创造力
心理学
背景(考古学)
脚手架
认知心理学
过程(计算)
前额叶皮质
发散思维
神经科学
认知
计算机科学
社会心理学
数据库
生物
古生物学
操作系统
作者
Zhi Jin,Junting Yin,Yafeng Pan,Yuxuan Zhang,Yangzhuo Li,Xiongwei Xu,Junlong Luo
出处
期刊:NeuroImage
[Elsevier]
日期:2024-08-01
卷期号:297: 120757-120757
标识
DOI:10.1016/j.neuroimage.2024.120757
摘要
Creativity is an indispensable competency in today's innovation-driven society. Yet, the influences of instructional strategy, a key determinant of educational outcomes, on the creativity-fostering process remains an unresolved mystery. We proposed that instructional strategy affects creativity cultivation and further investigated the intricate neural mechanisms underlying this relationship. In a naturalistic laboratory setting, 66 instructor-learner dyads were randomized into three groups (scaffolding, explanation, and control), with divergent thinking instructions separately. Functional near-infrared spectroscopy (fNIRS) hyperscanning simultaneously collected brain signals in the prefrontal cortex and temporal-parietal junction regions. Results indicated that learners instructed with a scaffolding strategy demonstrated superior creative performance both in acquisition (direct learning) and transfer (use in a novel context) of creativity skills, compared to pretest levels. In contrast, the control and explanation groups did not exhibit such effects. Notably, we also observed remarkable interbrain neural synchronization (INS) between instructors and learners in the left superior frontal cortex in the scaffolding group, but not in the explanation or control groups. Furthermore, INS positively predicted enhancements in creativity performance (acquisition and transfer), indicating that it is a crucial neural mechanism in the creativity-fostering process. These findings reveal that scaffolding facilitates the acquisition and transfer of creativity and deepen our understanding of the neural mechanisms underlying the process of creativity-fostering. The current study provides valuable insights for implementing teaching strategies to fostering creativity.
科研通智能强力驱动
Strongly Powered by AbleSci AI