探索生成人工智能在学生的认知和情感需求中的利用和缺陷:一个系统的迷你审查
Elvis Ortega-Ochoa1, Josep-Maria Sabaté2, Marta Arguedas2
1Doctoral School, Universitat Oberta de Catalunya, Barcelona, Spain.
Frontiers in artificial intelligence
|November 26, 2024
概括
生成型人工智能 (GAI) 工具在提高学生参与度和情绪调节方面表现有前途. 然而,目前的GAI在促进批判性思维和确保有效学习的响应准确性方面存在重大局限性.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 认知科学 认知科学
背景情况:
- 生成型人工智能 (GAI) 和大型语言模型 (LLM) 越来越多地融入教育技术.
- 了解GAI对学习者的认知和情感需求的影响对于有效实施至关重要.
- 现有的研究往往忽视了实际应用和道德考虑.
研究的目的:
- 系统地审查GAI在满足学习者的认知和情感需求方面的实际实施和局限性.
- 确定2019-2024年教育中GAI工具的经验研究.
- 在教育背景下分析GAI的实用性和伦理方面.
主要方法:
- 来自Scopus和Web of Science的经验研究的小综述 (截至2024年6月18日).
- 收录标准:期刊/会议论文 (2019-2024),教育中的GAI工具,经验数据,英语.
- 排除标准:非英语,非实证,2019年之前的出版物.
主要成果:
- 审查了四项研究,使用像ChatGPT这样的工具.
- 通过交互式反,GAI在提高学生参与度和情绪调节方面表现出有效性.
- 在GAI培养批判性思维和保持响应准确性的能力方面发现了重大缺陷,导致潜在的学习者困惑.
- GAI对个性化学习和情感支持的能力有限,往往无法满足个人的需求.
- 结果显示,由于横截面设计和小样本大小,结果的概括性有限.
结论:
- GAI工具为参与和情绪调节提供了好处,但需要仔细的教学整合.
- 需要改善GAI的批判性思维支持和响应准确度,以减轻混乱.
- 进一步的研究应该集中在增强GAI的个性化能力和解决伦理方面的考虑.
- 开发有效的教学策略,利用GAI,同时解决其局限性,对于未来的教育应用至关重要.
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