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http://dx.doi.org/10.14352/jkaie.2020.24.5.495

A Case Study on the Effect of the Artificial Intelligence Storytelling(AI+ST) Learning Method  

Yeo, Hyeon Deok (KAIST)
Kang, Hye-Kyung (Open Cyber University of Korea)
Publication Information
Journal of The Korean Association of Information Education / v.24, no.5, 2020 , pp. 495-509 More about this Journal
Abstract
This study is a theoretical research to explore ways to effectively learn AI in the age of intelligent information driven by artificial intelligence (hereinafter referred to as AI). The emphasis is on presenting a teaching method to make AI education accessible not only to students majoring in mathematics, statistics, or computer science, but also to other majors such as humanities and social sciences and the general public. Given the need for 'Explainable AI(XAI: eXplainable AI)' and 'the importance of storytelling for a sensible and intelligent machine(AI)' by Patrick Winston at the MIT AI Institute [33], we can find the significance of research on AI storytelling learning model. To this end, we discuss the possibility through a pilot study targeting general students of an university in Daegu. First, we introduce the AI storytelling(AI+ST) learning method[30], and review the educational goals, the system of contents, the learning methodology and the use of new AI tools in the method. Then, the results of the learners are compared and analyzed, focusing on research questions: 1) Can the AI+ST learning method complement algorithm-driven or developer-centered learning methods? 2) Whether the AI+ST learning method is effective for students and thus help them to develop their AI comprehension, interest and application skills.
Keywords
Algorithm; Artificial Intelligence(AI); AI+ST Learning Method; Antagonism; Problem-Solving Method;
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