Exploring the potential of an audio application for teaching AI-based classification methods to a wider audience

IF 0.1 Q4 MULTIDISCIPLINARY SCIENCES Tecnologia en Marcha Pub Date : 2022-11-16 DOI:10.18845/tm.v35i8.6444
Gabriel Coto-Fernández, Marvin Coto-Jiménez
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Abstract

Knowledge about artificial intelligence (AI) is becoming increasingly important for many careers, especially those based in science and engineering. Besides formal education, the impact of AI on society lead to consider educational projects for teaching the fundamental concepts of AI at wider audiences, including high school levels. This can help more general audiences to better understand how AI works, with the hope that also parents and educators can help students develop a healthy appreciation for implications and limitations, along with an appropriate relationship and deeper interest on it. In this paper, we present a pilot project for teaching an AI-based classification method that is empirically evaluated with real data of a real problem, which can be understood and tackled with basic mathematical tools and activities suitable for high school students. With this proposal, we aim to show how audio and speech applications can inform a wider audience about advances in AI, its characteristics, and its future impact on society. Results and lessons learned from this project can form the basis for further projects using different tools and data, according to students’ interests and initiative.
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探索音频应用程序的潜力,向更广泛的受众教授基于人工智能的分类方法
关于人工智能(AI)的知识对许多职业来说变得越来越重要,尤其是那些基于科学和工程的职业。除了正规教育,人工智能对社会的影响促使人们考虑向更广泛的受众(包括高中水平)教授人工智能基本概念的教育项目。这可以帮助更多的普通观众更好地理解人工智能是如何工作的,也希望家长和教育工作者可以帮助学生培养对人工智能的影响和局限性的健康认识,以及适当的关系和更深层次的兴趣。在本文中,我们提出了一个基于人工智能的分类方法的教学试点项目,该方法可以用实际问题的真实数据进行经验评估,这些问题可以用适合高中生的基本数学工具和活动来理解和解决。通过这一提案,我们的目标是展示音频和语音应用如何向更广泛的受众介绍人工智能的进步、特点及其未来对社会的影响。根据学生的兴趣和主动性,从这个项目中获得的结果和经验教训可以成为使用不同工具和数据的进一步项目的基础。
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来源期刊
Tecnologia en Marcha
Tecnologia en Marcha MULTIDISCIPLINARY SCIENCES-
自引率
0.00%
发文量
93
审稿时长
28 weeks
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