A Study on the Application of a Corpus-Based Data-Driven Learning Method Utilizing an Online and Offline Blended Teaching Model in a College English Reading Course

A Case Study of “A Very Big Bang” in Liberal Education Advanced English

DOI

10.2991/978-94-6463-034-3_11How to use a DOI?

Keywords

Corpus; DDL; Ant Word Profiler; AntConc; Sketch Engine; CAT; Online and Offline Blended Teaching; College English Reading; SPSS

Abstract

Data-driven learning, DDL, is a method of learning a foreign language based on corpus data which provides new ideas for the reform of foreign language teaching methods. This paper applies DDL corpus technologies when teaching a college English reading course. In this paper an online and offline blended college English course is modeled based on corpus DDL and it illustrates this process with a case study of “A Very Big Bang”, an article found in Liberal Education Advanced English. The tools used under the corpus based DDL online and offline blended teaching model are corpus retrieval and analysis tools, such as Ant Word Profiler, AntConc, Sketch Engine, as well as CAT (Computer Aided Translation) such as Tmxmall and SDL Trados. The former is used to analyze vocabulary difficulty, language characteristics, keywords, main events, dispersion plots, and their development. The latter can help students create their own translation memory by adopting machine translation plug-in components and translation skills. After applying this teaching method for three semesters the method has proven itself to be both positive and effective on students’ overall learning ability, learning satisfaction, innovative thinking, and learning initiative. The model’s effectiveness can be demonstrated from data collected and analyzed by SPSS.

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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TY  - CONF
AU  - Ling Liang
AU  - Kai-ying Chen
AU  - Shu-yi Huang
AU  - Zhong-zheng Guo
PY  - 2022
DA  - 2022/12/23
TI  - A Study on the Application of a Corpus-Based Data-Driven Learning Method Utilizing an Online and Offline Blended Teaching Model in a College English Reading Course
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 81
EP  - 101
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_11
DO  - 10.2991/978-94-6463-034-3_11
ID  - Liang2022
ER  -