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

Response Surface Methodology01:16

Response Surface Methodology

91
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
91
Case Studies01:22

Case Studies

11.6K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
11.6K
Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

5.1K
The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
5.1K

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

Parental Educational Expectations and Academic Achievement of Left-Behind Children in China: The Mediating Role of Parental Involvement.

Behavioral sciences (Basel, Switzerland)·2024
Same author

The Chain Mediating Role of Teachers' Job Stress in the Influence of Distributed School Leadership on Job Satisfaction: Evidence from China, the United States, England, and Australia.

Behavioral sciences (Basel, Switzerland)·2024
Same author

Investigating the Effect of Cognitive-Behavioral, Mindful-Based, Emotional-Based Intervention and Professional Training on Teachers' Job Burnout: A Meta-Analysis.

Behavioral sciences (Basel, Switzerland)·2023
Same author

Interactive Effects and Mediating Roles of Multiple Factors That Influence Learning Adaptative Growth of International Students: Evidence from China.

Behavioral sciences (Basel, Switzerland)·2023
Same author

Adjustment to Chinese Culture and Mental Health Issues among Foreign Students on Chinese University Campuses during the COVID-19 Pandemic: A Collaborative Ethnographic Study.

Behavioral sciences (Basel, Switzerland)·2023
Same author

Investigating Latent Interactions between Students' Affective Cognition and Learning Performance: Meta-Analysis of Affective and Cognitive Factors.

Behavioral sciences (Basel, Switzerland)·2023

相关实验视频

Updated: Jun 6, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.5K

应用支持矢量机 (SVM-RFE) 学习方法来调查学生的科学素养发展:来自亚洲,欧洲和南美洲的证据.

Jian Li1, Jianing Wang2, Eryong Xue3

  • 1Institute of International and Comparative Education, Beijing Normal University, Beijing 100875, China.

Journal of Intelligence
|November 26, 2024
PubMed
概括

这项研究确定了影响亚洲,欧洲和南美洲学生科学素养的30个关键因素. 这些发现为教育工作者和政策制定者提供了关键的见解,旨在改善全球科学教育.

关键词:
机器学习是机器学习.科学教育科学教育教育.科学素养的科学素养支持矢量机器的支持矢量机器.

更多相关视频

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

700
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

相关实验视频

Last Updated: Jun 6, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.5K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

700
Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

9.2K

科学领域:

  • 教育心理学教育心理学
  • 机器学习在教育中的应用
  • 全球教育研究 全球教育研究

背景情况:

  • 科学素养是全球教育的一个关键目标.
  • 现有的研究往往忽视了影响先进科学素养的上下文因素.
  • 在确定与高科学素养相关的特定属性方面存在差距.

研究的目的:

  • 确定与中学生的高级科学素养相关的关键因素.
  • 探索环境因素对科学素养的影响.
  • 为了比较不同大陆的关键因素.

主要方法:

  • 使用了支持矢量机器递归特征消除 (SVM-RFE) 算法,这是一种机器学习技术.
  • 分析了162个背景因素的广泛集合.
  • 研究了来自亚洲,欧洲和南美洲的学生样本.

主要成果:

  • 确定了30个关键因素,表明出色的科学素养.
  • 在整个数据集中对这些因素进行了全面分析.
  • 在各大洲之间对最佳因素进行了比较检查.

结论:

  • 这些30个因素对于制定有效的教育政策至关重要.
  • 教育政策制定者和学校领导人应该考虑这些因素,以促进科学素养.
  • 研究结果提供了一种数据驱动的方法,以提高全球的科学教育.