Cognitive Neuroanalytics in English Language Teaching: Mapping Neural Pathways for Adaptive Language Teaching

Authors

  • Akhil A. S. Research scholar, University of Technology, Jaipur, INDIA.

DOI:

https://doi.org/10.55544/ijrah.5.2.11

Keywords:

Cognitive Neuroanalytics, Cognitive Psychology, ELT, Padagogy revolution, Language Learning

Abstract

Cognitive neuroanalytics is a nascent interdisciplinary research area that unites neuroscience, artificial intelligence (AI), and cognitive psychology with the aim of designing pedagogy in the English language (ELT). Cognitive neuroanalytics is being theorized as a foundation for neural processes in language acquisition that promotes adaptive pedagogy to learners. Towards this purpose, the author describes how neuroimaging, AI cognitive models, and neuroplasticity improve language instruction. It is interested in the potential that cognitive circuit mapping offers to inform adaptive pedagogy, actively engage learners, and maximize retention. Certain ethical concerns and potential research avenues for applying cognitive neuroanalytics in ELT are also addressed in the article.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Abutalebi, J., & Weekes, B. S. (2021). The neurocognition of bilingualism. Journal of Cognitive Neuroscience, 33(5), 789-803.

Binder, J. R., Frost, J. A., Hammeke, T. A., et al. (2019). Neural mechanisms of language comprehension. Cortex, 124, 56-67.

Brouwer, A. M., Reuderink, B., Vincent, J., et al. (2020). EEG-based measures of attention and cognitive load in learning environments. Neuroinformatics, 18(3), 267-282.

Chen, L., Han, X., & D'Mello, S. K. (2022). AI-driven cognitive modeling for personalized learning. Artificial Intelligence in Education, 42(1), 77-99.

D’Mello, S. K., & Kory, J. (2019). A review and meta-analysis of multimodal affect detection systems. IEEE Transactions on Affective Computing, 10(1), 1-21.

Gazzaniga, M. S. (2018). The cognitive neuroscience of language learning. Annual Review of Psychology, 69, 217-241.

Meyer, L., Henry, M. J., Gaston, P., & Friederici, A. D. (2019). Neural feedback loops in adaptive learning. Cognition, 186, 47-56.

Pulvermüller, F. (2021). Neural mechanisms of language and meaning. Trends in Cognitive Sciences, 25(3), 131-144.

Sweller, J., Ayres, P., & Kalyuga, S. (2019). Cognitive load theory and language learning. Educational Psychology Review, 31(2), 233-255.

Zhang, X., Lee, H., & Lee, S. (2020). AI-driven pronunciation training in second-language learning. Journal of Applied Linguistics, 27(1), 95-112.

Downloads

Published

2025-03-19

How to Cite

Akhil , A. S. (2025). Cognitive Neuroanalytics in English Language Teaching: Mapping Neural Pathways for Adaptive Language Teaching. Integrated Journal for Research in Arts and Humanities, 5(2), 74–81. https://doi.org/10.55544/ijrah.5.2.11

Issue

Section

Articles