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相关概念视频

Problem-Solving01:29

Problem-Solving

138
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:
138
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

99
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
99
Solving Problems in Physics02:32

Solving Problems in Physics

5.7K
Problem-solving is the ability to apply general physical principles to specific situations, usually expressed by equations. It is an essential skill in physics, and can also be useful for applying physics in everyday life as well. Analytical skills and problem-solving abilities can be applied to new situations, compared to a list of facts, which can never be extensive enough to include every possible circumstance. To solve physics problems, a certain amount of creativity and insight is...
5.7K
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

587
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
587
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

59
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
59
Cognitive Learning01:21

Cognitive Learning

222
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...
222

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相关实验视频

Updated: Jun 10, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

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在寻找问题

Mu-Ming Poo1

  • 1Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.

Cell
|October 18, 2024
PubMed
概括

这项研究突出了从物理学到生物学的旅程, 关键事件和合作塑造了研究方向,特别是在中国神经科学和非人类灵长类动物研究中.

科学领域:

  • 神经科学
  • 生物物理

背景情况:

  • 从物理到生物研究的职业转变.
  • 不断学习和探索复杂的生物问题.

研究的目的:

  • 描述影响研究主题选择的关键事件.
  • 突出学生和博士后对研究多样性的影响.
  • 详细介绍中国神经科学和非人类灵长类研究的参与.

主要方法:

  • 对职业道路和研究决策进行回顾性分析.
  • 对科学和教育项目的定性审查.

主要成果:

  • 一个跨越多个生物领域的多样化研究组合.
  • 在中国神经科学方面做出重大贡献.
  • 在非人类灵长类研究方面有丰富的经验.

结论:

  • 通过个人好奇心和协作动态形成的研究轨迹.
  • 跨学科背景 (物理) 提供了生物研究方法.
  • 在神经科学和灵长类研究的特定领域建立了专业知识.

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