Evaluating the efectiveness of sonifcation in science education using Edukoi
Lucrezia Guiotto Nai Fovino, Anita Zanella, Luca Di Mascolo, Michele, Ginolfi, Nicol\`o Carpita, Francesco Trovato Manuncola, Massimo Grassi

TL;DR
This study evaluates Edukoi, a motion-sensing sonification tool, for teaching astronomy to middle-school students, showing promising results in color recognition and potential benefits for diverse learners, including the visually impaired.
Contribution
Introduces Edukoi, a novel real-time image-to-sound conversion tool, as an innovative educational aid in science, particularly astronomy, with initial positive outcomes.
Findings
Edukoi effectively improves color recognition.
Reasonable success in shape identification.
Positive student feedback despite no increase in engagement.
Abstract
Science, Technology, Engineering, and Mathematics classes are mainly taught using visual supports. However, the advancement of technology and the increasing eforts to equip schools with digital instrumentation have opened up the possibility of exploring new teaching avenues, such as sonifcation. We explored the efcacy of sonifcation in education using a novel interactive tool, Edukoi, in the context of astronomy, which is predominantly disseminated through spectacular images, animations, and visuals. Edukoi is a motion-sensing sonifcation tool that converts images to sound in real-time for educational applications. Our study, conducted with nearly 150 middle-school students, included a preliminary questionnaire investigating the perception, engagement, and motivation of students towards science; two sessions dedicated to testing Edukoi and assessing the potentiality of the software for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
