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

Cognitive Learning01:21

Cognitive Learning

237
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...
237
Associative Learning01:27

Associative Learning

340
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
340
Vygotsky's Cognitive Development in Cultural Context01:22

Vygotsky's Cognitive Development in Cultural Context

65
Lev Vygotsky, a pioneering Russian psychologist, developed a theory of cognitive development that centers on the influence of social and cultural factors. Unlike Jean Piaget, who emphasized the child's direct interaction with the physical world as key to development, Vygotsky argued that cognitive growth is an interpersonal process that unfolds within a cultural context. For Vygotsky, a child's learning cannot be separated from their social environment, which includes the values,...
65
Observational Learning01:12

Observational Learning

166
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
166
Purposive Learning01:22

Purposive Learning

118
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...
118
Steps in the Modeling Process01:14

Steps in the Modeling Process

200
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
200

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

Application of Cell-Free DNA Barcode-Enabled Single-Molecule Test for Non-Invasive Prenatal Testing of α-Thalassemia and β-Thalassemia.

Journal of clinical laboratory analysis·2026
Same author

<i>Dendrobium officinale</i> polysaccharide prevents liver injury via the regulation of Keap1/Nrf2 pathway and lipid metabolism in acute alcoholic liver injury mice.

Natural product research·2026
Same author

[Effect and mechanism of Ligustrum robustum extract in intervening in lipid metabolism pathways to reduce lipid levels in hyperlipidemic mice].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2026
Same author

AlGaN/GaN HEMT H₂ sensor with integrated Wheatstone bridge and on-chip microheater for 0.1-ppm detection.

Microsystems & nanoengineering·2026
Same author

BLM as a potential therapeutic target in cutaneous malignant melanoma.

Biochemical pharmacology·2026
Same author

Deciphering the role of per- and polyfluoroalkyl substances in prostate cancer: a multi-omics and computational toxicology approach.

Frontiers in cell and developmental biology·2026

相关实验视频

Updated: Jun 25, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.3K

心理因素增强了异质学习互动图表知识跟踪,以了解学习过程.

Zhifeng Wang1,2, Wanxuan Wu2, Chunyan Zeng3

  • 1Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China.

Frontiers in psychology
|May 27, 2024
PubMed
概括

这项研究引入了一种新的知识追踪模型 (Psy-KT),该模型结合了心理因素和忘记曲线来预测学生的表现. 该模型通过提供对学生学习行为更准确的见解来增强教育技术.

关键词:
图形神经网络的神经网络项目响应理论.知识追踪知识追踪学习过程学习过程.心理因素 心理因素

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
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.4K

相关实验视频

Last Updated: Jun 25, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.3K
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
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.4K

科学领域:

  • 教育技术的教育技术
  • 教育中的人工智能
  • 认知科学 认知科学

背景情况:

  • 在线教育正在迅速扩大,对个性化学习体验的需求不断增加.
  • 知识追踪模型预测学生的技能熟练程度,但往往忽视心理状态.
  • 现有的模型忽略了诸如学生丧,困惑,专注和无聊等关键因素.

研究的目的:

  • 引入一种新的心理因素增强异质学习交互图知识跟踪模型 (Psy-KT).
  • 通过结合心理因素和遗忘曲线来解决当前知识追踪模型的局限性.
  • 提高教育环境中学生绩效预测的准确性和可解释性.

主要方法:

  • 开发了一个异质图表来模拟学生,练习和技能之间的相互作用.
  • 整合了四个心理因素:挫折,困惑,集中和无聊.
  • 纳入忘记曲线和物件响应理论 (IRT) 进行增强的学习过程建模和性能预测.

主要成果:

  • Psy-KT模型在四个公共数据集中预测未来学生表现方面表现出卓越的表现.
  • 心理和遗忘因素的整合显著提高了预测准确度.
  • 该模型提供了对学生学习行为更全面的理解.

结论:

  • Psy-KT模型通过考虑心理状态和学习动态,为知识追踪提供了更全面的方法.
  • 提高预测准确度使教育工作者能够提供更有针对性的辅导和个性化的学习建议.
  • 这项研究有助于在EdTech中推进自适应式学习系统.