概括
这项研究引入了新的方法来改善学生对教学 (SET) 的评价,通过考虑学生的评分苛刻度. 混合方法可以更精确地评估在线环境中的教学能力.
科学领域:
- 教育测量教育的测量
- 心理测量 心理测量 心理测量
- 高等教育研究 高等教育研究
背景情况:
- 学生对教学的评估 (SET) 对于评估教学表现至关重要.
- 当前的SET方法往往无法解释学生评分的苛刻程度,从而影响评估的有效性.
- 在线SET缺乏可靠的方法,可以同时估计教学能力和学生的苛刻程度.
研究的目的:
- 开发和比较用于SET参数估计的新统计方法.
- 解决在线SET中同时估计教学能力和学生苛刻性的未解决的问题.
- 为了提高SET的计算机自适应测试中的参数估计的精度.
主要方法:
- 开发了三种新的方法:边际方法,一次代方法和混合方法.
- 使用模拟研究来评估拟议方法的性能.
- 新方法与传统评分技术的比较.
主要成果:
- 与传统方法相比,混合方法显示出明显的超出性能.
- 提出的方法显示,参数估计的精度提高了.
- 模拟研究证实了开发的技术的有效性.
结论:
- 混合方法是增强在线SET的有效性的一种有希望的技术.
- 准确估计教学能力需要考虑学生的评分苛刻性.
- 对SET的高级心理测量模型进行进一步的研究是有必要的.
相关概念视频
Surveys
14.9K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.9K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
1.8K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
1.8K
Comparing Experimental Results: Student's t-Test
1.6K
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...
1.6K
Estimating Population Mean with Unknown Standard Deviation
8.2K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
William S. Gosset (1876–1937) of the...
8.2K
What are Estimates?
5.3K
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...
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...
5.3K
Choosing Between z and t Distribution
2.8K
The z and the Student t distribution estimate the population mean using the sample mean and standard deviation. However, to decide which distribution to use for a calculation, one needs to determine the sample size, the nature of the distribution, and whether the population standard deviation is known. If the population standard deviation is known and the population is normally distributed, or if the sample size is greater than 30, the z distribution is preferred. The Student t distribution is...
2.8K


