Empirical Research on the Improvement of College English Speaking Skills Grounded in the Production-Oriented Approach Theory in a Blended Context

DOI

10.2991/978-94-6463-502-7_105How to use a DOI?

Keywords

Production-Oriented Approach; College Oral English; blended research; statistical analysis

Abstract

The research utilizes the “Production-Oriented Approach” developed by Professor Qiufang Wen as the theoretical framework. Utilizing the online resources of “Practical University English Speaking” on the “Cool Learning Liaoning” top-quality course platform, it employs a blended learning model that combines online and offline methods. Two batches of pupils, one being the experimental group and the other the control group, were chosen to undergo multiple rounds of oral proficiency training using both POA and non-POA research methods. Statistical analysis was conducted on the collected data using SPSS software, aiming to empirically evaluate the efficacy of the POA theory in enhancing university students’ oral English proficiency in a blended practice environment.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yandong Deng
PY  - 2024
DA  - 2024/08/31
TI  - Empirical Research on the Improvement of College English Speaking Skills Grounded in the Production-Oriented Approach Theory in a Blended Context
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 977
EP  - 986
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_105
DO  - 10.2991/978-94-6463-502-7_105
ID  - Deng2024
ER  -