Verification of Cognitive Load Theory with Psychophysiological Measures in Complex Problem-Solving

被引:0
作者
Il-Hyun Jo
Jeonghyun Kim
机构
[1] Ewha Womans University,Department of Educational Technology
[2] Ewha Womans University,Edutech Convergence Lab
来源
The Asia-Pacific Education Researcher | 2020年 / 29卷
关键词
Cognitive load; Psychophysiological measures; Complex problem-solving;
D O I
暂无
中图分类号
学科分类号
摘要
Psychophysiological responses have been studied as objective indicators for measuring a learner’s cognitive load. Previous studies have correlated pupil dilation or fixation length with increased cognitive load. Our aims were to confirm whether these findings could be applied in a general learning context and to verify the additivity hypothesis of cognitive load theory based on psychophysiological responses. Three responses (i.e., mean pupil diameter, area under the pupil response curve, and sum of fixation duration) were recorded while 94 participants completed a computer-based test. Participants were randomly assigned to low (n = 46) or high (n = 48) extraneous cognitive load conditions. Because the given test, which consisted of a low and a high task complexity problem, was the same for all participants, the difference in intrinsic cognitive load was compared as a within-subjects factor. Each psychophysiological indicator was calculated and compared under different intrinsic and extraneous cognitive load conditions. The results showed that psychophysiological responses significantly distinguished the differences in intrinsic and extraneous cognitive loads. In addition, the sum of the different types of cognitive loads corresponded to the total cognitive load. Based on the results, further studies are suggested to apply psychophysiological responses as the standard of judgment for different levels of cognitive load.
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页码:417 / 429
页数:12
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共 82 条
[1]  
Beatty J(1982)Task-evoked pupillary responses, processing load, and the structure of processing resources Psychological bulletin 91 276-238
[2]  
Blikstein P(2016)Multimodal learning analytics and education data mining: Using computational technologies to measure complex learning tasks Journal of Learning Analytics 3 220-6
[3]  
Worsley M(2015)Pupil response diameter is modulated as a function of cognitive load during mental addition: A psychophysiological protocol and study Journal of Advanced Neuroscience Research 2 1-61
[4]  
Bourisly AK(2003)Direct measurement of cognitive load in multimedia learning Educational Psychologist 38 53-134
[5]  
Brunken R(2010)Cognitive load theory, educational research, and instructional design: Some food for thought Instructional science 38 105-12
[6]  
Plass JL(2014)What does germane load mean? An empirical contribution to the cognitive load theory Frontiers in Psychology 5 1-1367
[7]  
Leutner D(2011)Psychophysiological measures of human cognitive states applied in human computer interaction Procedia Computer Science 3 1361-274
[8]  
De Jong T(2003)Vagal influence on working memory and attention International Journal of Psychophysiology 48 263-1192
[9]  
Debue N(1964)Pupil size in relation to mental activity during simple problem-solving Science 143 1190-612
[10]  
van De Leemput C(1995)Pupil dilation as a measure of processing load in simultaneous interpretation and other language tasks The Quarterly Journal of Experimental Psychology 48 598-7