Validity evidence for an instrument for cognitive load for virtual didactic sessions

dc.contributor.authorHickam, Grace
dc.contributor.authorJordan, Jaime
dc.contributor.authorHaas, Mary R. C.
dc.contributor.authorWagner, Jason
dc.contributor.authorManthey, David
dc.contributor.authorCico, Stephen John
dc.contributor.authorWolff, Margaret
dc.contributor.authorSanten, Sally A.
dc.contributor.departmentEmergency Medicine, School of Medicine
dc.date.accessioned2023-10-31T14:30:21Z
dc.date.available2023-10-31T14:30:21Z
dc.date.issued2022-02-01
dc.description.abstractBackground: COVID necessitated the shift to virtual resident instruction. The challenge of learning via virtual modalities has the potential to increase cognitive load. It is important for educators to reduce cognitive load to optimize learning, yet there are few available tools to measure cognitive load. The objective of this study is to identify and provide validity evidence following Messicks' framework for an instrument to evaluate cognitive load in virtual emergency medicine didactic sessions. Methods: This study followed Messicks' framework for validity including content, response process, internal structure, and relationship to other variables. Content validity evidence included: (1) engagement of reference librarian and literature review of existing instruments; (2) engagement of experts in cognitive load, and relevant stakeholders to review the literature and choose an instrument appropriate to measure cognitive load in EM didactic presentations. Response process validity was gathered using the format and anchors of instruments with previous validity evidence and piloting amongst the author group. A lecture was provided by one faculty to four residency programs via ZoomTM. Afterwards, residents completed the cognitive load instrument. Descriptive statistics were collected; Cronbach's alpha assessed internal consistency of the instrument; and correlation for relationship to other variables (quality of lecture). Results: The 10-item Leppink Cognitive Load instrument was selected with attention to content and response process validity evidence. Internal structure of the instrument was good (Cronbach's alpha = 0.80). Subscales performed well-intrinsic load (α = 0.96, excellent), extrinsic load (α = 0.89, good), and germane load (α = 0.97, excellent). Five of the items were correlated with overall quality of lecture (p < 0.05). Conclusions: The 10-item Cognitive Load instrument demonstrated good validity evidence to measure cognitive load and the subdomains of intrinsic, extraneous, and germane load. This instrument can be used to provide feedback to presenters to improve the cognitive load of their presentations.
dc.eprint.versionFinal published version
dc.identifier.citationHickam G, Jordan J, Haas MRC, et al. Validity evidence for an instrument for cognitive load for virtual didactic sessions. AEM Educ Train. 2022;6(1):e10718. Published 2022 Feb 1. doi:10.1002/aet2.10718
dc.identifier.urihttps://hdl.handle.net/1805/36811
dc.language.isoen_US
dc.publisherWiley
dc.relation.isversionof10.1002/aet2.10718
dc.relation.journalAEM Education and Training
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectVirtual resident instruction
dc.subjectCognitive load
dc.subjectCOVID
dc.titleValidity evidence for an instrument for cognitive load for virtual didactic sessions
dc.typeArticle
ul.alternative.fulltexthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771887/
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