同行辅助学习在更高的任务复杂性和难度下更有效.
Jarean Carson1,2, Ion Juvina1, Kevin O'Neill1
1Department of Psychology, Wright State University.
Topics in cognitive science
|November 10, 2023
概括
同行辅助学习有利于复杂的问题解决,但可以增加认知负载. 这种协作方法比个人学习有优势,特别是在具有挑战性的任务中,尽管转移因研究而异.
科学领域:
- 认知心理学 认知心理学
- 教育心理学教育心理学
- 学习科学 学习科学
背景情况:
- 同行辅助学习 (PAL) 涉及到协作式的学习策略.
- 个人学习作为比较的基准.
- 了解PAL在不同任务复杂性的有效性至关重要.
研究的目的:
- 为了比较同行辅助学习 (PAL) 与个人学习的有效性.
- 调查任务复杂性如何影响PAL的好处.
- 分析与PAL相关的认知机制和成本.
主要方法:
- 进行了两项研究,采用配对关联学习和远程关联测试.
- 参与者参与了四人组的同行辅助学习或个人学习.
- 用行为分析和计算建模来检查学习过程.
主要成果:
- 在这两项研究中,同行互动对学习产生了积极的影响.
- 只有在更复杂的任务 (远程关联测试) 中,PAL的好处才转移到最后的个人测试中.
- 认知负载和错误暴露被确定为同行互动的成本,部分抵消了好处.
结论:
- 同行辅助学习可以优于个人学习,特别是在复杂的任务和困难的问题上.
- PAL的有效性取决于任务的性质以及协作效益与认知成本之间的平衡.
- 进一步研究优化PAL策略以减轻认知负载是有必要的.
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