches (descriptive statistics); The study found out that indeed lyrics, images and videos contained in some Gengetone music promoted drugs, substance and alcohol abuse by young people in the study area. This means that music preference performed a significant role in determining the level of drugs and substance abuse by youth in Eldoret town. This calls for stakeholder involvement in educating the upcoming artist on the importance of developing Gengetone music that is clean and creates awareness on the dangers of youth addiction to drugs, other substances and alcohol.

The Influence of Different Genres of Music on the Performance of Medical Students on Standardized Laparoscopic Exercises

Whether and how music influences the performance of surgical procedures such as laparoscopy is unclear and can be feasibly determined using laparoscopic box training tools under standardized conditions. The aim of this prospective study is to evaluate the effect of different genres of music on the performance of laparoscopic novices. Between May 2018 and December 2018, n = 82 students (38 male, 44 female) from Heidelberg University Medical School performed 3 different laparoscopic exercises (A, B, C) from the "Luebecker Toolbox" with 2 repetitions each under standardized conditions. Time was recorded for each exercise. The students were assigned either to one of four groups, each of which was exposed to a compilation of music from 1 genre (hip hop, classical, rock, or mixed radio music), or to a fifth, control group, without exposure to music. The music was played at a constant sound pressure level of 70 decibels . Each group was compared with the others using a t-test for independent samples. Exposure to music generally led to better performance compared with the control group. Compared with exposure to mixed radio music or to rock, significantly better performance could be demonstrated for exposure to classical music in Exercise B, with an average exposure time of 127 s needed (± 21.4; p < 0.05). No significant differences could be demonstrated for Exercise A, though for classical music, best performance was possible with 120 s (±17.3) of exposure. In Exercise C, hip hop triggered significantly better performance than rock or radio music (p < 0.05). At an sound pressure level of 70 decibels, exposure to classical music or hip hop appears to have beneficial effects on training performance for surgical novices under standardized conditions.

Rehearsal Sound Exposure and Choir Singers’ Hearing: A Pilot Field Study

This original pilot field study investigates the feasibility of data collection and hypothesis testing of singers' hearing within the rehearsal environment. 18 professional choir singers are examined for hearing threshold changes following routine rehearsal sound exposure. Pure Tone Audiometry is measured before, immediately after, and approximately 24 hours after rehearsal. This study does not identify definitive Temporary Threshold Shift in this population under these conditions. That said, mean temporary threshold shift was found 3.61 dB higher than the recovery threshold shift in the right ear at 3000 Hz (P = 0.06), and this may be important to look at for future studies. Methodological challenges of this field study include dynamic experimental conditions intrinsic to the rehearsal process, environmental and musical influence on Pure Tone Audiometry results and estimation of sound intensity exposure.

PENGARUH MUSIK INSTRUMENTAL TERHADAP KUALITAS HIDUP PADA PASIEN GAGAL GINJAL KRONIK YANG MENJALANI HEMODIALISA

Chronic renal failure or late-stage renal disease is a progressive and irreversible disorder of renal function (the body fails in maintaining metabolism and balance of fluids and electrolytes), thereby causing uremia (retention of urea and other nitrogen waste in the blood). Treatment of kidney failure disease can be done by pharmacological and non-pharmacological means. Non-pharmacological treatment can be in the form of the provision of instrumental music. This study aims to find out the influence of instrumental music on quality of life in chronic kidney failure patients undergoing hemodialysis at the Royal Prima Hospital Medan. This type of research is pre-experimental research with a one-group pre-post-test design with the provision of instrumental music for 20 minutes. The population is 66 people and sampled as many as 20 people with accidental sampling techniques. The analysis used in using Wilcoxon test. Based on the calculation of the Wilcoxon signed-rank test, obtained Z= - 3,938 with (p=0.000) &lt; 0.05, so it can be concluded that there is an instrumental music influence on the quality of life in chronic renal failure patients undergoing hemodialysis at Royal Prima Medan Hospital in 2018. It is recommended that instrumental music can be applied as an alternative therapy to improve the quality of life.

Analysis of Music Development in the Past 90 Years

From classicism to romanticism to the diverse development of today, music has become an inseparable part of human society. In fact, an artist will be affected by many factors when creating new music. It is undeniable that many songs have many similarities, and due to the mutual influence of artists, with the development of time, the music type has undergone a major change. In our Index Weight Analysis Model, we first analyzed the consistent relationship between music indicators and music influence. Then we use the extreme value method for dimensionless processing of the original data and calculate the correlation coefficient. In order to eliminate the impact of the resolution coefficient on the accuracy of our subsequent calculations, we use the distance between the two points to calculate the weight coefficient, and finally calculate the weighted correlation degree, which is Music Influence. In the end, we found the musicians with the highest musical influence among the 20 genres, and drew a directional network using a musician as an example. Also, we use the same method to analyze the contribution of each indicator to music influence and we find that the biggest contribution is Tempo.

Evaluating the Influence and Evolution of Music Based on Complex Network

For Task Ⅰ, first we use "influence data" for network analysis, and conclude that influencers will have an impact on most followers. Then the weight of each index is obtained by using the grey comprehensive evaluation method, and the "music influence" evaluation model is obtained.Later, first, the data in "full_music_data" is screened; Principal component analysis is used to reduce the dimension and normalize the data; Pearson correlation analysis is used to get the correlation between each two songs. If the correlation degree is greater than 0.9, the two songs are considered to be similar. Taking three fields as the research object, the mapping analysis shows that there are great differences in the degree of internal and external similarity in different fields. For example, compared Country with R&B, the artists of the genres are more similar, and compared Country with Jazz, the artists of the genres are more similar.

