An English Teaching Ability Evaluation Model Based on Edge Computing

Abstract

One of the main basic components of the future generation of intelligent combat equipment is the edge computing platform. Evaluate the strategy and describe the test methods and key performance indicators. The method attempts will help to combine big data, intelligent computing models with typical military application scenarios, and conduct targeted research on the capability evaluation methods of embedded edge computing platforms. Aiming at the traditional evaluation method that uses manual evaluation, there is a great subjective consciousness in the evaluation process, which causes the problem of low accuracy of evaluation. A feedback model-based English teaching ability evaluation method is proposed. The use of a feedback mechanism in the English classroom can significantly increase the comparison of ability parameters. The open-minded calculation of the feedback evaluation is used to evaluate the various abilities in the English teaching process. The indications are presented as numbers, and an evaluation feedback model is built to verify the evaluation’s completeness and accuracy. In order to ensure the accuracy of the designed evaluation method of English teaching ability based on the feedback model, the simulated classroom teaching environment is simulated for comparison experiments, and the effectiveness of the designed evaluation method can be verified through the effective analysis of experimental data.