揭开阴影:超越AI在教育中的作
1Department of Learning Design and Technology, Faculty of Education, University of Jeddah, P.O. box 15758, 21454, Jeddah, Saudi Arabia.
Heliyon
|May 13, 2024
概括
教育中的人工智能 (AI) 存在诸如偏见和隐私问题等风险. 这项研究确定了关键的挑战,并倡导谨慎的策略,以平衡人工智能的好处与教育完整性.
科学领域:
- 教育技术的教育技术
- 人工智能伦理学 人工智能伦理学
- 人工智能的社会影响
背景情况:
- 在教育中对人工智能 (AI) 的热情日益增长,需要对其潜在的缺点进行批判性审查.
- 以前的研究主要集中在人工智能的好处上,忽视了重大实施挑战.
研究的目的:
- 调查和建模与人工智能 (AI) 在教育环境中的整合相关的负面方面和担忧.
- 开发和验证一个理论框架,确定在教育中对人工智能的关键关注领域.
主要方法:
- 对56项研究的系统文献综述,以开发初步的理论模型.
- 为了验证该模型,沙特阿拉伯一所大学对260名参与者进行了调查研究.
- 内容分析和统计验证在教育中发现的AI相关问题.
主要成果:
- 验证了一个模型,证实了人类连接,数据隐私,算法偏见,透明度,批判性思维,访问公平,道德,教师发展,可靠性和人工智能生成的内容方面的担忧.
- 确定了人工智能问题之间的相关性,表明相互关联的负面后果.
- 突出了特定的相互依存关系,例如人工智能透明度对教师发展和学生成果产生了积极影响.
结论:
- 人工智能在教育中提供了变革性的潜力,但需要谨慎,经过审查的采用.
- 倡导全面的战略,解决人与人之间的联系,数据隐私,偏见缓解,透明度,创造力,公平,道德,教师准备,可靠性和内容监管.
- 强调需要全面的政策制定,以利用人工智能的好处,同时减轻教育方面的缺点.
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