What are GANs?: Introducing Generative Adversarial Networks to Middle School Students
What are GANs?: Introducing Generative Adversarial Networks to Middle School Students
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DOI：
10.1609/aaai.v35i17.17821
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Safinah Ali;Daniella DiPaola;C. Breazeal
中科院分区：
文献类型：
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作者：
Safinah Ali;Daniella DiPaola;C. Breazeal
生成机器学习技术的应用，如生成对抗网络（GAN），用于生成图像，音乐，文本和视频的新实例。虽然GAN现在已经在社交媒体上变得司空见惯，成为儿童生活的一部分，并且具有相当大的道德影响，但现有的K-12 AI教育课程不包括生成AI。我们提出了一个新的模块，“什么是GAN？"，它教会中学生GAN是如何工作的，以及他们如何使用GAN创建媒体。我们开发了一个基于团队的在线游戏来模拟GAN的工作方式。学生们还与多达四个应用GAN生成媒体的网络工具进行了互动。72名中学生在一系列网上讲习班中试用了这一模块。我们提供洞察学生的使用，理解和对这一课的态度。最后，我们提出了将这一课融入人工智能教育课程的建议。
Applications of Generative Machine Learning techniques such as Generative Adversarial Networks (GANs) are used to generate new instances of images, music, text, and videos. While GANs have now become commonplace on social media, a part of children’s lives, and have considerable ethical implications, existing K-12 AI education curricula do not include generative AI. We present a new module, “What are GANs?”, that teaches middle school students how GANs work and how they can create media using GANs. We developed an online, team-based game to simulate how GANs work. Students also interacted with up to four web tools that apply GANs to generate media. This module was piloted with 72 middle school students in a series of online workshops. We provide insight into student usage, understanding, and attitudes towards this lesson. Finally, we give suggestions for integrating this lesson into AI education curricula.