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Empirical Analysis of Evaluation of English Teachers' Educational Ability under MOOC Environment

In order to improve the English teachers' education ability evaluation accuracy, promote the upgrading of the level of English teacher education, the evaluation model of English teacher education ability is proposed in MOOC environment. Data fusion model of English teacher education ability evaluation index is obtained based on big data analysis method, data clustering analysis of English teaching evaluation indicators is carried out, Characteristic data of English Teaching are extracted, and combining fuzzy C means algorithm to analyze the characteristics of English teachers' educational ability in MOOC environment, adaptive mining evaluation of English teachers' educational ability is realized. Then we develop and design the evaluation system of English teacher education ability under the MOOC environment. The empirical data analysis is taken, and results show that it has good accuracy by using this method for evaluation of English teacher's ability, it improves the comprehensive evaluation level of English teachers.