Jove
Visualize
联系我们

相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K
Purposive Learning01:22

Purposive Learning

96
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
96
Introduction to Learning01:18

Introduction to Learning

321
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
321
Cognitive Learning01:21

Cognitive Learning

144
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...
144
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

93
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
93
What is Genetic Engineering?00:49

What is Genetic Engineering?

73.1K
Overview
73.1K

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 author

U.S. Medical School Graduates' Intentions to Pursue Patient Care and Non-clinical Career Activities.

Journal of general internal medicine·2026
Same author

From Curiosity To Competence: A Structured Faculty Development Model for AI Integration in Health Professions Education.

Medical science educator·2026
Same author

From AI Literacy to Leadership: Milestones for Faculty Development in Health Professions Education.

Medical science educator·2026
Same author

Assessing the Accreditation Council for Graduate Medical Education's Clinician Educator Milestones.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same author

Accreditation science-the need for evidence to guide the global expansion of medical education accreditation.

Medical teacher·2026
Same author

Redefining social accountability for medical schools - beyond codes and contracts to measuring contributions.

Medical teacher·2026
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

相关实验视频

Updated: May 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.5K

更聪明的教师发展:将GenAI整合到课程开发计划中

Nehal Khamis1,2,3, Belinda Chen1,3, Caroline Egan4

  • 1Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA.

Medical teacher
|March 3, 2025
PubMed
概括
此摘要是机器生成的。

生成型人工智能 (GenAI) 可以在课程开发中增强教师发展. 整合GenAI的结构化练习促进了效率和创造力,同时解决了教育中负责任采用道德问题的问题.

关键词:
生成型的人工智能 (GAI) 是一种人工智能.课程的发展课程的发展.教师的发展教师的发展.

更多相关视频

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

2.4K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

854

相关实验视频

Last Updated: May 24, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.5K
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

2.4K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

854

科学领域:

  • 医学教育 医学教育
  • 教育中的人工智能

背景情况:

  • 生成型人工智能 (GenAI) 为教育带来了变革的潜力.
  • 教师发展 (FD) 计划,特别是课程开发 (CD),可以利用GenAI.
  • 由于对准确性,偏见和道德方面的担忧,负责任的整合至关重要.

研究的目的:

  • 将GenAI整合到现有的教师发展计划中,用于课程开发.
  • 开发结构化的练习,以在CD中与GenAI进行关键参与.

主要方法:

  • 基因AI被纳入了约翰霍普金斯大学的五个CD项目 (2023-2024年).
  • 使用了结构化,可定制的提示,与课程开发的六步方法保持一致.
  • 鼓励学习者在练习和作业期间批判性地评估GenAI输出.

主要成果:

  • 结构化的练习促进了实验,批判性评估和创新.
  • 参与者报告说,他们在工作中提高了效率和创造力.
  • 关键的推动因素包括角色建模,关于GenAI能力/局限性的平衡沟通,以及团队合作.

结论:

  • 基因人工智能可以集成到现有的FD程序中,而不会增加时间或减少严格性.
  • 这项试点项目展示了在各种教育环境中负责和可扩展的GenAI采用模式.
  • 分享研究结果旨在使FD民主化,并促进全球GenAI集成.