College English Classroom Teaching Evaluation Based on Particle Swarm Optimization – Extreme Learning Machine Model

Authors

  • Baojian Wang Department of Foreign Languages, Northwest A&F University
  • Jing Wang Department of Foreign Languages, Northwest A&F University
  • Guoqiang Hu Network and Education Technology center, Northwest A&F University

DOI:

https://doi.org/10.3991/ijet.v12i05.6782

Keywords:

PSO-ELM model, classroom teaching evaluation, college English teaching

Abstract


The quality evaluation of English classroom teaching carries great significance in promoting English teaching reform and raising the quality of English education at university level in China. In this paper, a quality evaluation index system is introduced for the classroom teaching of English as a foreign language (EFL), and an EFL classroom teaching quality evaluation model is built based on the PSO-ELM algorithm with an ELM model constructed for comparison. A comparison shows that the PSO-ELM algorithm can obtain better accuracy with less hidden layer neurons, hence lowering the demand upon experiment samples and strengthening the fitting ability of the model. Experiment results show that the PSO-ELM algorithm is feasible to evaluate classroom teaching of English as a foreign language. The designed English classroom teaching quality evaluation index system is thus confirmed as effective, and is expected to improve the quality and management of classroom teaching of English as a foreign language.

Author Biographies

Baojian Wang, Department of Foreign Languages, Northwest A&F University

Baojian Wang, with research focus on theories & practices of teaching English as a foreign language and translation, is working for Department of Foreign Languages, Northwest A&F University.

Jing Wang, Department of Foreign Languages, Northwest A&F University

Jing Wangis now with the Department of Foreign Languages, Northwest A&F University. Her study focuses on English feminism literature and TEFL.

Guoqiang Hu, Network and Education Technology center, Northwest A&F University

Guoqiang Hu received the B.E degree from Nanchang University. After graduation, he has been engaged in the work of computer network. He received M.E degree the Institute of Information Engineering and his research direction is intelligent network and machine learning.

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Published

2017-05-31

How to Cite

Wang, B., Wang, J., & Hu, G. (2017). College English Classroom Teaching Evaluation Based on Particle Swarm Optimization – Extreme Learning Machine Model. International Journal of Emerging Technologies in Learning (iJET), 12(05), pp. 82–97. https://doi.org/10.3991/ijet.v12i05.6782

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Papers