Data-driven tertiary English learning: a study of the application of self-built corpus for teaching EFL reading

Mengting Liu

doi:10.1117/12.3003816

11 October 2023 Data-driven tertiary English learning: a study of the application of self-built corpus for teaching EFL reading

Mengting Liu

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128004G (2023) https://doi.org/10.1117/12.3003816
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In the big data era, opportunities and challenges run in parallel for college English learning. Relevant stakeholders are expected to adapt to the new trends in learning resources, contents, tools and approaches. The Data-Driven Learning (DDL) model, first proposed by Tim Johns and Philip King in the 1990s, is gaining new momentum with deep integration of information technologies and education. Under the DDL model, corpus software, with their rich and authentic language material, fast and efficient retrieval capability, can be the game-changer in empowering English reading. Using the corpus software AntConc, this study builds a corpus based on contemporary American writer Gillian Flynn’s Gone Girl and intends to investigate how the corpus can be most effectively applied in teaching reading to English-as-a-Foreign-Language (EFL) learners. It is found that the fiction-based corpus can be a powerful platform for interpreting literature, learning language and culture, and enhancing critical thinking. Teaching reading with the empowerment of the self-built corpus caters well to the trend of exploration-based and student-centered English learning, producing more learning outcomes much beyond what traditional reading class can offer. However, in such corpus-based learning context, the teacher is required to serve as a qualified guide, facilitator and learning peer.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Mengting Liu "Data-driven tertiary English learning: a study of the application of self-built corpus for teaching EFL reading", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128004G (11 October 2023); https://doi.org/10.1117/12.3003816

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