大数据背景下的商务英语教学模式评价研究

Research on the Evaluation of Business English Teaching Modes under the Background of Big Data

以实现商务英语教学模式快速评价为研究目标,提出大数据背景下的商务英语教学模式评价方法。通过基于大数据K—means聚类算法,完成商务教学英语模式数据聚类;以聚类获取的数据为基础,结合正项指标和负向指标标准化构建商务英语教学模式评价指标体系,依据评价指标建立基于灰色系统理论模型的商务英语教学模式评价因素集,计算得出指标权重以及一致性检验后,利用模糊综合评价法和灰色系统理论实现商务英语教学模式评价。实验结果表明:该方法在聚类簇k取值为16时,聚类的准确度为99.2%,可有效获取指标权重,并且评价时间短,较大程度优于两种对比方法。

In order to realize the rapid evaluation of business English teaching mode,an evaluation method of business English teaching modes under the background of big data is proposed.Through the K-means clustering algorithm based on big data,the algorithm completes the data clustering of business teaching English modes;By clustering the data,and combining with positive and negative indicators of standardized construction of business English teaching evaluation index system,an evaluation index system based on the theory of grey system model is established.After the index weights are calculated and consistency is checked,the method of fuzzy comprehensive evaluation and grey system theory are used to realize the business English teaching evaluation.The experimental results show that when the value of the cluster is 16,the clustering accuracy of this method is 99.2%,the index weights can be obtained effectively,and the evaluation time is short,which is better than the two comparison methods with a large extent.