The Impact of Artificial Intelligence Literacy on the Expected Outcome of AI Tool's Integration into Higher Education Institutions: Case of EFL Departments

This study explores the integration of Artificial Intelligence (AI) in English as a Foreign Language (EFL) departments, focusing on the relationship between AI literacy and educational outcomes for both educators and students. Through a review of current literature, the research identifies key themes, including the impact of AI tools on language learning, the level of AI literacy among EFL educators and students, and the broader implications of AI on teaching methodologies. AI-powered tools, such as intelligent tutoring systems and automated language assessments, offer personalized learning experiences and adaptive feedback, which enhance student engagement and learning efficiency. However, the effectiveness of these tools is closely tied to the AI literacy levels of both teachers and learners. The study finds that educators with higher AI literacy are more adept at integrating AI technologies into their instructional practices, fostering dynamic and blended learning environments. Meanwhile, students with greater AI literacy can utilize these tools to take a more active and autonomous role in their language learning process. Despite these benefits, challenges such as resistance from educators, ethical concerns, and uneven AI literacy levels pose significant barriers to effective AI integration. The findings underscore the need for structured AI literacy programs to maximize the potential of AI technologies in EFL education while maintaining the essential role of human educators.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-27
DOI
https://doi.org/10.5281/zenodo.14560844
Primary Topic
Enzyme Structure and Function
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Artificial Intelligence Literacy on the Expected Outcome of AI Tool's Integration into Higher Education Institutions: Case of EFL Departments

Zenodo (CERN European Organization for Nuclear Research)
Enzyme Structure and Function
article

The Impact of Artificial Intelligence Literacy on the Expected Outcome of AI Tool's Integration into Higher Education Institutions: Case of EFL Departments

article en

Abstract

This study explores the integration of Artificial Intelligence (AI) in English as a Foreign Language (EFL) departments, focusing on the relationship between AI literacy and educational outcomes for both educators and students. Through a review of current literature, the research identifies key themes, including the impact of AI tools on language learning, the level of AI literacy among EFL educators and students, and the broader implications of AI on teaching methodologies. AI-powered tools, such as intelligent tutoring systems and automated language assessments, offer personalized learning experiences and adaptive feedback, which enhance student engagement and learning efficiency. However, the effectiveness of these tools is closely tied to the AI literacy levels of both teachers and learners. The study finds that educators with higher AI literacy are more adept at integrating AI technologies into their instructional practices, fostering dynamic and blended learning environments. Meanwhile, students with greater AI literacy can utilize these tools to take a more active and autonomous role in their language learning process. Despite these benefits, challenges such as resistance from educators, ethical concerns, and uneven AI literacy levels pose significant barriers to effective AI integration. The findings underscore the need for structured AI literacy programs to maximize the potential of AI technologies in EFL education while maintaining the essential role of human educators.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 74%
Enzyme Structure and Function
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The Impact of Artificial Intelligence Literacy on the Expected Outcome of AI Tool's Integration into Higher Education Institutions: Case of EFL Departments · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS