Literature DB >> 27274609

The cognitive impact of interactive design features for learning complex materials in medical education.

Hyuksoon S Song1, Martin Pusic2, Michael W Nick2, Umut Sarpel3, Jan L Plass4, Adina L Kalet2.   

Abstract

To identify the most effective way for medical students to interact with a browser-based learning module on the symptoms and neurological underpinnings of stroke syndromes, this study manipulated the way in which subjects interacted with a graphical model of the brain and examined the impact of functional changes on learning outcomes. It was hypothesized that behavioral interactions that were behaviorally more engaging and which required deeper consideration of the model would result in heightened cognitive interaction and better learning than those whose manipulation required less deliberate behavioral and cognitive processing. One hundred forty four students were randomly assigned to four conditions whose model controls incorporated features that required different levels of behavioral and cognitive interaction: Movie (low behavioral/low cognitive, n = 40), Slider (high behavioral/low cognitive, n = 36), Click (low behavioral/high cognitive, n = 30), and Drag (high behavioral/high cognitive, n = 38). Analysis of Covariates (ANCOVA) showed that students who received the treatments associated with lower cognitive interactivity (Movie and Slider) performed better on a transfer task than those receiving the module associated with high cognitive interactivity (Click and Drag, partial eta squared = .03). In addition, the students in the high cognitive interactivity conditions spent significantly more time on the stroke locator activity than other conditions (partial eta squared = .36). The results suggest that interaction with controls that were tightly coupled with the model and whose manipulation required deliberate consideration of the model's features may have overtaxed subjects' cognitive resources. Cognitive effort that facilitated manipulation of content, though directed at the model, may have resulted in extraneous cognitive load, impeding subjects in recognizing the deeper, global relationships in the materials. Instructional designers must, therefore, keep in mind that the way in which functional affordances are integrated with the content can shape both behavioral and cognitive processing, and has significant cognitive load implications.

Entities:  

Keywords:  Behavioral interactivity; Cognitive interactivity; Cognitive load; Medical education; Multimedia learning

Year:  2014        PMID: 27274609      PMCID: PMC4892375          DOI: 10.1016/j.compedu.2013.09.017

Source DB:  PubMed          Journal:  Comput Educ        ISSN: 0360-1315            Impact factor:   8.538


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Journal:  Annu Rev Psychol       Date:  2008       Impact factor: 24.137

2.  Just enough, but not too much interactivity leads to better clinical skills performance after a computer assisted learning module.

Authors:  A L Kalet; H S Song; U Sarpel; R Schwartz; J Brenner; T K Ark; J Plass
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3.  Gesturing makes learning last.

Authors:  Susan Wagner Cook; Zachary Mitchell; Susan Goldin-Meadow
Journal:  Cognition       Date:  2007-06-11
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1.  Improving the Clinical Skills Performance of Graduating Medical Students Using "WISE OnCall," a Multimedia Educational Module.

Authors:  Demian Szyld; Kristen Uquillas; Brad R Green; Steven D Yavner; Hyuksoon Song; Michael W Nick; Grace M Ng; Martin V Pusic; Thomas S Riles; Adina Kalet
Journal:  Simul Healthc       Date:  2017-12       Impact factor: 1.929

Review 2.  Measuring Cognitive Load in Embodied Learning Settings.

Authors:  Alexander Skulmowski; Günter Daniel Rey
Journal:  Front Psychol       Date:  2017-08-02

Review 3.  Practical points for brain-friendly medical and health sciences teaching.

Authors:  Sahar Ghanbari; Fariba Haghani; Malahat Akbarfahimi
Journal:  J Educ Health Promot       Date:  2019-10-24

4.  Embodied learning: introducing a taxonomy based on bodily engagement and task integration.

Authors:  Alexander Skulmowski; Günter Daniel Rey
Journal:  Cogn Res Princ Implic       Date:  2018-03-07

5.  Psychometric properties of the Chinese version of the instrument for measuring different types of cognitive load (MDT-CL).

Authors:  Shan Zhang; Ying Wu; Ziyuan Fu; Yating Lu; Qingyu Wang; Liu Mingxuan
Journal:  J Nurs Manag       Date:  2020-03       Impact factor: 3.325

  5 in total

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