In order to improve the quality of online mutual evaluation of teachers' teaching level and carry out online mutual evaluation of teachers' teaching level, an online mutual evaluation model of teachers' teaching level based on ant colony clustering algorithm is proposed, and an empirical analysis is carried out with statistical data. The statistical information model of teachers' teaching level online mutual evaluation is constructed. according to the mining results of teachers' teaching level online mutual evaluation information, the frequent itemsets association rules are reconstructed, the correlation dimension characteristic quantity of teachers' teaching level online mutual evaluation information is extracted, and the regular feature quantity of teacher teaching level online mutual evaluation cross-correlation information fusion is analyzed. Taking this as the constraint condition, the related information mining evaluation of teachers' teaching level online mutual evaluation is carried out, and the statistical analysis and robustness test of teachers' teaching level online mutual evaluation are carried out by using the method of statistical feature analysis. The simulation structure shows that the model has good accuracy and high confidence in online mutual evaluation of teachers' teaching level, and improves the quality of online mutual evaluation of teachers' teaching level.

BAI Yan. Design of online Mutual Evaluation system for Teachers' Teaching level based on Ant Colony clustering algorithm. Frontiers in Educational Research (2019) Vol. 2 Issue 8: 115-127. https://doi.org/10.25236/FER.2019.020816.

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