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相关概念视频

Cognitive Learning01:21

Cognitive Learning

219
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
219
Creative Thinking01:25

Creative Thinking

395
Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
Divergent thinking is the...
395
Encoding01:19

Encoding

127
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
127
Problem-Solving01:29

Problem-Solving

130
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
130
Reason and Intuition01:37

Reason and Intuition

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Cause and Effect01:53

Cause and Effect

10.9K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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相关实验视频

Updated: May 31, 2025

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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关系编码促进了解决问题的创造性洞察力.

Kenneth J Kurtz1, Leif Haley2, Alexus Longo2

  • 1Department of Psychology, Binghamton University, PO Box 6000, Binghamton, NY, 13902, USA. kkurtz@binghamton.edu.

Memory & cognition
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

专注于问题元素之间的关系可以增强创造性解决问题的能力. 这项研究表明,关系编码显著提高了洞察力解决问题的成功,提供了一种提高认知灵活性的新技术.

关键词:
取决于上下文的属性创造性的认知创造性的认知.洞察力解决问题的解决方法问题编码 问题编码关系编码是关系编码.

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相关实验视频

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科学领域:

  • 认知心理学 认知心理学
  • 创造力研究 创意研究
  • 解决问题的研究 解决问题的研究

背景情况:

  • 创造性思维和洞察力解决问题是复杂的认知过程.
  • 个人经常面临难以洞察问题的困难,有有限的方法来提高绩效.
  • 了解促进创造性认知的因素是一个关键的研究领域.

研究的目的:

  • 研究一种促进创造性认知的新技术.
  • 为了确定是否专注于关系编码可以增强洞察力解决问题.
  • 探索克服创造性解决问题的局限性的方法.

主要方法:

  • 为了测试关系编码的有效性,进行了两项实验.
  • 参与者被指导生成关联性内容,将问题情况的元素连接起来.
  • 使用关系编码和控制组之间的洞察问题表现进行了比较.

主要成果:

  • 参与关系编码的参与者更有可能解决洞察问题.
  • 关系编码的新技术在促进创造性认知方面被证明是有效的.
  • 对照组在解决洞察力问题的成功率明显较低.

结论:

  • 关系编码是一种可行的技术,可以增强洞察力解决问题.
  • 更多地关注问题元素之间的关系可以改善创造性认知.
  • 这些发现对创造力的理论理解和实际应用都有影响.