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首页> 外文期刊>International Journal of Science and Technology Education Research >Revisiting higher education data analysis: A Bayesian perspective
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Revisiting higher education data analysis: A Bayesian perspective

机译:重新审视高等教育数据分析:贝叶斯观点

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There has been an increasing interest by the educationists and policy makers alike on the delivery and working of educational system at all levels.? Despite the extensive attention devoted to the empirical analysis of the data, most of the statistical techniques used in evaluating the data do not take account the qualitative nature of the data. The solicitation of expert’s opinion and dealing with subjective probabilities are dealt with in a very limited way for analyzing educational data through Bayesian approach unlike other areas like industry and management. In this paper an attempt has been made to outline the advantages of the Bayesian approach for analyzing uncertainties involved in education data management that could be more appropriate for academic planning. The scheme has been well tested and exemplified through University student’s enrollment data to underline procedure and relevance of Bayesian scheme in a multiple regression model.
机译:教育学家和政策制定者对各级教育系统的交付和运行越来越感兴趣。尽管人们对数据的经验分析给予了广泛的关注,但是用于评估数据的大多数统计技术并未考虑到数据的质性。与行业和管理等其他领域不同,通过贝叶斯方法来分析教育数据的方法非常有限,只能用来征求专家意见和处理主观概率。本文尝试概述贝叶斯方法在分析教育数据管理中涉及的不确定性方面的优势,这些不确定性可能更适合于学术计划。该方案已经过很好的测试,并通过大学生的入学数据进行了例证,以强调程序和贝叶斯方案在多元回归模型中的相关性。

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