Transformation of Music Education in Sub-Saharan Africa: An Assessment of Artificial Intelligence Applications

Abstract

This study reviews the use of AI in music education in sub-Saharan Africa. The study applies the systematic literature review method and specifically employs the PRISMA approach to review and report on the use of AI in music education in sub-Saharan Africa. The results gathered from this review study's investigation show that AI positively influences music education in several ways, including personalised learning, assisted music composition, intelligent tutoring, automated assessments and skill development. The research found that artificial intelligence helps learners to have immersive learning experiences with their teachers, become better music creators and gain crucial skills in music composition and production. Using selective literature review and content analysis, the research shows that the region has significant potential in aligning education policies with artificial intelligence applications for better music learning outcomes. Despite AI’s transformative potential in music education, challenges surrounding technology adoption, internet penetration and teacher training in sub-Saharan Africa impede its full utilisation. The use of the flipped classroom model, however, can help sub-Saharan Africa reap the benefits of AI in music education in the meantime. Government and non-governmental organisations should invest more in digital education infrastructure and technological resources to unlock the full potential of AI in music education and education in general. Future research should also look into such investment in the sector, to identify gaps, opportunities and inform policy frameworks to accelerate infrastructure development, and ultimately, accelerate AI adoption and application in music education.