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相关概念视频

Study Design in Statistics01:15

Study Design in Statistics

9.9K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
9.9K
Multiple Bar Graph01:07

Multiple Bar Graph

8.9K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
8.9K
Review and Preview01:13

Review and Preview

10.8K
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...
10.8K
Learning Disabilities01:25

Learning Disabilities

554
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
554
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.1K
Bar Graph01:07

Bar Graph

21.3K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
21.3K

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相关实验视频

Updated: Jan 10, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

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提高数据可视化素养:学校学习教材的比较研究

Magdalena Boucher, Magdalena Kejstova, Alena Boucher

    IEEE transactions on visualization and computer graphics
    |November 20, 2025
    PubMed
    概括

    学生在解释复杂的数据可视化方面有所提高,例如堆叠的区域图和流图. 然而,学习材料并没有显著影响结果,这表明参与和积极学习是关键因素.

    科学领域:

    • 教育技术的教育技术
    • 数据可视化 识字能力 数据可视化
    • 认知科学在教育中的应用

    背景情况:

    • 对学生来说,解释各种数据可视化是非常重要的.
    • 学生经常遇到困难与不熟悉的图表格式.
    • 现有的学习材料可能无法充分解决可视化理解挑战.

    研究的目的:

    • 为了比较四种学习材料 (教科书,漫画,视频,游戏) 对学生解释各种图表类型的能力的有效性.
    • 评估这些材料对中高中生数据可视化技能的影响.
    • 在数据可视化教育中识别影响学习成果的因素.

    主要方法:

    • 一项涉及68名中高中生的比较课堂研究.
    • 利用前后测试,工作表活动和小组讨论进行评估.
    • 专注于学生对线图,面积图,堆叠面积图和流图的理解.

    主要成果:

    • 在理解堆叠面积图和流图方面观察到有统计学意义的改进.
    • 在四种测试的学习材料之间,没有发现学习成果的显著差异.
    • 超过70%的学生很难识别潜在的模式,这表明深度理解的差距.
    • 阅读疲劳被认为是影响参与度和解释准确性的常见挑战.

    更多相关视频

    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
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    Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

    Published on: June 10, 2021

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    相关实验视频

    Last Updated: Jan 10, 2026

    Interactive and Visualized Online Experimentation System for Engineering Education and Research
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    Interactive and Visualized Online Experimentation System for Engineering Education and Research

    Published on: November 24, 2021

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    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

    Published on: June 30, 2020

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

    Published on: June 10, 2021

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    结论:

    • 仅仅学习材料的格式并不能保证提高数据可视化和解释能力.
    • 学生的参与,动机和积极的学习策略显著影响教育成果.
    • 迫切需要教育工具来促进更深入的理解,减少认知负载,并加强与复杂数据可视化积极参与.