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Equivalence of using a desktop virtual reality science simulation at home and in class.在家中和课堂上使用桌面虚拟现实科学模拟的等效性。
PLoS One. 2019 Apr 11;14(4):e0214944. doi: 10.1371/journal.pone.0214944. eCollection 2019.
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Critical Values for Yen's : Identification of Local Dependence in the Rasch Model Using Residual Correlations.严氏临界值:使用残差相关性识别拉施模型中的局部依赖性
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The interrupted learner: How distractions during live and video lectures influence learning outcomes.被打断的学习者:现场和视频讲座期间的干扰如何影响学习效果。
Anat Sci Educ. 2018 Jul;11(4):366-376. doi: 10.1002/ase.1754. Epub 2017 Nov 27.
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Psychol Methods. 2016 Sep;21(3):369-87. doi: 10.1037/met0000093.
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Does noise affect learning? A short review on noise effects on cognitive performance in children.噪音会影响学习吗?关于噪音对儿童认知表现影响的简短综述。
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Development of an instrument for measuring different types of cognitive load.测量不同类型认知负荷的工具的开发。
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An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS).Rasch测量模型简介:以医院焦虑抑郁量表(HADS)为例
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实体与在线讲座多维认知负荷量表(MCLS-POL)的验证与进一步开发

The Validation and Further Development of the Multidimensional Cognitive Load Scale for Physical and Online Lectures (MCLS-POL).

作者信息

Andersen Martin S, Makransky Guido

机构信息

Department of Psychology, University of Copenhagen, Copenhagen, Denmark.

出版信息

Front Psychol. 2021 Mar 18;12:642084. doi: 10.3389/fpsyg.2021.642084. eCollection 2021.

DOI:10.3389/fpsyg.2021.642084
PMID:33815228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8014070/
Abstract

Cognitive load theory (CLT) has been widely used to help understand the process of learning and to design teaching interventions. The Cognitive Load Scale (CLS) developed by Leppink and colleagues has emerged as one of the most validated and widely used self-report measures of intrinsic load (IL), extraneous load (EL), and germane load (GL). In this paper we investigated an expansion of the CLS by using a multidimensional conceptualization of the EL construct that is relevant for physical and online teaching environments. The Multidimensional Cognitive Load Scale for Physical and Online Lectures (MCLS-POL) goes beyond the CLS's operationalization of EL by expanding the EL component which originally included factors related to instructions/explanations with sub-dimensions including EL stemming from noises, and EL stemming from both media and devices within the environment. Through three studies, we investigated the reliability, and internal and external validity of the MCLS-POL using the Partial Credit Model, Confirmatory Factor Analysis, and differences between students either attending a lecture physically or online (Study 2 and 3). The results of Study 1 ( = 250) provide initial evidence for the validity and reliability of the MCLS-POL within a higher education sample, but also highlighted several potential improvements which could be made to the measure. These changes were made before re-evaluating the validity and reliability of the measure in a new sample of higher education psychology students ( = 140, Study 2), and psychological testing students ( = 119, Study 3). Together the studies provide evidence for a multidimensional conceptualization cognitive load and provide evidence of the validity, reliability, and sensitivity of the MCLS-POL and provide suggestions for future research directions.

摘要

认知负荷理论(CLT)已被广泛用于帮助理解学习过程和设计教学干预措施。莱平克及其同事开发的认知负荷量表(CLS)已成为内在负荷(IL)、外在负荷(EL)和相关负荷(GL)最具效度且使用广泛的自我报告测量工具之一。在本文中,我们通过对与线下和线上教学环境相关的EL结构进行多维概念化,研究了CLS的扩展。用于线下和线上讲座的多维认知负荷量表(MCLS - POL)超越了CLS对EL的操作化,通过扩展EL成分,该成分最初包括与指示/解释相关的因素,其子维度包括源于噪音的EL,以及源于环境中的媒体和设备的EL。通过三项研究,我们使用部分计分模型、验证性因素分析以及线下或线上听课学生之间的差异(研究2和3),研究了MCLS - POL的信度、内部效度和外部效度。研究1(n = 250)的结果为MCLS - POL在高等教育样本中的效度和信度提供了初步证据,但也突出了该测量方法的几个潜在改进之处。在对高等教育心理学专业新样本(n = 140,研究2)和心理测试专业学生(n = 119,研究3)重新评估该测量方法的效度和信度之前,进行了这些更改。这些研究共同为认知负荷的多维概念化提供了证据,为MCLS - POL的效度、信度和敏感性提供了证据,并为未来的研究方向提供了建议。