Measurement of Extraneous and Germane Cognitive Load in the Mathematics Addition Task: An Event-Related Potential Study

被引:2
|
作者
Wang, Chao-Chih [1 ,2 ]
Cheng, Peter Kuan-Hao [1 ,3 ]
Wang, Tzu-Hua [1 ,4 ]
机构
[1] Natl Tsing Hua Univ, Res Ctr Educ & Mind Sci, Hsinchu 300193, Taiwan
[2] Huizhou Univ, Sch Educ Sci, Huizhou 516007, Peoples R China
[3] Natl Chung Cheng Univ, Ctr Res Cognit Sci, Chiayi 621301, Taiwan
[4] Natl Tsing Hua Univ, Dept Educ & Learning Technol, Hsinchu 300193, Taiwan
关键词
brain activity; cognitive load; mathematics computation; mathematics education; event-related potential; WORKING-MEMORY; MULTIMEDIA; ATTENTION; COMPONENT; CAPACITY; ALPHA;
D O I
10.3390/brainsci12081036
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Cognitive load significantly influences learning effectiveness. All the three types of cognitive load-intrinsic, extraneous, and germane-are important for guiding teachers in preparing effective instructional designs for students. However, the techniques used to assess the relationship between brain activity and cognitive load during learning activities require further investigation. This study preliminarily examined cognitive load during mathematics computations based on cognitive-load theory. We used event-related potentials to compare carryover and without carryover additions under three types of stimuli (uncoloured Arabic numerals, colourful Arabic numerals, and Chinese numerals) to measure learners' cognitive load. According to the concept and rationale of cognitive-load theory, the design defined the extraneous and germane cognitive load to measure the N1 and P2 components and the relevant behavioural data. The highest P2 amplitude was observed in the Chinese numerals condition as extraneous cognitive load, and the N1 component was observed in the colourful Arabic numerals condition as germane cognitive load. Thus, both components may play an important role in extraneous and germane cognitive load. Additionally, these exhibit negative correlations during mathematical computations. This study's findings and implications offer insights into future ways for assessing cognitive load using brain imaging techniques and potential applications for brain-computer interfaces.
引用
收藏
页数:16
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