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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.12083 |
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| _version_ | 1866916902832439296 |
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| author | Lee, Gyeonggeon |
| author_facet | Lee, Gyeonggeon |
| contents | This study investigates the long term influence of high school science education on adults' engagement with artificial intelligence (AI) and their views on science-technology-society (STS) issues. Drawing on longitudinal data from the Korea Employment Education Panel (KEEP) II (n = 2,348), which tracked general high school students from 2016 to 2023, we applied structural equation modeling (SEM) to examine how science interest and achievement in adolescence predict AI use and perceptions in adulthood. Results indicate that high school science achievement, but not science interest, directly predicted AI use at age 24. AI use significantly influenced both positive and negative perceptions of AI, which in turn shaped sophisticated perspectives on STS domains - human-AI relationship, quality of life, and science and technology monopolization. Indirect effects suggest that high school science interest can influence adult perceptions of AI and STS views, mediated by science achievement and AI use. These findings provide rare empirical evidence linking secondary science education to adult engagement with AI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_12083 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High School Science Profile Predicts Adults' Views on the Future of AI and STS Lee, Gyeonggeon Physics Education This study investigates the long term influence of high school science education on adults' engagement with artificial intelligence (AI) and their views on science-technology-society (STS) issues. Drawing on longitudinal data from the Korea Employment Education Panel (KEEP) II (n = 2,348), which tracked general high school students from 2016 to 2023, we applied structural equation modeling (SEM) to examine how science interest and achievement in adolescence predict AI use and perceptions in adulthood. Results indicate that high school science achievement, but not science interest, directly predicted AI use at age 24. AI use significantly influenced both positive and negative perceptions of AI, which in turn shaped sophisticated perspectives on STS domains - human-AI relationship, quality of life, and science and technology monopolization. Indirect effects suggest that high school science interest can influence adult perceptions of AI and STS views, mediated by science achievement and AI use. These findings provide rare empirical evidence linking secondary science education to adult engagement with AI. |
| title | High School Science Profile Predicts Adults' Views on the Future of AI and STS |
| topic | Physics Education |
| url | https://arxiv.org/abs/2508.12083 |