Journal article
Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection
IEEE transactions on learning technologies, v 2(3), pp 168-173
Jul 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Online collaborative game-based activities may offer a compelling tool for mathematics and science education, particularly for younger students in grades K-12. We have created two prototype activities that allow students to explore aspects of different sound and acoustics concepts: the ldquococktail party problemrdquo (sound source identification within mixtures) and the physics of musical instruments. These activities are also inspired by recent work using games to collect labeling data for difficult computational problems from players through a fun and engaging activity. Thus, in addition to their objectives as learning activities, our games facilitate the collection of data on the perception of audio and music, with a range of parameter variation that is difficult to achieve for large subject populations using traditional methods. Our activities have been incorporated into a pilot study with a middle school classroom to demonstrate the potential benefits of this platform.
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Details
- Title
- Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection
- Creators
- Y.E Kim - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USAT.M Doll - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USAR Migneco - Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
- Publication Details
- IEEE transactions on learning technologies, v 2(3), pp 168-173
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000207848200002
- Scopus ID
- 2-s2.0-84862833179
- Other Identifier
- 991014877781704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Education & Educational Research