Doktorarbeit / Dissertation, 2023
448 Seiten, Note: Distinction
CHAPTER 1
INTRODUCTION AND BACKGROUND TO THE STUDY
1.1 INTRODUCTION
1.2 RATIONALE
1.2.1 MIDDLE AND SECONDARY (HIGH) SCHOOL
1.3 STATEMENT OF THE PROBLEM
1.4 AIMS OF THE STUDY
1.5 OBJECTIVES OF THE STUDY
1.6 RESEARCH QUESTIONS
1.7 RESEARCH METHODOLOGY
1.8 RESEARCH APPROACH
1.9 RESEARCH DESIGN
1.9.1 SAMPLING STRATEGY (RESEARCH PARTICIPANTS)
1.9.2 TRIANGULATION OR VALIDATION OF THE RESEARCH
1.10 DELIMITATIONS OF THE RESEARCH
1.11 ETHICAL CONSIDERATIONS
1.12 VALUE OF THE STUDY
1.13 LAYOUT OF THE THESIS
CHAPTER 2
LITERATURE REVIEW AND THEORETICAL FRAMEWORK
2. GENERAL INTRODUCTION
2.2 DEFINING THE KEY CONCEPTS/TERMINOLOGIES
2.3 LITERATURE REVIEW
2.3.1 INTELLIGENCE AND MUSICAL ABILITY
2.3.2 THE MUSIC APTITUDE OVER DECADES
2.3.3 AUDIATION
2.3.4 MUSIC LEARNING THEORY (MLT)
2.3.5 THE ADVANCED MEASURES OF MUSIC AUDIATION (AMMA)
2.3.6 THE IMPACT OF MUSIC EDUCATION ON ACADEMIC ACHIEVEMENT
2.4. THEORETICAL FRAMEWORK
2.4.1 THE THEORY OF SOUND
2.4.1.1 AMPLITUDE
2.4.1.2 FREQUENCY
2.4.1.3 THE HUMAN EAR
2.4.1.4. NOISE
2.5 THE CULTURAL DIFFERENCES IDENTIFIED IN LANGUAGES EXPLORED THROUGH MUSIC WITHIN A SOUTH AFRICAN CONTEXT
2.5.1 CULTURAL IDENTITY WITHIN MUSIC
2.6 SUMMARY
CHAPTER 3
RESEARCH APPROACH, DESIGN AND METHODOLOGY
3.1 GENERAL INTRODUCTION
3.2 RESEARCH APPROACH
3.3 CONSIDERATIONS FOR USING MIXED RESEARCH METHODS
3.3 DEFINING AND CONCEPTUALISING THE RESEARCH QUESTIONS
3.4 SAMPLE DESIGN AND METHODS
3.4.1 MIXED METHODS APPROACH EMPLOYED
3.4.2 DEFINITION OF MIXED METHODS RESEARCH
3.4.2.1 QUANTITATIVE PHASE
3.4.2.2 QUALITATIVE PHASE
3.5 RESEARCH DESIGN
3.6 RESEARCH METHOD
3.7 DATA COLLECTION METHODS: SAMPLING STRATEGY
3.8 COMPARING METHODOLOGIES OF PREVIOUS STUDIES
3.9 TRIANGULATION OR VALIDATION OF THE RESEARCH
3.10 LITERATURE REVIEW, INTERVIEWS, QUESTIONNAIRES, OBSERVATIONS, CASE STUDIES AND SURVEYS
3.11 SUMMARY
CHAPTER 4
RESULTS: PRESENTATION AND DISCUSSION
4. INTRODUCTION
4.2 DATA CAPTURING AND ANALYSIS
4.2.1 QUANTITATIVE DATA
4.2.2 COMPARING THE FINAL DATA OF THE BOYS AND GIRLS AGED 12 (N=2), LSS
4.2.3 COMPARING THE FINAL DATA OF THE BOYS AND GIRLS AGED 13 (N=2), LSS
4.2.4 COMPARING THE FINAL DATA OF THE BOYS AND GIRLS AGED 14 (N=2), LSS
4.2.5 COMPARING THE FINAL DATA OF THE BOYS AND GIRLS AGED 12 -14 (N=6), LSS
PART OF THE STUDY (QUANTITATIVE)
QUESTIONNAIRE
DATA ANALYSIS OF FURTHER QUANTITATIVE STUDY
YEARS OF TEACHING EXPERIENCES
AGES
QUANTITATIVE RESPONSES
RESPONDENT A
RESPONDENT B
RESPONDENT C
RESPONDENT D
RESPONDENT E
RESPONDENT F
MUSIC TEACHER RESPONSES TO QUESTIONNAIRE
FURTHER QUANTITATIVE STUDY RESPONSES OF 30 MUSIC TEACHERS
4.2.3 QUALITATIVE RESPONSES FROM RESPONDENTS A – F (N=6)
4.2.4 QUALITATIVE - INTERVIEW AND OBSERVATIONS WITH MUSIC TEACHER
4.3 SAMPLE PROFILES
4.4 SUMMARY (CONCLUDING INTERPRETATIONS)
SUMMARY OF QUANTITATIVE STUDY (30 RESPONDENTS)
SUMMARY OF THE RESPONSES TO QUESTIONS 1 - 10 PRESENTED TO THE RESPONDENTS FROM AROUND THE GLOBE:
SUMMARY OF RESPONSES TO COMMENTS MADE MY ALL 30 RESPONDENTS WHO PARTICIPATED IN THIS QUANTITATIVE STUDY
CHAPTER 5
CONCLUSIONS AND RECOMMENDATIONS
5.1 INTRODUCTION
5.2 SUMMARY OF THE STUDY
5.2.1 JANG’S (2000) VERSUS THE RESEARCHER´S (2021) RESEARCH
5.2.2 KARMA’S (1993) VERSUS THE RESEARCHER´S (2021) RESEARCH
5.2.3 MILOVANOV’S (2009) VERSUS THE RESEARCHER´S (2021) RESEARCH
5.2.4 GILLEECE’S (2006) VERSUS THE RESEARCHER´S (2021) RESEARCH
5.3 OVERALL CONCLUSION
5.5 POSITIVE RELATIONSHIPS BETWEEN MUSIC APTITUDE AND MATHEMATICAL ACHIEVEMENT
5.6.1 SIMILARITIES BETWEEN MUSIC APTITUDE AND MATHEMATICAL ACHIEVEMENT:
5.6.2 DIFFERENCES BETWEEN MUSIC APTITUDE AND MATHEMATICAL ACHIEVEMENT:
5.7 LIMITATIONS AND SHORTCOMINGS
5.8 RELEVANCE OF THE RESEARCH
5.9 DIRECT AND PARTIAL INFLUENCES FOR MUSIC APTITUDE AND MATHEMATICAL ACHIEVEMENT
5.10 RECOMMENDATIONS
5.11 CONCLUDING COMMENTS
5.12 RECOMMENDATIONS FOR FUTURE RESEARCH
The study investigates the impact of music aptitude on mathematical achievement among Grade 8 and 9 students at a secondary school in Johannesburg, South Africa, through a mixed-methods lens by employing the Advanced Measures of Music Audiation (AMMA) test to examine the correlation between musical potential and academic performance in mathematics.
1.1 INTRODUCTION
