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学习者刺激意图:在计算机编程教育中用于眼睛跟踪数据收集和特征提取的框架
1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru, India. kr_chandrika@blr.amrita.edu.
Scientific reports
|April 8, 2025
概括
本研究介绍了学习者刺激意图框架,使用眼睛跟踪来分析计算机编程教育中的认知过程. 它比传统方法更深入地了解学习者的理解和参与.
科学领域:
- 计算机科学教育计算机科学教育
- 认知科学 认知科学
- 人与计算机的交互
背景情况:
- 计算机科学教育中的传统评估方法对认知过程的洞察力有限.
- 眼睛跟踪技术为观察学习者的行为和认知状态提供了一个强大的工具.
- 了解学习者的认知过程对于改善教育策略和成果至关重要.
研究的目的:
- 引入一个新的框架,学习者刺激意图,用于分析计算机编程教育中的认知过程.
- 证明框架在提供对学习者理解和参与的细微见解方面的能力.
- 突出框架对计算机科学教育评估进行革命的影响.
主要方法:
- 开发和应用学习者激励意图框架.
- 收集全面的眼睛凝视和语义特征数据.
- 使用有效的数据可视化技术进行分析.
主要成果:
- 该框架生成了四个不同的数据集,为学习者行为和认知特征提供了独特的视角.
- 眼睛跟踪数据与语义特征相结合,提供了学习进展的详细图片.
- 获得了对认知工作量,信息处理顺序,混乱和注意力的洞察.
结论:
- 学习者刺激意图框架为理解和评估计算机科学学习提供了一种新的方法.
- 这一框架可以通过对学习者的认知过程提供更深入的见解,显著提高教学策略.
- 该技术有可能通过实现更有针对性的教育干预来改善学习者的学习成果.
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