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@article{180107,
        author = {Eduardo Duarte},
        title = {From Computers to Stages: How AI based Music Tech is Revolutionizing Learning for the Next Generation of Musicians},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3713-3720},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180107},
        abstract = {Artificial Intelligence (AI) is rapidly transforming the landscape of music education by enabling intelligent tutoring systems, real-time feedback tools, generative composition platforms, and adaptive learning environments. This review article explores the evolution and integration of AI-based music technologies over the past decade and how they are reshaping pedagogy for the next generation of musicians. Drawing on empirical studies, we evaluate the effectiveness of AI in enhancing technical skill acquisition, creativity, learner engagement, and inclusivity. While the advantages are substantial, challenges remain—including algorithmic bias, cultural underrepresentation, and limitations in aesthetic sensitivity. The article presents a theoretical model and proposes future research directions to advance the pedagogical value of AI while preserving the deeply human essence of musical learning.},
        keywords = {Artificial Intelligence, Music Education, Intelligent Tutoring Systems, Music Technology, Deep Learning, Human-AI Interaction, Creative Learning, Adaptive Feedback, EdTech, Cultural Inclusivity},
        month = {June},
        }