A Study of Working Memory for Dyslexia with FNIRI Technology in the Context of Big Data

DOI

10.2991/978-94-6463-172-2_129How to use a DOI?

Keywords

FNIRI technology; dyslexia; working memory

Abstract

Reading ability is one of the most important language skills, and the common phenomenon of English dyslexia exists in Chinese universities. By analyzing the specific performance and difficult features of college English dyslexia and specific teaching cases, we propose a strategy to solve college English dyslexia. By using the FNIRI technique, the relationship between dyslexia and working memory and the characteristics of brain functional activity of dyslexic working memory are explored. Not only does it explore the application of the big data cognitive method of teaching to college English reading, but also improves students’ independent reading ability, thus improving the quality of teaching.

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.

Download article (PDF)

TY  - CONF
AU  - Bing Chen
AU  - Shijian Sun
AU  - Lan Luo
PY  - 2023
DA  - 2023/06/30
TI  - A Study of Working Memory for Dyslexia with FNIRI Technology in the Context of Big Data
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1225
EP  - 1231
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_129
DO  - 10.2991/978-94-6463-172-2_129
ID  - Chen2023
ER  -