探索学生感兴趣的类别及其与技术支持环境中的深度学习的关系
1Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Scientific reports
|March 27, 2025
概括
对技术支持的学习环境的高度情境兴趣和高度个人兴趣是深度学习的关键驱动因素. 这一发现强调了培养两种对学生进步的兴趣的重要性.
科学领域:
- 教育心理学教育心理学
- 学习科学 学习科学
- 教育中的技术教育中的技术
背景情况:
- 学生的兴趣,无论是情境还是个人,对于启动学习和推动深度学习至关重要.
- 技术支持的学习环境为探索学生兴趣动态提供了独特的背景.
研究的目的:
- 识别在技术支持学习中的情况和个人兴趣共存的类别.
- 检查与这些利益类别相关的因素.
- 确定兴趣类别对深度学习元素的影响.
主要方法:
- 隐性个人资料分析 (LPA) 用于对兴趣的个人资料进行分类.
- 多重逻辑回归和多变量方差分析 (MANOVA) 相关因素和影响分析.
- 分析了来自中国634名初中学生的自我报告问卷.
主要成果:
- 确定了四个兴趣概况:中等情境-低个体,中等情境-中等个体,高情境-中等个体和高情境-高个体兴趣.
- 成绩水平与兴趣深化和稳定阶段相关.
- 所有兴趣类别和兴趣阶段都与深度学习元素 (享受,认知承诺,关联想法,理解) 有关.
结论:
- 在技术增强的环境中,情况和个人兴趣如何影响深度学习存在异质性.
- "高情境兴趣-高个体兴趣"是实现深度学习的重要因素.
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