从大学学生的角度来看,数字福利与生成人工智能相关的概念化
1Department of Information Science and Librarianship, Faculty of Arts, Masaryk University in Brno, 602 00 Brno, Czech Republic.
概括
学生建议使用生成性人工智能 (AI) 实现数字幸福的策略. 关键的适应性元素包括批判性思维,自主性和理解人机差异,以有效地应对AI风险.
科学领域:
- 数字福利研究数字福利研究
- 生成型人工智能 (AI) 对教育的影响
背景情况:
- 数字福利在教育中得到了很好的研究,但在产生人工智能方面却没有那么多.
- 生成型人工智能有可能显著影响学生的数字幸福感.
研究的目的:
- 在生成人工智能环境中分析学生对数字幸福感的建议.
- 确定研究和学生适应策略的关键领域.
主要方法:
- 从信息和图书馆科学学生的474个学生推的专题分析.
- 实用主义的研究背景,整合思考和行动.
主要成果:
- 确定了四个研究领域:社会期望,交互方法,风险和适应性策略.
- 学生的适应性策略对于平衡生成性AI风险至关重要.
- 关键的适应性要素:批判性思维,创造力,自主性,关怀,责任和人机区分.
结论:
- 生成性AI风险是学生通过适应性策略管理的环境因素.
- 培养批判性思维和理解人机差异对于AI时代的学生数字福祉至关重要.
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