个人能力在最大限度地提高学生在高等教育中使用GenAI工具的好处方面的作用
Behavioral sciences (Basel, Switzerland)
|March 28, 2025
概括
学生的能力,如批判性思维和人工智能素养,显著提高了生成人工智能 (GenAI) 工具信息质量. 更高质量的信息提高了学生的满意度,并在高等教育中继续使用GenAI.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 信息系统信息系统信息系统
背景情况:
- 生成型人工智能 (GenAI) 的采用在高等教育中越来越多.
- 现有的研究往往忽视了个体学生能力对GenAI工具有效性的影响.
- 像ISSM和ECM这样的理论框架为理解技术采用提供了基础.
研究的目的:
- 调查学生的批判性思维,自主学习和人工智能素养如何影响来自GenAI工具的信息质量.
- 检查信息质量,学生满意度和继续使用GenAI工具的意图之间的关系.
- 通过结合个人能力和用户满意度来扩展ISSM和ECM.
主要方法:
- 在中国大学对1448名GenAI工具用户进行了调查.
- 使用统计分析来评估学生能力对信息质量,满意度和持续使用的影响.
- 该研究整合了信息系统成功模型 (ISSM) 和预期确认模型 (ECM).
主要成果:
- 更强大的学生能力 (批判性思维,自主学习,AI素养) 与来自GenAI工具的更高质量的信息相关.
- 信息质量的提高对学生对GenAI工具的满意度产生了积极的影响.
- 更高的学生满意度导致更多的意图继续在学术环境中使用GenAI工具.
结论:
- 个人学生的能力对于最大限度地利用GenAI工具在高等教育中的好处至关重要.
- 培养批判性思维,自主学习和AI素养对于可持续的GenAI集成至关重要.
- 这些发现为教育工作者和政策制定者提供了实际的意义,以提高学生的技能和优化GenAI工具的使用.
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