Abstract

Cognitive Load theory (CLT) focuses on the information processing aspect of learning and how the working memory handles the mental effort associated with new task. The aim of this study is to investigatethe association between the perceived cognitive load and performance amongst dental students during preclinical simulation training at various levels of procedural task complexity. Additionally, some cognitive load-modifying factors were examined. This cross-sectional study evaluated the perceived cognitive load amongst second-year dental students (n= 34), using the validated National Aeronautics and Space Administration's Task Load Index (NASA TLX index) after training on four dental tasks at two levels of complexity, in addition to structured online anonymous questionnaire about demographics, feedback and performance. The NASA TLX raw scores and the weighted global score were calculated for each exercise. Descriptive statistics and Pearson's correlations between performance and the corresponding NASA TLX-weighted score were calculated. Mean differences in the perceived cognitive load across the exercise levels were assessed using RM-ANOVA with Bonferroni corrections at p< .05. Reduced performance was significantly associated with higher cognitive load particularly in high complexity dental task (class II-mirror vision). Simulated exercise complexity significantly influenced the students' perceived mental demand, physical demand and temporal demand; all were significantly higher for class II- mirror vision task than for direct vision tasks. The majority of participants (82.1%) preferred detailed feedback from instructors, and more than half of the participants (60.7%) preferred continuous feedback throughout the training session. Complex dental tasks are associated with higher cognitive load in novice dental students during preclinical training. The NASA TLX index is a useful instrument to explore the level of perceived cognitive load associated with performance of simulated complex dental skills. Cognitive load theory is relevant to simulation-based dental education to improve the preclinical instructional efficiency and to enhance students learning.

Full Text
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