A Neuroscientific Approach to Developing Language Education Content: Literacy in the Postmodern Information Society

This article examines how language education content is evolving in response to postmodern perspectives. It explores how the changing needs of an information society, influenced by neuroscience, drive this transformation. The growing informatisation of society and the shift toward neurosocial communication necessitate a reconsideration of literacy and its methodological foundations. The article aims to synthesise emerging literacy trends in an information-driven world that has reexamined normative and institutional-academic forms of culture and language in a postmodern context. It offers a controversial model of language literacy skills structured as an inverted pyramid. The research uses neuropsychological, theoretical-analytical, sociometric, and pedagogical modelling methods. Findings suggest that literacy, as a cultural phenomenon, is expanding beyond traditional definitions to include linguistic creativity. The discussion situates literacy within modernist, postmodernist, and poststructuralist frameworks, arguing that in a neurosociety, literacy becomes situational and secondary. As a result, language literacy skills should be open-ended and structured across three levels: 1) fundamental language and information skills, 2) creative language and information skills, and 3) potential for creativity and transcendence. The article advocates for a flexible, deductive, and personalised approach to language education that integrates linguistic representation across education, daily life, and cultural contexts. It challenges the traditional-modernist, hierarchical model of language literacy development. The article’s practical implications include redefining how university programmes in classical institutions structure language education. The international significance of the article lies in aligning with current scientific discourse and informing language education reforms in transitional democracies.

Authors

Institutions

Publication Details

Journal
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Published
2025-04-06
DOI
https://doi.org/10.70594/brain/16.s1/28
Primary Topic
Neuroscience, Education and Cognitive Function
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Neuroscientific Approach to Developing Language Education Content: Literacy in the Postmodern Information Society

Наталія Онищенко, O. A. Zhvava, Nataliia Syzonenko, N.Yu. Hrebin-Krushelnytska et al.
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Neuroscience, Education and Cognitive Function
article

A Neuroscientific Approach to Developing Language Education Content: Literacy in the Postmodern Information Society

Наталія Онищенко, O. A. Zhvava, Nataliia Syzonenko, N.Yu. Hrebin-Krushelnytska, Viktor Vykhor, Іветта Депчинська
article en

Abstract

This article examines how language education content is evolving in response to postmodern perspectives. It explores how the changing needs of an information society, influenced by neuroscience, drive this transformation. The growing informatisation of society and the shift toward neurosocial communication necessitate a reconsideration of literacy and its methodological foundations. The article aims to synthesise emerging literacy trends in an information-driven world that has reexamined normative and institutional-academic forms of culture and language in a postmodern context. It offers a controversial model of language literacy skills structured as an inverted pyramid. The research uses neuropsychological, theoretical-analytical, sociometric, and pedagogical modelling methods. Findings suggest that literacy, as a cultural phenomenon, is expanding beyond traditional definitions to include linguistic creativity. The discussion situates literacy within modernist, postmodernist, and poststructuralist frameworks, arguing that in a neurosociety, literacy becomes situational and secondary. As a result, language literacy skills should be open-ended and structured across three levels: 1) fundamental language and information skills, 2) creative language and information skills, and 3) potential for creativity and transcendence. The article advocates for a flexible, deductive, and personalised approach to language education that integrates linguistic representation across education, daily life, and cultural contexts. It challenges the traditional-modernist, hierarchical model of language literacy development. The article’s practical implications include redefining how university programmes in classical institutions structure language education. The international significance of the article lies in aligning with current scientific discourse and informing language education reforms in transitional democracies.

BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCEVol. 16(1, Sup. 1)
Khmelnytskyi National University (UA), Taras Shevchenko National University of Kyiv (UA), Building Research Establishment (GB), Poltava State Agrarian University (UA), Ferenc Rakoczi II Transcarpathian Hungarian University (UA)
Openalex Percentile: Top 94%
Neuroscience, Education and Cognitive Function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.