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本文拟对大数据时代的背景下,统计学在第二语言教学领域,如何借助统计数据的搜集和分析,提升教学的针对性和效率这一问题进行基础的探究。通过对同一种族、地域、或是思维方式、性格特点等方面具有类似特征的学生,在语言习得的过程中表现出的某些具有共性的学习模式、学习问题进行统计分析,进而研究发现某些特定的规律和特征,以便于有针对性的予以强化和纠正,从而提升教学效果,更有效地发挥大数据时代统计学在课堂教学中的应用价值。
In the context of big data era, this article intends to explore how to use statistical data collection and analysis to improve the relevance and efficiency of teaching in the field of second language teaching. Students who have similar characteristics in the same race, region, or way of thinking, personality traits, etc., have some common learning patterns and learning problems in the process of language acquisition, and then make a statistical analysis to find out that some Some specific rules and features, so as to be targeted to be strengthened and corrected, so as to enhance teaching effectiveness and more effectively bring the value of statistics in the big data age into classroom teaching.