学习风格偏好及其与性别的相关性
Dabota Yvonne Buowari1,2, Andrew Igho Joe1, Ibi Erekosima1
1Centre of Medical Research and Training, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.
概括
这项研究发现,社区卫生官员的学员有各种各样的学习风格,动感是最常见的. 然而,性别并没有显著地影响学员的学习风格.
科学领域:
- 医学教育 医学教育
- 健康 职业 教育 教育 专业
背景情况:
- 学习风格是多样化的,可以受到各种因素的影响,包括性别.
- 了解学习偏好对于有效的健康专业教育至关重要.
研究的目的:
- 调查社区卫生官员实习生之间学习风格的差异.
- 检查这一群体中性别和学习风格之间的相关性.
主要方法:
- 使用人口普查方法进行的相关描述性研究.
- 管理了一个结构化问卷,其中包含了VARK (视觉,听觉,阅读/写作,中国审美) 学习风格库存.
- 用多重方差分析 (MANOVA) 来分析数据.
主要成果:
- 在VARK的学习风格问卷显示出良好的可靠性 (Cronbach的α = .755).
- 训练员中最普遍的学习方式是kinasesthetic.
- 在四种VARK学习风格 (p > .05) 中,男性和女性学员之间没有发现统计学意义上的差异.
结论:
- 社区卫生官员实习生表现出不同的学习风格,他们更喜欢动感学习.
- 虽然受训者对VARK模型的反应有所不同,但性别并不是这一群体学习风格的重要决定因素.
相关概念视频
Socioemotional Experience and Gender Development
14
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
14
Correlations
32.0K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.0K
The Y Chromosome Determines Maleness
6.4K
The Y chromosome is a sex chromosome found in several vertebrates and mammals, including humans. In addition to 22 pairs of autosomes, the human males have one X chromosome and one Y chromosome. In these organisms, the presence or absence of the Y chromosome determines the development of male traits.
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size....
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size....
6.4K
Spearman's Rank Correlation Test
609
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
Spearman's test calculates...
609
Testing a Claim about Population Proportion
3.2K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.2K
Two-Way ANOVA
2.5K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.5K


