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线索减少的总体认知负荷越多,多媒体学习的记忆和迁移效果就越好:一项元分析和两项元回归分析。

The more total cognitive load is reduced by cues, the better retention and transfer of multimedia learning: A meta-analysis and two meta-regression analyses.

作者信息

Xie Heping, Wang Fuxing, Hao Yanbin, Chen Jiaxue, An Jing, Wang Yuxin, Liu Huashan

机构信息

School of Psychology, Central China Normal University, Wuhan, China.

出版信息

PLoS One. 2017 Aug 30;12(8):e0183884. doi: 10.1371/journal.pone.0183884. eCollection 2017.

Abstract

Cueing facilitates retention and transfer of multimedia learning. From the perspective of cognitive load theory (CLT), cueing has a positive effect on learning outcomes because of the reduction in total cognitive load and avoidance of cognitive overload. However, this has not been systematically evaluated. Moreover, what remains ambiguous is the direct relationship between the cue-related cognitive load and learning outcomes. A meta-analysis and two subsequent meta-regression analyses were conducted to explore these issues. Subjective total cognitive load (SCL) and scores on a retention test and transfer test were selected as dependent variables. Through a systematic literature search, 32 eligible articles encompassing 3,597 participants were included in the SCL-related meta-analysis. Among them, 25 articles containing 2,910 participants were included in the retention-related meta-analysis and the following retention-related meta-regression, while there were 29 articles containing 3,204 participants included in the transfer-related meta-analysis and the transfer-related meta-regression. The meta-analysis revealed a statistically significant cueing effect on subjective ratings of cognitive load (d = -0.11, 95% CI = [-0.19, -0.02], p < 0.05), retention performance (d = 0.27, 95% CI = [0.08, 0.46], p < 0.01), and transfer performance (d = 0.34, 95% CI = [0.12, 0.56], p < 0.01). The subsequent meta-regression analyses showed that dSCL for cueing significantly predicted dretention for cueing (β = -0.70, 95% CI = [-1.02, -0.38], p < 0.001), as well as dtransfer for cueing (β = -0.60, 95% CI = [-0.92, -0.28], p < 0.001). Thus in line with CLT, adding cues in multimedia materials can indeed reduce SCL and promote learning outcomes, and the more SCL is reduced by cues, the better retention and transfer of multimedia learning.

摘要

线索提示有助于多媒体学习的记忆保持和迁移。从认知负荷理论(CLT)的角度来看,线索提示对学习成果有积极影响,因为它能降低总认知负荷并避免认知过载。然而,这一点尚未得到系统评估。此外,与线索相关的认知负荷和学习成果之间的直接关系仍不明确。为此进行了一项元分析和两项后续的元回归分析来探讨这些问题。主观总认知负荷(SCL)以及记忆测试和迁移测试的分数被选作因变量。通过系统的文献检索,与SCL相关的元分析纳入了32篇符合条件的文章,涉及3597名参与者。其中,25篇包含2910名参与者的文章被纳入与记忆相关的元分析及后续与记忆相关的元回归分析,而29篇包含3204名参与者的文章被纳入与迁移相关的元分析及与迁移相关的元回归分析。元分析显示,线索提示对认知负荷的主观评分有统计学显著影响(d = -0.11,95%CI = [-0.19, -0.02],p < 0.05)、对记忆表现有显著影响(d = 0.27,95%CI = [0.08, 0.46],p < 0.01)以及对迁移表现有显著影响(d = 0.34,95%CI = [0.12, 0.56],p < 0.01)。后续的元回归分析表明,线索提示的dSCL能显著预测线索提示的d记忆(β = -0.70,95%CI = [-1.02, -......完整内容请参考原文,我在翻译中尽量保持了原文的结构和专业术语。对于一些特定的医学或学术概念,如“认知负荷理论(CLT)”、“主观总认知负荷(SCL)”等,直接保留了英文缩写,以确保准确性和专业性。如果您对译文有任何疑问或需要进一步解释,请随时告诉我。...... -0.38],p < 0.001),以及线索提示的d迁移(β = -0.60,95%CI = [-0.92, -0.28],p < 0.001)。因此,与认知负荷理论一致,在多媒体材料中添加线索确实可以降低SCL并促进学习成果,并且线索提示降低SCL的程度越大,多媒体学习的记忆保持和迁移效果就越好。

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