A PRISMA Review of Research on Music Practice

2021 ◽  
pp. 102986492110055
Author(s):  
Ee Ran How ◽  
Leonard Tan ◽  
Peter Miksza

We employed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method to systematically review research on music practice from 1928 until June 2020 and identified a total of 3,102 records using our inclusion criteria, of which a total of 296 were eventually selected for the final analysis. We tabulated percentages and frequencies of (a) publications in ten-year periods, (b) type of publications, (c) sampling by geographical location, (d) methodologies used, (e) the top tenth percentile of the most highly cited research, and (f) topics covered. Our analyses reveal that particularly strong growth occurred in the literature between 2000 and 2020. In the literature we retrieved, the most commonly sampled research participants were those in the United States, followed by the United Kingdom and Australia. Quantitative research designs were most prevalent, accounting for two-thirds of all studies reviewed (66.2%), with questionnaires and recordings being the most common methods of data collection. Non-empirical papers (17.5%) as well as studies incorporating qualitative (13.5%) and mixed-methods designs (3.1%) were much less prevalent. Ericsson et al.’s (1993) seminal study of deliberate practice, Driskell et al.’s (1994) review of the research literature on mental practice, and Sloboda et al.’s (1996) study of young musicians were by far the most often cited. Overall, the most common topics addressed were deliberate practice, practice strategies, mental practice, the benefits of practice, metacognition, self-regulation, and self-efficacy, suggesting that music practice is a rich, multifaceted, and complex activity. In light of the findings, recommendations for practice and implications for future research are provided.

Author(s):  
Joshua Wilson ◽  
Gilbert N. Andrada

Writing skills are essential for success in K-12 and post-secondary settings. Yet, more than two-thirds of students in the United States fail to achieve grade-level proficiency in writing. The current chapter discusses the use of automated essay evaluation (AEE) software, specifically automated feedback systems, for scaffolding improvements in writing skills. The authors first present a discussion of the use of AEE systems, prevailing criticisms, and findings from the research literature. Then, results of a novel study of the effects of automated feedback are reported. The chapter concludes with a discussion of implications for stakeholders and directions for future research.


2021 ◽  
Author(s):  
Jeremy Y. Ng

Abstract Background: Cannabis refers to a flowering plant in the family Cannabaceae, which has been used medically, recreationally, and industrially. The history of cannabis has been both long and complex, however, the last few decades have seen a large increase in the volume of literature on this topic. The objective of the present bibliometric analysis is to capture the characteristics of peer-reviewed publications on the topic of cannabis and cannabinoid research.Methods: Searches were run on April 02, 2021, and results were exported on the same day to prevent discrepancies between daily database updates. Only “article” and “review” publication types were included; no further search limits were applied. The following bibliometric data were collected: number of publications (in total and per year), authors and journals; open access status; journals publishing the highest volume of literature and their impact factors; language, countries, institutional affiliations, and funding sponsors of publications; most productive authors; and most highly-cited publications. Trends associated with this subset of publications were identified and presented. Bibliometric networks were constructed and visualized using the software tool VOSviewer.Results: A total of 29 802 publications (10 214 open access), published by 65 109 authors were published in 5474 journals from 1829 to 2021. The greatest number of publications were published over the last 20 years. The journal that published the largest number of publications was Drug and Alcohol Dependence (n=705). The most productive countries included the United States (n= 12 420), the United Kingdom (n=2236), and Canada (n=2062); many of the most common intuitional affiliations and funding sponsors also originated from these three countries.Conclusions: The number of publications collectively published on the topic of cannabis follows an upward trend. Over the past 20 years, the volume of cannabis research has grown steeply, which can be largely attributed to the existence of a large amount of funding dedicated to research this topic. Future research should continue to investigate changes in the publication characteristics of emerging cannabis research, especially as it is expected that the body of publications on this topic is expected to rapidly grow.


2022 ◽  
Vol 2022 ◽  
pp. 1-14
Author(s):  
Jianhua Dai ◽  
Jingxin Xu

Mobile Internet-based intelligent media has become a popular academic topic. This study uses the CiteSpace visualisation tool and Scientific Citation Index Expanded database to comb the existing research in the field of intelligent media from a quantitative perspective. A total of 7248 English papers were published on the topic of “intelligent media” from 2012 to 2021, and 145 highly cited papers refined were analysed. Scientific knowledge graphs were analysed from six dimensions: annual publication quantity, country of publication, institution of publication, author, keywords, and cited references. In the last 10 years, the research literature on intelligent media has been found to increase annually. Presently, the People’s Republic of China and the United States of America have a high proportion of documents in this field. Chinese universities and institutions have achieved significantly in terms of the quantity and quality of documents. From the perspective of the whole intelligent media discipline, the high-yield author group has not been formed, and there is minimal cooperation amongst authors. Popular intelligent media topics include film, social media, machine learning, swarming motility, data mining, and artificial intelligence. Subject words of the main research directions are event recognition, fake news, Cable News Network model, reconfigurable intelligent surface, comprehensive survey, microblog message, strain sensor, and traffic event. Combined with popular topics and time zone maps, the future research frontier in the field of smart media is identified.


