The validation and further development of a multidimensional cognitive load scale for virtual environments

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The validation and further development of a multidimensional cognitive load scale for virtual environments. / Andersen, Martin S.; Makransky, Guido.

In: Journal of Computer Assisted Learning, Vol. 37, No. 1, 2021, p. 183-196.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Andersen, MS & Makransky, G 2021, 'The validation and further development of a multidimensional cognitive load scale for virtual environments', Journal of Computer Assisted Learning, vol. 37, no. 1, pp. 183-196. https://doi.org/10.1111/jcal.12478

APA

Andersen, M. S., & Makransky, G. (2021). The validation and further development of a multidimensional cognitive load scale for virtual environments. Journal of Computer Assisted Learning, 37(1), 183-196. https://doi.org/10.1111/jcal.12478

Vancouver

Andersen MS, Makransky G. The validation and further development of a multidimensional cognitive load scale for virtual environments. Journal of Computer Assisted Learning. 2021;37(1):183-196. https://doi.org/10.1111/jcal.12478

Author

Andersen, Martin S. ; Makransky, Guido. / The validation and further development of a multidimensional cognitive load scale for virtual environments. In: Journal of Computer Assisted Learning. 2021 ; Vol. 37, No. 1. pp. 183-196.

Bibtex

@article{19e70dd5af704b22971aa3f8a5170158,
title = "The validation and further development of a multidimensional cognitive load scale for virtual environments",
abstract = "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.",
keywords = "cognitive load, confirmatory factor analysis, item response theory, virtual reality, virtual simulations",
author = "Andersen, {Martin S.} and Guido Makransky",
year = "2021",
doi = "10.1111/jcal.12478",
language = "English",
volume = "37",
pages = "183--196",
journal = "Journal of Computer Assisted Learning",
issn = "0266-4909",
publisher = "Wiley-Blackwell",
number = "1",

}

RIS

TY - JOUR

T1 - The validation and further development of a multidimensional cognitive load scale for virtual environments

AU - Andersen, Martin S.

AU - Makransky, Guido

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - cognitive load

KW - confirmatory factor analysis

KW - item response theory

KW - virtual reality

KW - virtual simulations

U2 - 10.1111/jcal.12478

DO - 10.1111/jcal.12478

M3 - Journal article

AN - SCOPUS:85091135125

VL - 37

SP - 183

EP - 196

JO - Journal of Computer Assisted Learning

JF - Journal of Computer Assisted Learning

SN - 0266-4909

IS - 1

ER -

ID: 253141719