An Electric Vehicle Charging Station Location Optimization Model Based on Demand Forecasting
This study aims to compare adult and school-age learners' experiences and perceptions of using generative AI, especially ChatGPT, and to explore its educational use by adult learners.It seeks to identify generative AI's educational potential and limitations and provide basic data for developing customized educational programs.The study was conducted by surveying adult learners and school-age learners enrolled at C University in Gangwon Province.The survey was conducted online from May 31 to June 14, 2024, and 148 responses were used for analysis.The collected data was analyzed using the SPSS 23.0 statistical program, employing frequency analysis, descriptive statistics, and independent samples t-test.The results showed that school-age learners had a more positive overall evaluation of their experience with ChatGPT than adult learners.There was a statistically significant difference between adult and school-age learners' satisfaction with the experience of using generative AI.Both groups had similar perceptions of the utility, impact, challenges, need for training, and use of generative AI as an educational tool.School-age learners were also more likely to use generative AI for educational purposes than adult learners.This study confirms that generative AI, particularly ChatGPT, has great potential as an educational tool.School-age learners have a more positive and proactive attitude towards generative AI, while adult learners have less experience and are more cautious.Considering these differences, it is necessary to develop customized training programs for each group.Additionally, educators need to be educated about the ethical issues and usage guidelines of generative AI and be empowered to use generative AI effectively.
Authors
- Jeong Ah Kim (ORCID: https://orcid.org/0000-0001-5429-759X)
Publication Details
- Journal
- Asia-pacific Journal of Convergent Research Interchange
- Published
- 2024-12-30
- DOI
- https://doi.org/10.47116/apjcri.2024.12.27
- Citations
- 1
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.21