“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities

ABSTRACT The proliferation of generative artificial intelligent (GenAI) models and tools are revolutionizing how existing practices are transformed across multiple industries, including English language education. Simultaneously, the capabilities of these models are shaping how teachers reevaluate their roles as educators, especially in high‐stakes testing environments (e.g., competitive college entrance exams). This qualitative case study examines five English as a Foreign Language (EFL) educators in South Korea and their perspectives toward GenAI and its influence on their professional identities. This study analyzed semi‐structured interviews with EFL teachers through Norton's concept of social identity and Roger's Diffusion of Innovation theory. This research aims to examine the stages in which EFL teachers adopt emerging technology, how it influences their teaching practices, and how they define their jobs in this new, emerging digital landscape. The importance of this research is from the perceived supportive role the EFL teachers play within the sociocultural context of the classroom in the face of high‐stakes testing environments. The adoption of emerging technology does not diminish the emotional responsibility that human educators provide over the machine.

Authors

Institutions

Publication Details

Journal
Future in Educational Research
Published
2025-10-14
DOI
https://doi.org/10.1002/fer3.70020
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities

A. Jane Loper, Josh Hayes
Future in Educational Research
EFL/ESL Teaching and Learning
article

“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities

A. Jane Loper, Josh Hayes
article en

Abstract

ABSTRACT The proliferation of generative artificial intelligent (GenAI) models and tools are revolutionizing how existing practices are transformed across multiple industries, including English language education. Simultaneously, the capabilities of these models are shaping how teachers reevaluate their roles as educators, especially in high‐stakes testing environments (e.g., competitive college entrance exams). This qualitative case study examines five English as a Foreign Language (EFL) educators in South Korea and their perspectives toward GenAI and its influence on their professional identities. This study analyzed semi‐structured interviews with EFL teachers through Norton's concept of social identity and Roger's Diffusion of Innovation theory. This research aims to examine the stages in which EFL teachers adopt emerging technology, how it influences their teaching practices, and how they define their jobs in this new, emerging digital landscape. The importance of this research is from the perceived supportive role the EFL teachers play within the sociocultural context of the classroom in the face of high‐stakes testing environments. The adoption of emerging technology does not diminish the emotional responsibility that human educators provide over the machine.

Future in Educational ResearchVol. 4(1)
University of Kansas (US)
Openalex Percentile: Top 64%
EFL/ESL Teaching and Learning
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.

“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities — A. Jane Loper, Josh Hayes · Future in Educational Research (2025) | TGRS Research Map | TGRS