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

Optimal Arousal Theory01:23

Optimal Arousal Theory

151
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
151
Human Genetics01:28

Human Genetics

547
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
547
Attribution Theory00:56

Attribution Theory

12.9K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
12.9K
Humanistic Psychology01:24

Humanistic Psychology

1.1K
Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
1.1K
Ryan and Deci's Self-Determination Theory01:17

Ryan and Deci's Self-Determination Theory

11.5K
Self-Determination Theory (SDT), formulated by Richard Ryan and Edward Deci, explains that human motivation is driven by three fundamental psychological needs: autonomy, competence, and relatedness. When these needs are met, individuals experience personal growth, intrinsic motivation, and overall well-being.
Autonomy is the need to feel in control of one's actions and decisions. For example, a student who chooses their research topic is likely to be more engaged and motivated than one who...
11.5K
Social Cognitive Perspective on Personality01:30

Social Cognitive Perspective on Personality

514
Social cognitive perspectives on personality emphasize the importance of conscious awareness, beliefs, expectations, and goals in shaping behavior. These perspectives incorporate behaviorist principles, such as learning through reinforcement and conditioning, but extend beyond them by highlighting human reasoning and planning. Unlike traditional behaviorist views, social cognitive theory focuses on how individuals reflect on their past experiences and plan for future outcomes by considering...
514

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

Copy number variant scores are associated with cerebrovascular pathology in aging.

Molecular psychiatry·2026
Same author

Polygenic Associations Between Motor Behavior, Neuromotor Traits, and Active Music Engagement in Four Cohorts.

Annals of the New York Academy of Sciences·2026
Same author

GWAS of Active Music Engagement Frequency in the Canadian Longitudinal Study on Aging.

Research square·2026
Same author

Adolescent cannabis use and psychological distress from 2013 to 2023: A population-based study in Ontario, Canada.

Addiction (Abingdon, England)·2026
Same author

Brain-cognition relationships and treatment outcome in treatment-resistant late-life depression.

Research square·2025
Same author

Polygenic Associations between Motor Behaviour, Neuromotor Traits, and Active Music Engagement in Four Cohorts.

bioRxiv : the preprint server for biology·2025

相关实验视频

Updated: Jun 13, 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

2.6K

确定青少年热情的心理社会和生态决定因素:使用机器学习进行整合性横截面分析.

Roberta M Dolling-Boreham1,2, Akshay Mohan2,3, Mohamed Abdelhack2

  • 1Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

JMIR public health and surveillance
|September 12, 2024
PubMed
概括

良好的身体健康,强大的家长沟通和学校归属是年轻人对未来的热情的关键. 这些因素对于改善青少年整体福祉和未来成功至关重要.

关键词:
安大略省学生药物使用和健康调查 (OSDUHS)沙普利的添加剂解释 (SHAP)这些决定因素是决定性的.生态生态生态的生态.热情 热情 热情 热情极端梯度提升 (XGBoost) 的方法机器学习是机器学习.心理健康 心理健康这是心理社会心理社会.公共卫生公共卫生.自己报告的自我报告.学生 学生 学生 学生主观的幸福感 的主观的幸福感幸福感就是幸福感.年轻人年轻人年轻人年轻人年轻人年轻人

更多相关视频

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.5K
Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.5K

相关实验视频

Last Updated: Jun 13, 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

2.6K
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.5K
Measuring Engagement of Spectators of Social Digital Games
14:02

Measuring Engagement of Spectators of Social Digital Games

Published on: July 3, 2021

3.5K

科学领域:

  • 青少年健康 青少年健康
  • 青少年福利 青少年福利
  • 公共卫生 公共卫生

背景情况:

  • 年轻人的心理健康是公共卫生重点.
  • 对未来的热情表明幸福,并预测成功.
  • 之前的研究经常孤立地分析因素.

研究的目的:

  • 确定与年轻人对未来的热情相关的因素.
  • 利用机器学习进行全面分析.
  • 为青少年福祉提供公共政策和计划的信息.

主要方法:

  • 分析了来自2019年安大略省学生毒品使用和健康调查 (OSDUHS) 的13,661名学生 (7至12年级) 的数据.
  • 使用极端梯度增强 (机器学习算法) 来识别关键预测因素.
  • 使用Shapley添加式解释 (SHAP) 来对特征的重要性进行排名并探索相互作用.

主要成果:

  • 热情的顶级预测因素包括自我评估的身体健康,与父母讨论问题的能力和学校的归属性.
  • 学校的主观社会地位也很重要,显示出非线性影响.
  • 机器学习确定了这些因素与未来前景密切相关.

结论:

  • 感知到的身体健康,学校连接和父母关系对于年轻人的热情至关重要.
  • 专注于身体健康的感知和学校的归属性可以提高青少年的幸福感.
  • 机器学习有效地确定了年轻学生未来前景的关键驱动因素.