每日自动反增强自我调节的学习:一个纵向随机现场实验
Henrik Bellhäuser1, Charlotte Dignath2, Maria Theobald3
1Department of Psychology, Faculty 02: Social Sciences, Media, and Sports, Johannes Gutenberg-University Mainz, Mainz, Germany.
Frontiers in psychology
|June 5, 2023
概括
自动生成,自适应反改善了大学生每日自我调节学习 (SRL) 过程,如目标设定和规划. 然而,它没有影响动机或长期SRL策略的使用.
科学领域:
- 教育心理学教育心理学
- 学习科学 学习科学
- 人与计算机的交互
背景情况:
- 自律学习 (SRL) 对于学术成功至关重要.
- 适应性反可能会增强SRL过程.
- 了解不同类型的反的影响对于有效的学习干预措施至关重要.
研究的目的:
- 研究自动生成的自适应反对大学生每日SRL的影响.
- 为了比较确认,信息和转变反对学习行为的影响.
- 检查反对SRL过程测量和特征测量的影响.
主要方法:
- 实验现场研究与194名大学生超过36天.
- 每日电子学习日记报告SRL战略应用.
- 随机分配到反 (LDF) 或无反 (LD) 组.
- 每日工艺数据的多层次分析和特征前后测量.
主要成果:
- 反组 (LDF) 显示了更好的目标设定,规划,时间坚持,自我效能和满意度.
- 反没有显著影响动机,拖延或努力.
- 没有发现反对一般SRL策略使用 (特征措施) 有显著影响.
- 确认和转变的反对第二天的满意度和拖延产生了积极的影响.
- 变革性反特别改善了时间管理技能.
结论:
- 每天的自适应反可以增强特定的SRL过程和即时的学习行为.
- 反的类型很重要,转变性反对时间管理具有特别的好处.
- 反对SRL流程的影响可能不会转化为一般SRL策略使用的变化.
- 研究结果为设计教育环境中有效的反机制提供了洞察力.
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