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相关概念视频

Metacognition01:26

Metacognition

167
Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
167
What are Estimates?01:06

What are Estimates?

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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
5.1K
Regression Toward the Mean01:52

Regression Toward the Mean

6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

107
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
107
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Associative Learning01:27

Associative Learning

404
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...
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Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
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学习元学习 (LML) 数据集:对元学习参数的调查数据.

Sonia Corraya1, Shamim Al Mamun1, M Shamim Kaiser1

  • 1Institute of Information Technology, Jahangirnagar University, Bangladesh.

Data in brief
|December 6, 2023
PubMed
概括

本研究介绍了"学习元学习"数据集,包含各种成人学习者数据,以告知教育设计. 数据集有助于理解学习者特征,以改善课程开发和教学策略.

科学领域:

  • 教育心理学教育心理学
  • 数据科学数据科学数据科学
  • 成人学习 成人学习

背景情况:

  • 了解成年学习者的多样性对于有效的教育策略至关重要.
  • 现有的数据集可能无法捕捉影响成人学习的细微因素.
  • 超级学习参数为个人学习过程提供了洞察力.

研究的目的:

  • 介绍和描述"学习元学习" (LML) 数据集.
  • 为研究提供成人学习者特征的原始数据.
  • 促进学术课程和专业培训的重新设计.

主要方法:

  • 通过匿名在线调查从孟加拉国1021名大学生收集的数据.
  • 采用了便利抽样和简单随机抽样方法.
  • 数据集包括7个元学习参数的分类和连续数据.

主要成果:

  • LML数据集包括关于年龄,性别,能力错觉,睡眠,时间型,假冒现象和多重智能的数据.
  • 对所有参数提供描述性统计数据 (平均值,标准偏差,频率,百分比).
  • 数据集存储在一个Excel文件中,可以访问问卷.

结论:

关键词:
时间型 时间型 时间型有能力的错觉.假冒者现象是一个现象.学习者生物社会参数多重情报 多重情报

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  • 在成年学习者研究andragogy和heutagogy时,LML数据集是有价值的.
  • 这些发现可以为教育材料的重新设计提供信息,以适应学习者的多样性.
  • 本资源支持优化学习和教学方法的研究.