2019 ◽  
Author(s):  
Ya Hu ◽  
Jichang Han ◽  
Zenghui Sun ◽  
Huanyuan Wang ◽  
Xiang Liu ◽  
...  

AbstractSoil is an important part of the ecosystem with significant roles that help human population sustain. Research on prevention and remediation of soil pollution has been carried out when 1985. This study analyzed the 1988–2018 soil remediation dataset in the Web of Science database by bibliometric methods to illustrate the current research trends and hot topics of quantitative analysis and soil remediation in the world. To further identify the major soil contamination topics, we employed social network analysis. The results indicate that the field of soil remediation has entered a stage of rapid progress. The United States has a strong overall strength with the largest number of published articles and larger impact. China ranks second. We identified Journal of hazardous materials as the most influential journal and Chinese academy of sciences as the most influential institution. Academic cooperation showed an increasing trend at the author, institutional, and national levels with an average level of cooperation of 3.57, 1.66, and 1.16, respectively. However, the growth rate of cooperation at the national level is relatively low. In addition, the frequency and co-word analyses of keywords revealed the important research topics. “heavy metals”, “PAH”, “bioremediation”, “Phytoremediation” and “Electrokinetic remediation” were identified as the hot topics. The findings of this study will help researchers understand the status of soil remediation as well as provide guidance for future research.


2020 ◽  
pp. 102986492093845
Author(s):  
Manuel Längler ◽  
Markus Nivala ◽  
Jasperina Brouwer ◽  
Hans Gruber

To become an expert in music, an individual goes through different phases of deliberately practising domain-specific activities with the support of actors within his or her network. These network actors are often referred to in the research literature as “persons in the shadow,” because they are for the most part unnoticeable to an audience. Systematic research on popular music does not touch upon who these persons in the shadow are and how they support deliberate practice. Therefore, the aim of this study was to examine which network actors have supported popular musicians to deliberately practice their craft during childhood, the period of apprenticeship, and throughout their careers, along with the type of support that was provided. A mixed-method egocentric network analysis, combined with quantitative and qualitative analyses of data from interviews with five experts and five intermediate-level popular musicians, has shown that band members and instrumental teachers were perceived as being most supportive of musicians’ deliberate practice during childhood and period of apprenticeship. However, during the musicians’ careers, band members were perceived as being most supportive. Experts differed from intermediate-level musicians as follows: (a) experts had contact with a larger pool of band members and instrumental teachers during their careers; (b) their networks, especially of band members in different formations and instrumental teachers, changed constantly and frequently throughout their careers; (c) they were regularly confronted with unfamiliar musical content, which expanded their musical knowledge. In this article we suggest that future research should investigate how change in networks influences deliberate practice and the acquisition of expertise.


Medicina ◽  
2019 ◽  
Vol 55 (1) ◽  
pp. 5 ◽  
Author(s):  
Dharam Persaud-Sharma ◽  
Joseph Burns ◽  
Jeran Trangle ◽  
Grettel Castro ◽  
Noel Barengo ◽  
...  

