使用生成AI来个性化教育评估的机遇和挑战
Burcu Arslan1, Blair Lehman1, Caitlin Tenison1
1ETS Research Institute, Princeton, NJ, United States.
Frontiers in artificial intelligence
|October 22, 2024
概括
生成型人工智能 (GenAI) 提供了增强个性化教育评估的机会,提高学习者参与度和表现. 然而,仔细考虑GenAI的结果.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 个性化学习策略可以提高学生的动力和参与度.
- 个性化评估旨在准确地衡量个体学习者的能力.
- 生成型人工智能 (GenAI) 的进步为教育工具提供了新的可能性.
研究的目的:
- 探索将GenAI集成到个性化的教育评估中.
- 通过GenAI.识别改善学习者参与,表现和获取机会.
- 在评估有效性,可靠性和公平性方面解决与GenAI相关的挑战和风险.
主要方法:
- 观点文章讨论了GenAI在个性化评估中的潜力.
- 分析GenAI整合的机遇和挑战.
- 对核心评估价值的潜在风险的审查.
- 讨论解决方案和未来的研究方向.
主要成果:
- 基因人工智能可以显著提高个性化的评估,增加学习者的动机和参与度.
- 通过使用GenAI.有机会提高评估性能和可访问性.
- 潜在的风险包括对评估有效性,可靠性和公平性的威胁.
结论:
- 将GenAI集成到个性化评估中,有望促进教育进步.
- 解决伦理和技术挑战对于成功实施至关重要.
- 需要进一步的研究,以开发在教育中负责任地使用GenAI的最佳实践.
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