Construction and application of English teachers' intelligent classroom teaching ability training mode integrating MOOC and flipped classroom

Supported by internet technology, the English teaching mode integrating MOOC and flipped classroom is widely welcomed. The commonly used evaluation methods of teaching effect cannot meet the requirements of formative evaluation. Therefore, a teaching evaluation method based on RBF is constructed. Aiming at the defects of RBF in data processing, the optimised RBF based on K-means clustering algorithm is proposed. The findings indicate that the training effectiveness of the improved RBF evaluation method is 0.99. In the intelligent English teaching mode integrating MOOC and flipped classroom, the standard deviation of the total score of students is 7.186. Therefore, the teaching impact assessment methodology based on improved RBF can better assess the English instruction integrating MOOC and flipped classroom, and optimise English teachers' teaching methods.