当前位置: X-MOL 学术J. Comput. Assist. Learn. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The validation and further development of a multidimensional cognitive load scale for virtual environments
Journal of Computer Assisted Learning ( IF 3.761 ) Pub Date : 2020-09-21 , DOI: 10.1111/jcal.12478
Martin S. Andersen 1 , Guido Makransky 1
Affiliation  

Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL) dimension into three sub‐scales relevant for VLE: EL instructions, EL interaction, and EL environment. We investigated the validity of the measures using the Partial Credit Model (PCM), Confirmatory Factor Analysis (CFA), and correlations with retention tests. Study 1 (n = 73) investigated the adapted version of the CLS. Study 2 describes the development and validation of the Multidimensional Cognitive Load Scale for Virtual Environments (MCLSVE), with 140 students in higher education. Study 3 tested the generalizability of the results with 121 higher education students in a more complicated VLE. The results provide initial evidence for the validity and reliability of the MCLSVE.

中文翻译:

虚拟环境多维认知负荷量表的验证和进一步发展

在虚拟学习环境(VLE)中,测量认知负荷很重要。因此,有效而可靠的认知负荷量度对于支持VLE中的教学设计很重要。通过三项研究,我们研究了Leppink认知负荷量表(CLS)的有效性和可靠性,并将外部认知负荷(EL)维度划分为与VLE相关的三个子量表:EL指令,EL交互作用和EL环境。我们使用部分信用模型(PCM),验证性因子分析(CFA)以及与保留测试的相关性研究了这些措施的有效性。研究1(n= 73)研究了CLS的改编版本。研究2描述了虚拟环境的多维认知负荷量表(MCLSVE)的开发和验证,其中140名学生接受了高等教育。研究3在更复杂的VLE中用121名高等教育学生测试了结果的可推广性。结果为MCLSVE的有效性和可靠性提供了初步证据。
更新日期:2020-09-21
down
wechat
bug