生成型人工智能和未来的教育:一项审查,理论验证,以及作者对挑战和解决方案的观点
Wali Khan Monib1, Atika Qazi1, Rosyzie Anna Apong2
1Centre for Lifelong Learning, Universiti Brunei Darussalam, Gadong, Brunei Darussalam.
PeerJ. Computer science
|December 9, 2024
概括
像ChatGPT一样,生成性AI (Gen AI) 提出了包括抄袭和隐私在内的教育挑战. 确定了切实可行的策略,以减轻风险,并促进学习环境中的伦理融合.
科学领域:
- 教育 技术 技术 教育 技术
- 人工智能伦理学 人工智能伦理学
背景情况:
- 生成型人工智能 (Gen AI),特别是ChatGPT,对于类似人类的文本生成越来越受欢迎.
- 它融入教育引发了关于好处和缺点的辩论.
研究的目的:
- 审查在教育中使用Gen AI的挑战.
- 确定和评估解决这些挑战的实际策略.
主要方法:
- 在信誉好的数据库中进行系统的文献搜索.
- 使用Atlas.ti软件对22篇出版物的分析.
主要成果:
- 确定了六个主要挑战:抄袭 (最普遍),责任,隐私,数据保护,安全,安全,歧视,偏见,软技能丧失和数字沟.
- 大多数建议的策略都是实际的,并与道德/教学理论保持一致.
- 聊天GPT,人工智能,学生,研究和教育是关键词;美国领导国际合作.
结论:
- 将人工智能整合到教育中需要仔细考虑所识别的挑战.
- 实用,符合伦理的策略可以促进负责任的采用.
- 需要进一步的研究和政策制定,才能在教育中驾一代人工智能的不断变化的环境.
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