Abstract
This chapter exposes MUSIX, an analytics tool about to be developed, that will enrich music learning and enhance the music teaching approach. MUSIX will collect data from music theory lessons, the playing of instrumental pieces, sight-singing, and vocal training, and subsequently teach and help each student through computerized analysis to better themselves. This software will offer precise instructions, exercises, games, and quizzes to fill in gaps and build a strong understanding using self-regulation and co-regulation techniques. Computer software, audio recording, and MIDI connection between the instrument and the computer are different means that will be used to track the results that will be analyzed and then displayed in a compelling dashboard.
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© 2016 Springer Science+Business Media Singapore
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Guillot, C., Guillot, R., Kumar, V., Kinshuk (2016). MUSIX: Learning Analytics in Music Teaching. In: Li, Y., et al. State-of-the-Art and Future Directions of Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-287-868-7_31
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DOI: https://doi.org/10.1007/978-981-287-868-7_31
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