Research on Music influence based on Principal Component Analysis

This paper mainly studies the data related to music in depth. The paper measure the impact of music by creating a directed network. The paper also develop measures of music similarity, analyze the influencing factors of music, and study the evolution of music. The paper have grouped the seven small questions into four large sections so that they can be studied in greater depth and clarity. In the first section, firstly, The paper create a directed network of music influence, and express the directed influence relationship by followers pointing to influencers, and then get the adjacency matrix. Secondly, the paper introduce the idea of between centrality and eigenvector centrality to quantify the musical influence index of artists with different meanings. The paper also come up with the interesting phrase enduring influence.

A complex directed network model by connecting followers and influencer

Music is important to society, which is a reflection of people’s spiritual world and affects the spiritual world of everyone. In our model, we will quantify the evolution of music based on the data provided. Then we get the reasonable evaluation result of the artists and reveal the evolution process of music. We constructed a complex directed network model by connecting followers and influencers with directed edges based on the influence data. This paper constructs the network structure index from several aspects. The relationship between artists is obtained by extracting subnetworks. Then, entropy method is adopted to determine the weight and construct the evaluation standard of artists’ "music influence".

Research on Music Influence Evaluation System Based on Similarity Measure and Grey Relational Analysis

Music is an important part of the spiritual home of human beings, and it influences every generation with its own unique advantages. This paper explored the influence of music through the establishment of a directed network of music influence and a similarity measurement model, studied the evolution of music, and analyzed the influence process of the evolution. The research in this article explained the influence of music, the influence relationship between musicians and the evolution of music, which could make music develop better. We needed to solve the problems of artist similarity, genre similarity, and musical feature appeal. In this regard, we built a similarity evaluation model, read the music data set, and selected data for the indicators. We used principal component analysis to reduce the dimensionality of the index data, and then calculated the similarity based on Euclidean distance. For artist similarity, we divided it into the same genre and different genres, and we calculated that artists of the same genre were more similar than artists of different genres. For genre similarity, we calculated and drew a heat map of genre similarity. For the appeal of music features, we calculated the correlation between each feature and the popularity index based on the gray correlation analysis, and concluded that valence is the most infectious. This paper made full use of the music data obtained, described and quantified the influence of music from multiple aspects. The model in this paper is reasonable and realistic. The model can also be used to measure the impact of other occupations in society, and has a certain generalization.

Applying Data Mining in Music influences analysis

Nowadays, music has become an indispensable part of our life. Studying the influence and evolution process of music will help to promote the progress of human civilization. The purpose of this paper is to understand and measure the impact of previously produced music on new music and music artists, and to develop a model for measuring the impact of music. Taking music genre as the main body, this paper constructs a directional network of music influence and a sub-network reflecting the relationship between "influencer and follower". In addition, this paper also defines the influence of music, and puts forward the "contagiousness index" to reveal a person's actual influence. Finally, using the parallel coordinate characteristics, the paper analyzes the influence of music on culture in time or environment.

A Knowledge-Based Pilot Study on Assessing the Music Influence

A knowledge-driven approach is proposed for assessing the music influence on university students. The proposed method of modeling and conducting the interactive pilot study can be useful to convey other surveys, interviews, and experiments created in various phases of the user interface (UI) design processes, as part of a general human-computer interaction (HCI) methodology. Benefiting from existing semantic Web and linked data standards, best practices, and tools, a microservice-oriented system is developed as a testbed platform able to generate playlists in a smart way according to users’ music preferences. This novel approach could bring also benefits for user interface adaptation by using semantic Web techniques. Statistical analysis based on the ANOVA method and post-experiment survey data led to the conclusion that music listened has a significant impact on students’ cognitive abilities in various contexts. All obtained results were semantically enhanced by using different conceptual models in order to create a knowledge graph providing support for automated reasoning. Also, a knowledge-based persona Web smart editor was implemented in order to include music preferences for certain categories of the potential users operating a specific interactive system.

The Development Trend of Musicians’ Influence and Music Genres of Big Data

This paper uses the data crawled from the AllMusic website to establish a directional network of followers and influences of music genre artists, analyzes the music influence influenced by genre. The Beatles had the greatest influence from 1950 to 2010, and promoted the development of Pop/Rock and Country music genres. In addition, it was found that “influencers” would actually influence the music created by followers. Based on the music feature data set of 91719 songs provided by Spotify’s API, drawing the correlation heat map and making the measurement of music similarity, it is found that the songs of artists of the same genre are more similar. For the similarity between different genres, by selecting the representative music in the genre and using the music characteristics to analyze their correlation, it is found that Folk and Avant-Garde, New Age and Stage &amp; Screen all have high similarity, reaching 0.97. In addition, songs can also be classified into genres according to music characteristics. For example, if a genre has high performance in livability, speech and explicit attributes, it can be considered as Comedy/Spoken. Finally, combined with the historical reality, it is found that there may be characteristics and music revolutionaries[1] that mark the great revolution of music development.