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- W2608761607 abstract "Our country's asymmetrical technical advantage requires more science and engineering students. However, interest in STEM careers is declining. Many students drop out of STEM majors because introductory courses are often too difficult or too abstract. In trying to address the problem some say we should require students to take more STEM, but that is like stuffing them with more broccoli. We need a new very appetizing recipe. We must entice, interest, and motivate highly qualified students to go into STEM. We propose to engage and motivate an untapped resource, namely music students; who typically turn away from STEM careers. In the past 15 years, enrollment in Computer Science Advanced Placement test grew by just 12% while Music Theory AP grew by 362%. Very interesting and foreboding. We see music students being enticed by their passion to participate in “Music as the Student's Heuristic Path to Signal Processing Careers.” Students of the arts continue to outperform their non-arts peers on the SAT. So music students are smart as well as disciplined, task oriented, work well in teams, have self-confidence, and good communication skills. To capitalize on these valuable attributes, we are creating workshops that have math formula visualizations for students to manipulate but in an enticing music heuristic. Our first workshop called “Harmonizing Hamsters” is a game in which a player adjusts the singing of two hamsters to create harmony. The note and frequency of each hamster's song is displayed in the formula to show when harmonics occur. The lesson is that harmonics are realized in multiples of the fundamental's frequency. The note to frequency connection expands the student's signal processing vocabulary. When a harmony is achieved, the player is rewarded by the hamsters singing." @default.
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- W2608761607 date "2017-01-01" @default.
- W2608761607 modified "2023-09-27" @default.
- W2608761607 title "Music as the Heuristic Path to Signal Processing Careers" @default.
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- W2608761607 doi "https://doi.org/10.1109/isecon.2017.7910237" @default.
- W2608761607 hasPublicationYear "2017" @default.
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