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相关概念视频

Purposive Learning01:22

Purposive Learning

97
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...
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Law of Effect01:06

Law of Effect

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B.F. Skinner, a prominent figure in behavioral psychology, introduced operant conditioning by emphasizing the role of consequences in shaping behavior. This theory builds upon the law of effect proposed by Edward Thorndike, which posits that behaviors followed by satisfying outcomes are likely to be repeated. In contrast, those followed by unsatisfying outcomes are less likely to recur.
Edward Thorndike's foundational work involved studying learning in animals, particularly using puzzle...
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Cognitive Learning01:21

Cognitive Learning

219
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...
219
Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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Cause and Effect01:53

Cause and Effect

10.9K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Updated: May 29, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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预测学习作为测试效应的基础.

Haopeng Chen1, Cathy Hauspie2, Kate Ergo3

  • 1Department of Experimental Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium. haopeng6688@outlook.com.

Communications psychology
|February 1, 2025
PubMed
概括
此摘要是机器生成的。

测试效应,测试比学习更能提高记忆力,由预测性学习解释. 这发生在测试期间预测和实际答案 (预测错误) 之间的差异增强学习时.

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Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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科学领域:

  • 认知心理学 认知心理学
  • 神经科学是一个神经科学.
  • 计算机建模 计算建模

背景情况:

  • 测试效应是一个经过充分记录的现象,其中检索实践与进一步研究相比,增强了长期保留.
  • 现有的理论提出了基本的学习原理,如赫比式和预测性学习作为基础机制.
  • 预测性学习强调从预测和随后的反 (预测错误) 之间的差异中学习.

研究的目的:

  • 调查预测学习在测试效果中的作用.
  • 提出一个新的框架,在测试过程中预测错误驱动学习.
  • 用计算建模和行为实验来测试这个假设.

主要方法:

  • 开发了结合Hebbian和预测学习原则的关联记忆网络模型.
  • 设计了与人类参与者研究或测试英语-斯瓦希利单词对的行为实验.
  • 收集了识别记忆数据,并将10种不同的计算模型与行为结果相匹配.

主要成果:

  • 在提供反时,行为实验始终显示出强大的测试效应.
  • 模型匹配分析表明,结合预测学习的模型在解释观察到的数据方面优越.
  • 只有集成预测学习的计算模型才能解释测试效应数据的全部范围.

结论:

  • 这些发现强烈表明,预测性学习,特别是通过预测错误,是测试效应背后的关键机制.
  • 这项研究为了解测试如何增强记忆提供了计算和经验基础.
  • 这项研究强调了预测错误在关联记忆和学习中的重要性.