超认知线索,工作记忆和数学焦虑:数学问题解决 (RAMPS) 框架中的规范注意力
Daniel A Scheibe1, Christopher A Was1, John Dunlosky1
1The Psychological Sciences, Kent State University, Kent, OH 44240, USA.
Journal of Intelligence
|June 27, 2023
概括
数学焦虑和元认知相互作用,影响数学问题解决. 本研究介绍了数学问题解决中的调控注意力 (RAMPS) 框架,以解释这些相互作用.
科学领域:
- 认知心理学 认知心理学
- 数学教育教育 数学教育
- 情感神经科学是一种神经科学.
背景情况:
- 数学问题解决涉及到元认知,认知和情感因素.
- 超认知和数学焦虑之间的相互作用对于解决问题的表现至关重要.
- 超认知判断可能与任务相关或无关,影响控制决策.
研究的目的:
- 在数学问题解决中探索元认知和数学焦虑之间的相互作用.
- 提出一个新的框架,即数学问题解决中的调节注意力 (RAMPS),整合这些因素.
- 用新的定性数据综合现有文献.
主要方法:
- 对673名参与者的报告进行了定性分析.
- 关于元认知,数学焦虑和解决问题的文献综述.
- 开发RAMPS框架的发展.
主要成果:
- 数学焦虑会损害元认知准确性,并导致避免有益的控制策略.
- 与任务无关的元认知监测可能会对解决问题的准确性产生负面影响.
- 与任务相关的元认知经验可以促进有效的控制决策.
结论:
- RAMPS框架为数学问题解决中的规范注意力提供了一个新的视角.
- 了解元认知和数学焦虑之间的相互作用是提高数学表现的关键.
- 未来的研究应该调查RAMPS框架的实际应用.
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