International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Design to Improve Educational Competency Using ChatGPT

  • Received : 2023.12.31
  • Accepted : 2024.01.31
  • Published : 2024.02.29
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Abstract

Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia self-reliant courses.

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Acknowledgement

Funding for this paper was provided by Namseoul university.

References

  1. M. A. Boden, "Artificial intelligence", Elsevier, 2023.
  2. Y. Mintz, and R. Brodie, "Introduction to artificial intelligence in medicine", Minimally Invasive Therapy & Allied Technologies, vol. 28, no. 2, pp. 73-81, 2019. DOI: https://doi.org/10.1080/13645706.2019.1575882
  3. S.H. Kim, J.K. Choi, J.S. Kim, A.R. Jang, J.H. Lee, K.J. Cha, and S.W. Lee, "Animal Infectious Diseases Prevention through Bigdata and Deep Learning", Journal of Intelligence and Information Systems, vol. 24. no. 4. pp. 137-154, 2018. DOI: https://doi.org/10.13088/jiis.2018.24.4.137
  4. C. H. Lee, K. Park, and S. Lee, "Development of IoT Healthcare Platform Model for the Elderly using Bigdata and Artificial Intelligence", International Journal of Membrane Science and Technology, vol. 10, no. 1, pp. 108-113, 2023. https://doi.org/10.15379/ijmst.v10i1.1435
  5. D. Fasel, and A, Meier, Bigdata, Springer Vieweg, 2014
  6. S. Lee and J. Kim, "Data Design Strategy for Data Governance Applied to Customer Relationship Management", International Journal of Advanced Culture Technology, vol. 11, no. 3, pp. 338-345, 2023. DOI: https://doi.org/10.17703/IJACT.2023.11.3.338
  7. S.H. Kim, S. Chang, and S.W. Lee, "Consumer Trend Platform Development for Combination Analysis of Structured and Unstructured Bigdata", Journal of Digital Convergence, vol. 15. no. 6. pp. 133-143, 2017. DOI: https://doi.org/10.14400/JDC.2017.15.6.133
  8. S. Sagiroglu, and D. Sinanc, "Bigdata: A review", The 2013 international conference on collaboration technologies and systems (CTS), IEEE, pp. 42-47. 2013, May. DOI: http://doi.org/10.1109/CTS.2013.6567202
  9. H. S. Sae tra,"Generative AI: Here to stay, but for good?. Technology in Society," vol. 75, No. 102372, 2023. DOI: https://doi.org/10.1016/j.techsoc.2023.102372
  10. F. Fui-Hoon Nah, R. Zheng, J. Cai, K. Siau, & L. Chen, "Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration," Journal of Information Technology Case and Application Research, vol. 25, no. 3, pp. 277-304, 2023. DOI: https://doi.org/10.1080/15228053.2023.2233814