Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Construction and Feedback Research on Spoken English Blended Learning Mode Based on E-Learning Platforms and SPSSAU Data Analysis

Authors
Tianzhao Li1, *
1Software Engineering Institute of Guangzhou, Guangdong, China
*Corresponding author. Email: ltz@mail.seig.edu.cn
Corresponding Author
Tianzhao Li
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_9How to use a DOI?
Keywords
e-learning platforms; blended learning mode; Spoken English; construction; feedback
Abstract

E-learning platforms allow learners to use computers, mobile phones, tablets, and other handheld tools to study online. Tencent online homework platform, Wisdom Tree online learning platform and WJX questionnaire platform are widely used by Chinese teachers in recent years. But few studies integrated these e-learning platforms together to conduct spoken English blended learning. This study aims to construct a spoken English blended learning mode based on the e-learning platforms as well as research on learners’ feedback. Data collected from a survey among undergraduate students were analyzed by SPSSAU system. The results of this study indicated that the majority of students hold positive attitude towards this blended learning mode. One-way anova showed no significant gender difference on its improvement of learners’ English oracy. Pearson correlation analysis indicated that increasing the frequency of output training was beneficial to improve learners’ oral fluency, accuracy as well as their attention and learning efficiency in class. Group work and individual presentation were conducive to enhancing learners’ participation enthusiasm according to linear regression analysis, whereas they would not affect learners’ oral fluency or accuracy improvement.

Copyright
© 2023 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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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
10.2991/978-94-6463-172-2_9
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_9How to use a DOI?
Copyright
© 2023 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.

Cite this article

risenwbib
TY  - CONF
AU  - Tianzhao Li
PY  - 2023
DA  - 2023/06/30
TI  - Construction and Feedback Research on Spoken English Blended Learning Mode Based on E-Learning Platforms and SPSSAU Data Analysis
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 59
EP  - 69
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_9
DO  - 10.2991/978-94-6463-172-2_9
ID  - Li2023
ER  -