A Skill Learning during Heuristic Problem Solving: An fMRI Study

2012 ◽  
pp. 38-49 ◽  
Author(s):  
Zhoujun Long ◽  
Xuyan Wang ◽  
Xiangsheng Shen ◽  
Sanxia Fan ◽  
Haiyan Zhou ◽  
...  
Keyword(s):  
Problem Solving ◽  
Skill Learning ◽  
Fmri Study ◽  
Heuristic Problem Solving

Heuristic problem solving.

2012 ◽  
pp. 21-34
Author(s):  
Herbert A. Simon
Keyword(s):  
Problem Solving ◽  
Heuristic Problem Solving

fMRI study in posterior cingulate and adjacent precuneus cortex in healthy elderly adults using problem solving task

2012 ◽  
Vol 318 (1-2) ◽  
pp. 135-139 ◽  
Author(s):  
Guangwei Jin ◽  
Kuncheng Li ◽  
Yulin Qin ◽  
Ning Zhong ◽  
Haiyan Zhou ◽  
...  
Keyword(s):  
Problem Solving ◽  
Elderly Adults ◽  
Posterior Cingulate ◽  
Healthy Elderly ◽  
Fmri Study ◽  
Problem Solving Task

Heuristic problem solving

1962 ◽  
Vol 5 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Paul J. Gordon
Keyword(s):  
Problem Solving ◽  
Heuristic Problem Solving

fMRI study of problem-solving after severe traumatic brain injury

Brain Injury ◽  
2006 ◽  
Vol 20 (10) ◽  
pp. 1019-1028 ◽  
Author(s):  
Fabienne Cazalis ◽  
Antoine Feydy ◽  
Romain Valabrègue ◽  
Mélanie Pélégrini-Issac ◽  
Laurent Pierot ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Problem Solving ◽  
Severe Traumatic Brain Injury ◽  
Fmri Study

scholarly journals Reactivating Memories from a Mathematical Task over a Period of Sleep

2021 ◽  
Author(s):  
Adrianna M Bassard ◽  
Ken A Paller
Keyword(s):  
Problem Solving ◽  
Response Time ◽  
Slow Wave Sleep ◽  
Mathematical Problem ◽  
Skill Learning ◽  
Final Test ◽  
Memory Reactivation ◽  
Multiplication Problem ◽  
Fact Learning ◽  
Do So

Sleep, especially slow-wave sleep (SWS), has been found to facilitate memory consolidation for many types of learning. Mathematical learning, however, has seldom been examined in this context. Solving multiplication problems involves multiple steps before problems can be mastered or answers memorized, and thus it can depend on both skill learning and fact learning. Here we aimed to test the hypothesis that memory reactivation during sleep contributes to multiplication learning. To do so, we used a technique known as targeted memory reactivation (TMR), or the pairing of newly learned information with specific stimuli that are later presented during sleep. With TMR, specific memories can be reactivated over a period of sleep without disrupting ongoing sleep. We applied TMR during an afternoon nap to reactivate half of the multiplication problems that had previously been practiced. Results showed no effect of TMR on response time or accuracy of multiplication problem solving. Because these results were unexpected, we also used a variation of this paradigm to examine results in subjects who remained awake. Comparisons between the wake and sleep groups showed no difference in response time or accuracy in either the initial test or the final test. Although neither TMR nor sleep differentially influenced multiplication performance, correlational analysis provided some clues about mathematical problem solving and sleep. On the basis of these findings, even though they did not provide convincing support for our hypotheses, we suggest future experiments that could help produce a better understanding of the relevance of sleep and memory reactivation for this type of learning.

The Heuristic Problem-Solving Approach

1983 ◽  
Vol 34 (10) ◽  
pp. 927-934 ◽  
Author(s):  
L. R. Foulds
Keyword(s):  
Problem Solving ◽  
Heuristic Problem Solving

scholarly journals THE NEUROPHYSIOLOGICAL ACTIVATIONS OF NOVICE AND EXPERIENCED PROFESSIONALS WHEN DESIGNING AND PROBLEM-SOLVING

2020 ◽  
Vol 1 ◽  
pp. 1569-1578
Author(s):  
S. Vieira ◽  
J. Gero ◽  
V. Gattol ◽  
J. Delmoral ◽  
S. Li ◽  
...  
Keyword(s):  
Problem Solving ◽  
Layout Design ◽  
Basic Design ◽  
Open Design ◽  
Fmri Study ◽  
Industrial Designers ◽  
Block Experiment

AbstractWe present results from an EEG experiment EEG to measure neurophysiological activation to study novice and experienced designers when designing and problem-solving. We adopted and extended the tasks described in a previous fMRI study. The block experiment consists of 3 tasks: problem-solving, basic design, and open layout design. The block is preceded by a familiarizing pre-task and extended to an open design sketching task. Results from 36 sessions of mechanical engineers and industrial designers indicate significant differences in activations between the problem-solving and the design tasks.

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