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Power law distribution in education: Effect of economical, teaching, and study conditions in university entrance examination

机译:教育中的幂律分布:高考中经济,教学和学习条件的影响

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We studied the statistical distribution of student's performance, which is measured through their marks, in university entrance examination (Vestibular) of UNESP (Universidade Estadual Paulista) with respect to (i) period of study - day versus night period (ii) teaching conditions - private versus public school (iii) economical conditions - high versus low family income. We observed long ubiquitous power law tails in physical and biological sciences in all cases. The mean value increases with better study conditions followed by better teaching and economical conditions. In humanities, the distribution is close to normal distribution with very small tail. This indicates that these power law tails in science subjects axe due to the nature of the subjects themselves. Further and better study, teaching and economical conditions axe more important for physical and biological sciences in comparison to humanities at this level of study. We explain these statistical distributions through Gradually Truncated Power law distributions. We discuss the possible reason for this peculiar behavior. [References: 22]
机译:我们研究了UNESP(Universidade Estadual Paulista)在大学入学考试(前庭)中学生的成绩的统计分布,该分布是通过他们的分数来衡量的,涉及以下方面:(i)学习时间-白天vs夜间(ii)教学条件-私立学校与公立学校(iii)经济状况-家庭收入高低。在所有情况下,我们都在物理和生物科学中观察到了很长的普遍存在的幂律尾巴。随着学习条件的改善,教学和经济条件的改善,平均值也随之增加。在人文科学中,分布接近于正态分布,尾巴很小。这表明由于科目本身的性质,这些幂定律在科学科目中是尾巴。在这个学习水平上,与人文科学相比,进一步和更好的学习,教学和经济条件对于物理和生物科学而言更为重要。我们通过逐渐缩短的幂律分布来解释这些统计分布。我们讨论了这种特殊行为的可能原因。 [参考:22]

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