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相关概念视频

Cognitive Learning01:21

Cognitive Learning

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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.
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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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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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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相关实验视频

Updated: Jul 25, 2025

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
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根据电子学习环境中的模糊云认知诊断框架预测考生表现.

Hua Ma1,2, Zhuoxuan Huang1, Haibin Zhu3

  • 1Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, China.

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概括
此摘要是机器生成的。

本研究引入了一个模糊云认知诊断框架 (FC-CDF) 来预测学生在电子学习中的表现. 这种新的方法提高了技能能力测量和诊断效率,以实现个性化的教育.

关键词:
云模型 云模型 云模型认知诊断是一种认知诊断.预测考生绩效 预测考生绩效在电子学习环境中.

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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:

  • 认知诊断模型 (CDM) 评估学习者对绩效预测和个性化电子学习的技能.
  • 现有的CDM面临着复杂技能,不确定的熟练程度和大数据集的局限性,影响测量和效率.
  • 准确预测学习者表现对于有效的电子学习策略至关重要.

研究的目的:

  • 提出一种新的模糊云认知诊断框架 (FC-CDF),用于预测电子学习环境中的考生表现.
  • 解决现有CDM在测量技能能力和诊断效率方面的局限性.
  • 通过准确的绩效预测,增强个人化电子学习指导的决策支持.

主要方法:

  • 利用正常云模型 (NCM) 来测量学习者技能熟练度的期望,变化和频率.
  • 将NCM转换为间隔模糊数字来表示技能熟练程度的不确定性.
  • 综合教育心理学假设与参数估计以确定技能水平和项目滑落/猜测因子.

主要成果:

  • 拟议的FC-CDF准确地预测了考生在电子学习中的表现.
  • 与现有方法相比,这种方法显著减少了执行时间.
  • 证明了用于认知诊断的改进的测量机制和诊断效率.

结论:

  • FC-CDF为电子学习中的认知诊断和绩效预测提供了一个强大的框架.
  • 这种方法有效地处理技能复杂性和学习者熟练度的不确定性.
  • 这些发现支持在数字学习环境中加强个性化的教学和决策.