通过数字工具进行适应性反的影响 - - 一项关于自我调节学习过程的混合方法研究
Mathias Mejeh1,2, Livia Sarbach1, Tina Hascher1
1Department of Research in School and Learning, Institute of Educational Science, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland.
概括
适应性学习技术 (ALT) 可以支持大学生的自我调节学习 (SRL),但反的有效性取决于个体学生的需求和学习过程. 个性化支持是成功终身学习的关键.
科学领域:
- 教育技术的教育技术
- 终身学习是一项终身学习.
- 自主调节学习 (SRL)
背景情况:
- 终身学习对于社会公平和可持续性至关重要.
- 自律学习 (SRL) 对于终身学习的成功至关重要.
- 数字化对SRL的发展产生了重大影响.
研究的目的:
- 探索适应性学习技术 (ALT) 如何支持大学生的SRL.
- 检查学生对ALT反的看法及其融入学习行为.
- 研究动机和情绪状态对元认知活动的影响.
主要方法:
- 混合方法研究结合了定量和定性方法.
- 层次的线性建模来跟踪SRL在9周的发展.
- 半结构面试与刺激回忆,以获得深入的定性见解.
主要成果:
- 在大学生中观察到特定的SRL组件的积极发展.
- 超认知活动是部分可预测的学生的动机和情绪状态.
- 学生对ALT反的看法各不相同,并根据感知到的个人利益来整合.
结论:
- 来自教育技术的反必须高度个性化,以满足个体学习者的需求.
- 有效的ALT集成需要考虑个别学习过程中的动态.
- 这些发现有助于为SRL设计更有效的教育技术.
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