A systematized review of cognitive load theory in health sciences education and a perspective from cognitive neuroscience
نویسندگان
1 Medical Education Research Center, Education Development Center, Isfahan University of Medical Sciences
2 Department of Occupational Therapy, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran
3 Medical Education Research Center, Education Development Center, Isfahan University of Medical Sciences, Department of Occupational Therapy, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
4 Department of Psychiatry, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
doi
چکیده
INTRODUCTION: To design instructions in health sciences education, it is highly relevant to heedthe working memory and the approaches for managing cognitive load. In this article, we tried tomention the implications of cognitive load theory (CLT) for optimizing teaching-learning in healthsciences education and discussing cognitive load from the perspective of cognitive neurosciencesas brain-aware medical education.MATERIALS AND METHODS: We searched databases of Pubmed, Proquest, SCOPUS, and ISIWeb of Science for relevant literature in September 1, 2018.RESULTS: The 27 articles out of a total of 46 records, along with 23 papers from snowballing andhand searching were included in this study. Main items encompassed; “Various types of cognitiveloads,” “Aim of cognitive load theory,” “Strategies to managing Cognitive Load,” “Cognitive Load Theoryin novice and experienced learners and “expertise reversal effect,” Medical and Health SciencesCurriculums and Cognitive Load Theory,” “Challenges of Cognitive Load Theory.”CONCLUSIONS: We discussed six important themes for CLT in health sciences education accordingto the literature. Mental imagery (visualization) as one of the useful techniques to optimize germaneload was suggested, as it processes further gain access to neural circuits that are engaged in sensory,motor, executive, and decision-making pathways in the brain.
