高等教育中的生成人工智能:平衡创新和诚信
Nigel J Francis1, Sue Jones2, David P Smith3
1School of Biosciences, Cardiff University, Cardiff, United Kingdom.
British journal of biomedical science
|January 24, 2025
概括
生成型人工智能 (GenAI) 为高等教育提供了新的学习和评估工具,但对学术完整性和公平性构成风险. 负责任的整合需要道德框架和GenAI素养,以平衡人工智能能力与人类专业知识.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 高等教育研究 高等教育研究
背景情况:
- 生成型人工智能 (GenAI) 正在越来越多地影响高等教育.
- GenAI提供了个性化的学习和创新的评估机会.
- 关于学术诚信和公平,出现了重大挑战.
研究的目的:
- 探索将GenAI整合到教育实践中的双重性质.
- 检查GenAI对评估和学术诚信的影响.
- 为在高等教育中负责任地采用GenAI提出建议.
主要方法:
- 综合文献综述. 这是一个全面的文献综述.
- 在教学理论 (社会构造主义,基于能力的学习) 框架内的分析.
- 检查道德问题:偏见,数字沟,环境影响.
主要成果:
- 基因AI提供了自动化和效率的好处.
- 潜在的风险包括破坏学生工作的真实性和加剧不平等.
- 突出了指导GenAI使用的伦理框架的需要.
结论:
- 与人工智能能力平衡人类专业知识至关重要.
- 教育机构必须制定GenAI识字计划.
- 审查评估和制定透明政策对于公平和问责是必不可少的.
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