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相关概念视频

How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Numerical Calculations01:24

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In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
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Random Sampling Method01:09

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Review and Preview01:13

Review and Preview

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Chunking01:12

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Chunking is a powerful cognitive technique that improves short-term memory retention by organizing information into smaller, more manageable units. The brain, limited by working memory capacity, can more easily process and store information when it is divided into "chunks" rather than presented as discrete, unrelated elements. Chunking is especially useful when dealing with large amounts of information, such as numerical sequences, words, or complex ideas.
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数字处理与不同的教学方法.

M C Canto-López1, I Menacho1, E Aragón1

  • 1Department of Psychology, University of Cadiz (Spain), Puerto Real-Cadiz, Spain.

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概括
此摘要是机器生成的。

基于数字的开放计算 (ABN) 方法增强了早期的数学技能,在数量比较和整体能力方面超过了传统的基于数字的封闭计算 (No-ABN) 方法.

关键词:
基于数字的开放计算 (ABN) 方法.基于数字的封闭计算 (CBC) 方法.尺寸大小的比较.数学的认知数学认知.数字处理数字处理.

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科学领域:

  • 认知发展 认知发展
  • 教育心理学教育心理学
  • 数学教育教育 数学教育

背景情况:

  • 数学能力对于学术和认知发展至关重要.
  • 认知过程,无论是特定领域的还是一般的,都是数学学习的基础.
  • 了解有效的教学方法是培养早期数学技能的关键.

研究的目的:

  • 为了比较基于数字的开放计算 (ABN) 和基于数字的封闭计算 (No-ABN) 方法之间的数学能力.
  • 在不同的教学方法下分析影响数学技能的特定领域变量.
  • 确定ABN方法在概念理解和数值灵活性方面是否具有优势.

主要方法:

  • 84名幼儿园和小学教育的学生参加了.
  • 学生被分为ABN (45) 和非ABN (37) 组.
  • 标准化测试评估了大小比较和基本数学能力.

主要成果:

  • 在大小比较中,ABN组表现优越,特别是在早期阶段.
  • 随着时间的推移,ABN组在基本数学能力方面得分始终更高.
  • 在培养早期数学技能方面,ABN方法显示出了潜在的优势.

结论:

  • ABN教学方法可以为数学学习奠定更坚实的基础.
  • 与没有ABN相比,ABN可能会带来更好的长期数学结果.
  • 建议进行进一步的研究,以优化ABN方法,以便在更广泛的教育应用.