Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience

Q1 Social Sciences
i-com Pub Date : 2020-12-01 DOI:10.1515/icom-2020-0023
Sven Schultze, Uwe Gruenefeld, Susanne CJ Boll
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引用次数: 0

Abstract

Abstract Deep Learning has revolutionized Machine Learning, enhancing our ability to solve complex computational problems. From image classification to speech recognition, the technology can be beneficial in a broad range of scenarios. However, the barrier to entry is quite high, especially when programming skills are missing. In this paper, we present the development of a learning application that is easy to use, yet powerful enough to solve practical Deep Learning problems. We followed the human-centered design approach and conducted a technical evaluation to identify solvable classification problems. Afterwards, we conducted an online user evaluation to gain insights on users’ experience with the app, and to understand positive as well as negative aspects of our implemented concept. Our results show that participants liked using the app and found it useful, especially for beginners. Nonetheless, future iterations of the learning app should step-wise include more features to support advancing users.
揭秘深度学习:为初学者开发和评估以用户为中心的学习应用程序,以获得实践经验
深度学习彻底改变了机器学习,增强了我们解决复杂计算问题的能力。从图像分类到语音识别,该技术可以在广泛的场景中发挥作用。然而,进入门槛相当高,尤其是在缺乏编程技能的情况下。在本文中,我们展示了一个学习应用程序的开发,它易于使用,但足够强大,可以解决实际的深度学习问题。我们遵循以人为中心的设计方法,并进行了技术评估,以确定可解决的分类问题。之后,我们进行了在线用户评估,以了解用户使用应用程序的体验,并了解我们实施概念的积极和消极方面。我们的研究结果显示,参与者喜欢使用这个应用程序,并且觉得它很有用,尤其是对初学者来说。尽管如此,学习应用的未来迭代应该逐步包括更多的功能,以支持高级用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
i-com
i-com Social Sciences-Communication
CiteScore
3.80
自引率
0.00%
发文量
24
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