Background and objectives: Glial brain cancers affect nearly 20,000 individuals in the United States (USA) annually. SEER database data exploring the relationship between race and gliomas is now available and have shown that cerebral gliomas occur at a higher frequency in Caucasian men. However, such analyses did not include demographic data specific to the state of Florida. This study assessed the association between race and glial vs. non-glial Central Nervous System (CNS) cancers in Florida, USA. Materials and Methods: This case-control study utilized the Florida Cancer Data Registry (FCDS), in which race was considered the exposure and development of glioma as the measured outcome. The sample was comprised of patients in Florida diagnosed with brain tumors from 1981 to 2013. Relative racial frequencies were compared between patients with glial brain tumors and those with other CNS tumors. Data was analyzed using logistic regression in order to determine any associations between race and frequency of diagnosis adjusting for several confounders (age, sex, smoking status, year of diagnosis, and insurance status). Results: Between 1981 and 2013 a total of 14,092 patients meeting the inclusion and exclusion criteria were diagnosed in Florida with a primary brain tumor. Being of non-white race was associated with 60% decreased odds of glioma diagnosis compared to the reference white population (adjusted OR 0.4, 95% CI 0.34–0.47). Secondary findings include associations between increasing age and male sex with increased odds of glioma diagnosis. Decreased adjusted odds of glioma diagnosis were found with former smoking status (reference non-smokers), diagnosis between 2001 and 2010 (reference 1981–1990), and Medicaid or Medicare insurance (reference private insurance). Hispanic ethnicity, current smoking status, no insurance/self-pay, and geographical location (urban vs. rural) all had no association with glioma diagnosis. Conclusions: These findings are consistent with and help reinforce previous studies utilizing national databases (SEER) which also showed increasing odds of glioma diagnosis in older white males. Various potential explanations for these findings include genetic predisposition, lifestyle and behavioral factors, and socioeconomic status, including access to healthcare. Future research aims at identifying potential genetic etiologies.


Author(s):  
Jeremy Y. Ng

Abstract Objectives St. John’s wort (Hypericum perforatum) has been used in traditional medicine for centuries for different conditions, including kidney and lung ailments, insomnia, depression, and to aid wound healing. The objective of the present bibliometric analysis is to capture the characteristics of research publications on the topic of St. John’s wort. Methods Searches were run on April 09, 2021, and results were exported on the same day to prevent discrepancies between daily database updates. Trends associated with this subset of publications were identified and presented. Bibliometric networks were constructed and visualized using the software tool VOSviewer. Results A total of 1,970 publications were published by 5,849 authors across 961 journals from 1859 to 2021. Beginning in the late 1990s, a steep increase was found in the volume of publication on this topic. The journal that published the largest number of publications was Phytotherapy Research. The most productive countries included Germany and the United States. Conclusions The present study provides the characteristics of the St. John’s wort literature that allows understanding of the past, present, and future of research in this area. It is a useful evidence-based framework on which to base future research actions and academic directions.


2012 ◽  
pp. 438-451 ◽  
Author(s):  
Erin O’Reilly

This paper summarizes a qualitative, exploratory research project using archival data from language counseling reports written for adult, Arabic foreign language learners (N = 19) enrolled in weeks 1 – 10 of an intensive, academic Arabic language program at a West Coast school in the United States who attended a language counseling session at a self-access center. The goal was to analyze reports for possible trends in students’ needs using Oxford’s (2011) Strategic Self-Regulation (S2R) model as a framework to better inform targeted strategy instruction for this population. The study used a two-cycle coding method. Descriptive codes were developed using a constant-comparison approach for first cycle coding. An axial coding approach was used for the second cycle, where the descriptive codes were collapsed into four major themes analyzed using frequency counts. Results indicated that students struggled with vocabulary, aural input discrimination, study management, and stress. Discussion includes practical applications for language counselors. Limitations and suggestions for future research related to trend analysis and the S2R model in language counseling are discussed.


2021 ◽  
Author(s):  
Desheng Xu ◽  
Ke Yang ◽  
Wei Duan

Abstract This paper analyzes the research characteristics and development context of carbon emissions in the steel industry, which will provide reference for future carbon emissions research and practice in the steel industry in China. Based on the “Web of Science Core Collection” (hereinafter referred to as SCIE) database, this paper used CiteSpace software to make a bibliometric analysis of the literatures related to carbon emissions in the steel industry from 1991 to 2020 in terms of countries and regions, major publishing institutions, high-yield authors, keywords and time zone views. The results show that: 1) Scholars and research institutions in different countries and regions form a close cooperation network according to their geographical location;2) The research forces with China, the United States, the United Kingdom and Japan as the core have provided key research support and contributed major research results to the carbon emission field of the steel industry;3) Climate change, production technology and future scenario analysis are the three main research topics;4) In the future research stage, the comprehensive application of various disciplines such as technical and economic analysis, scenario analysis and environmental climatology will become the forefront of the research on carbon emissions in the steel industry.


2008 ◽  
Vol 102 (10) ◽  
pp. 621-635 ◽  
Author(s):  
Cynthia Owsley ◽  
Gerald McGwin

This article reviews the research literature on driving and age-related macular degeneration, which is motivated by the link between driving and the quality of life of older adults and their increased collision rate. It addresses the risk of crashes, driving performance, driving difficulty, self-regulation, and interventions to enhance, safety, and considers directions for future research.


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