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相关概念视频

Problem-Solving01:29

Problem-Solving

194
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:
194
Biot-Savart Law: Problem-Solving00:59

Biot-Savart Law: Problem-Solving

2.7K
The magnitude and direction of a magnetic field created by a steady current can be calculated using the Biot-Savart law.
Consider a mobile phone battery bank as a source of steady current, which flows through the wire connected between the two. What is the magnitude of the magnetic field created by this current at a field point P?
To estimate the magnitude of the total magnetic field, we first consider a small current element of length dl, at a distance r from the field point. Now the following...
2.7K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

667
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
667
Solving Problems in Physics02:32

Solving Problems in Physics

5.9K
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...
5.9K
Cognitive Learning01:21

Cognitive Learning

420
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...
420
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

448
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
448

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相关实验视频

Updated: Jul 17, 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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一个不方便的事实:困难的问题很少有简单的解决方案.

Christina A Roberto1

  • 1Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, USA. croberto@pennmedicine.upenn.edu; https://peachlab.org/.

The Behavioral and brain sciences
|August 30, 2023
PubMed
概括

对于气候变化等全球性问题,个人层面的干预措施 (i-frame) 不足. 行为科学家应该优先考虑系统解决方案 (s-frame) 以获得更大的影响.

科学领域:

  • 行为科学 行为科学
  • 全球健康 全球健康
  • 环境科学 环境科学

背景情况:

  • 个人层面的干预措施 (i-frame) 通常很容易实施,但无法解决重大全球挑战.
  • 大量的资源被分配给i-frame解决方案,从更有影响力的方法转移焦点.

研究的目的:

  • 突出个人级别干预全球问题的局限性.
  • 在行为科学中倡导向系统解决方案 (s-frame) 的转变.

主要方法:

  • 对干预有效性的概念分析.
  • 关于全球问题解决方法的文献综述.

主要成果:

  • 个人层面的干预措施不足以解决复杂的全球问题,如气候变化,金融不安全和不健康的饮食.
  • 投资于无效的i-frame干预措施的资源阻碍了开发和实施有效的s-frame解决方案.

结论:

  • 行为科学家必须将努力从i框架转向s框架解决方案.
  • 优先考虑系统干预对于解决世界上最严重的问题至关重要.

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