After returning to South Africa and accepting a new position at Liverpool Secondary School, and working with magnet music schools the researcher discovered that students were brilliant in both mathematics, and music. This is a school where the ratio of African students has increased remarkably and produced excellent results overall to the academic demands of the Department of Education and stakeholders of the school. According to the Principal in an interview:
The reason why students were obtaining excellent results is due to the constant commitment, devotion and consistent hard work of dedicated teachers ensuring that most students were ready for their final examinations despite where they came from, their gender, race or culture? Students in comparison to some of the private schools were obtaining 6 – 7 A results for subjects including mathematics. Half of the time these students never had access to extra tuition, study leaders guiding them further but had a high level of perseverance, and competence and continued to progress in obtaining results, which made the school leaders proud of their achievement overall and testimony that anything is definitely possible (Maharaj, 2018).
CHAPTER 1: Provides the orientation, background, and personal motivation for the study, including defining the research questions, design, and methodology.
CHAPTER 2: Presents the comprehensive literature review focusing on intelligence, musical ability, audiation, and the impact of music education, while establishing the theoretical framework based on the "Theory of Sound."
CHAPTER 3: Details the research methodology, including the design, sample selection, data collection instruments, and statistical approaches used for the study.
CHAPTER 4: Presents the primary empirical findings, including the quantitative music aptitude test results of the students and responses from questionnaires, followed by qualitative interview and observation data.
CHAPTER 5: Concludes the thesis by summarizing findings, reflecting on the study’s limitations, and providing specific recommendations for future educational practice and research.
Advanced Measures of Music Audiation, Correlation, Mathematical achievement, Music Aptitude, Rhythm, Tonality, Audiation, Music Learning Theory, Educational performance, South Africa, Secondary education, Mixed research methods, Musical ability, Cognition, Statistical significance.
The thesis explores the potential correlation between music aptitude and mathematical achievement in students to determine if musical skills positively influence academic performance in mathematics.
The study examines intelligence and musical ability, the historical development of music aptitude tests, audiation, the impact of music education on academics, and cultural differences within the South African educational context.
The central question is whether the Advanced Measures of Music Audiation (AMMA) music aptitude test corroborates the mathematical achievement observed in the study's student participants.
The researcher employed a mixed-methods approach using a Sequential Explanatory Design, which integrates both quantitative data gathering (AMMA tests and surveys) and qualitative research (interviews and case study observations).
The work covers a thorough literature review, a theoretical framework centered on sound theory, an analysis of music aptitude tests, the presentation and discussion of student data, and a final section on conclusions and recommendations.
The research is defined by key concepts such as Music Aptitude, Correlation, Mathematical Achievement, Audiation, and Music Learning Theory (MLT) within a South African secondary education context.
The sample consisted of students in Grades 8 and 9 at Liverpool Secondary School in Benoni, Johannesburg, selected for their availability and involvement in the high school classroom setting.
Edwin Gordon’s Music Learning Theory and his specific assessment tools, particularly the Advanced Measures of Music Audiation (AMMA), form the primary theoretical and methodological foundation used to test the students.
The findings indicated that musical aptitude tests generally impacted the mathematical achievements of the participating students, suggesting a positive relationship between these two cognitive domains regardless of background.
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