발간년도 : [2023]
| 논문정보 |
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| 논문명(한글) |
[Vol.18, No.2] Exploring the Case Study of STEAM Curriculum Design Based on AI |
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| 논문투고자 |
Tasha Eunjoo Lee |
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| 논문내용 |
This study analyzed cases of STEAM curriculum design using AI. The specific purpose of this study is to identify the characteristics of the case, and the ultimate purpose is to present useful insights and future tasks to curriculum researchers using AI. As a result of the study, the characteristics of STEAM curriculum cases using AI tended to accurately predict individualized students' learning outcomes and provide education to improve students' learning. Second, the STEAM curriculum, which focuses on providing a successful experience of problem-solving, was conducted as a cyclical process of collecting and utilizing a wide range of information especially about the problem and producing it again. One of the future challenges in utilizing AI in STEAM curriculum design is that there is still a lack of data available for AI-based systems at this time, so there is still a need to collect and analyze more data. On the other hand, there is a lack of a framework and open-source system suitable for organizing unrefined educational materials and curriculum design plans. AI technology can analyze a large amount of data, but in order to create a more effective and efficient educational strategy, ecosystems and networks that process and utilize data must be developed first and foremost. Considering these circumstances, STEAM curriculum designers should be scrutinized the ways of AI application, and learners' literacy skills are also expected to be emphasized. |
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