Conference paper 2021

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

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Yang, Yutong
Proceedings of SPIE - The International Society for Optical Engineering
Conference · Vol. 11933 · Art. 119330S
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. © 2021 SPIE.

Keywords

Author Keywords

Project-Based Learning AHP learning effectiveness Evaluation model Higher vocational English PB neutral network

Index Keywords

Learning systems Education computing Project based learning Neural networks Learning effectiveness english learning Hierarchical systems Evaluation models BP neural networks High vocational english Learning English Network-based Neutral network PB neutral network
Author Affiliations
School of Foreign Languages, Dalian Neusoft University of Information, Dalian, Liaoning, China
Funding & Acknowledgements
No funding information
References 5 References
1 Analytic Hierarchy Process, (1980)
2 Saaty, Thomas L., Decision-making with the AHP: Why is the principal eigenvector necessary, European Journal of Operational Research, 145, 1, pp. 85-91, (2003)
3 Research of the Application of the BP Neutral Network in Teaching Quality Evaluation for National College, (2013)
4 Principles and Examples of Matlab Neural Network, (2013)
5 2018 International Conference on New Materials and Intelligent Manufacturing, (2018)
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