AHP and BP neural network-based evaluation model of higher vocational PBL english learning

Yutong Yang

doi:10.1117/12.2615134

15 October 2021 AHP and BP neural network-based evaluation model of higher vocational PBL english learning

Yutong Yang

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330S (2021) https://doi.org/10.1117/12.2615134
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

As PBL (Project-based learning) mode has been widely and intensively integrated into many curriculums of higher vocational education, a lot of research has been done in order to assess the impact of project-based learning on higher vocational students’ English learning process. Yet, most measures are relatively subjective and lack in accuracy. This article aims to propose the method of combining AHP and BP neutral Network to construct the evaluation model of project-based English learning. AHP is used to comprehensively consider the selection of evaluation indicators from various factors affecting learning effectiveness based on PBL English learning and to set the weight of each evaluation index for PBL learning according to a questionnaire and experts’ scores. Then applying the calculation data of the AHP method as the target value of the BP neural network training and thus a BP neutral network-based evaluation model of PBL English learning is built. The simulation experiment denotes improvement on the objectivity, accuracy and efficiency of the evaluation on learning effectiveness of PBL English learning.

Citation Download Citation

Yutong Yang "AHP and BP neural network-based evaluation model of higher vocational PBL english learning", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330S (15 October 2021); https://doi.org/10.1117/12.2615134

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