Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Creative Thinking01:25

Creative Thinking

1.0K
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...
1.0K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

268
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
268
Solving Problems in Physics02:32

Solving Problems in Physics

7.1K
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...
7.1K
Critical Thinking II01:25

Critical Thinking II

3.3K
Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
3.3K
Cognitive Learning01:21

Cognitive Learning

589
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...
589
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

8.9K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
8.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

Two-factor synaptic plasticity enables memory consolidation during neuronal burst firing.

PNAS nexus·2026
Same journal

Individual curiosity modulates exploration in sequential book selection.

PNAS nexus·2026
Same journal

On phase transitions to interdisciplinary and convergent research.

PNAS nexus·2026
Same journal

Confident judgments of (mis)information veracity are more, rather than less, accurate.

PNAS nexus·2026
Same journal

Can AI help reduce prejudice? Evaluating the effectiveness of AI-powered personalized persuasion on support for transgender rights.

PNAS nexus·2026
Same journal

A cultural explanation for parole decisions in the United States.

PNAS nexus·2026
查看所有相关文章

相关实验视频

Updated: Sep 17, 2025

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.8K

跨领域的创造力:科学,工程,数学,计算机科学,技术和艺术方面的想法.

Julio M Ottino1,2

  • 1Ford Engineering Design Center, Northwestern University, 2133 Sheridan Road, Evanston, IL 60208, USA.

PNAS nexus
|July 2, 2025
PubMed
概括
此摘要是机器生成的。

创造力在科学,工程,数学,计算机科学,技术和艺术中至关重要. 这种视角提供了一个统一的创意景观,包括通过计算工具和人工智能加速它的视角.

更多相关视频

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.1K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

相关实验视频

Last Updated: Sep 17, 2025

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.8K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.1K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.6K

科学领域:

  • 跨学科研究包括科学,工程,数学,计算机科学,技术和艺术.

背景情况:

  • 创造力是许多领域进步和运作的基础.
  • 现有的关于创造力的研究在这些领域分布不均.
  • 创造力的跨学科表现推动了人类的创新和自豪感.

研究的目的:

  • 为了呈现一个广泛的,统一的视角,在广的创意的景观.
  • 探索不同领域,个人和团队的创造力.
  • 检查计算工具和人工智能对创造力的影响.

主要方法:

  • 复习创造性流动性的历史例子.
  • 分析计算工具和人工智能如何影响创造力.
  • 综合信息跨多个领域和规模 (个人到团队).

主要成果:

  • 创造力是跨越看似不同领域的统一因素.
  • 计算工具和人工智能有可能显著影响和加速创作过程.
  • 需要一个整体的观点来欣赏创造力的全部范围.

结论:

  • 了解创造力需要一个统一的,跨学科的方法.
  • 计算工具和人工智能的整合代表了创意努力的新前沿.
  • 认识到创造力的跨领域性质对于未来的创新至关重要.