相关实验视频
Updated: May 10, 2025

06:48
Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
4.4K
一个基准数据集的叙事学生作文与多能力等级的自动作文评分在巴西葡萄牙语
Hilário Oliveira1, Rafael Ferreira Mello2,3, Péricles Miranda2
1Federal Institute of Education Science and Technology of Espírito Santo, Serra, Espírito Santo, Brazil.
Data in brief
|April 21, 2025
概括
创建了一个新的数据库,包含来自5年级的1235篇巴西葡萄牙语作文. 本资源有助于开发自动作文评分,用于叙事写作评估.
科学领域:
- 自然语言处理自然语言处理.
- 教育技术的教育技术
- 语料库语言学 语料库语言学
背景情况:
- 开发自动化写作评估系统需要高质量的数据集.
- 对于巴西葡萄牙语小学级叙事写作的现有数据集很少.
- 对写作能力的标准化评估对于教育发展至关重要.
研究的目的:
- 创建第一个公开可用的数据集,以巴西葡萄牙语为第五年级叙事论文.
- 根据详细的标题来注释文章,评估关键写作能力.
- 为了促进自动作文评分 (AES) 系统的发展,为这个特定的背景.
主要方法:
- 收集和转录1235笔手写的叙事论文来自巴西5年级的学生.
- 专家注释使用五分尺度对正式语言,文本类型学,主题连贯性和文本凝聚力进行注释.
- 由第三位专家解决分歧,以确保注释可靠性.
主要成果:
- 一个包括1235篇叙事论文的综合数据集,在四个写作能力中获得专家指定的分数.
- 该数据集是巴西葡萄牙语自动化写作评估研究的新型资源.
- 建立了一个强大的注释和评判过程,用于作文评价.
结论:
- 开发的数据集是推动巴西葡萄牙语自动化作文评分研究的宝贵资源.
- 这项工作解决了小学教育的公开可用的,注释的写作体的重大差距.
- 该方法提供了一个框架,用于创建其他语言和教育水平的类似数据集.
相关概念视频
Reliability and Validity
12.6K
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.
12.6K
Guidelines for Writing Outcome
2.6K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
2.6K
Self-Report Tests of Personality
268
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
268
Comparing Experimental Results: Student's t-Test
1.4K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.4K
Measures of Intelligence
5.0K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
5.0K
Quantifying and Rejecting Outliers: The Grubbs Test
1.3K
Sometimes, a data set can have a recorded numerical observation that greatly deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier. To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
1.3K

