The Impact of Artificial Intelligence on English Language Learning Among Pre-Service Educators

This study investigated the impact of artificial intelligence (AI) on English language learning among pre-service educators at Northern Iloilo State University. Guided by Connectivism and Socio-Constructivist theories, the research examined how AI tools influence learners’ motivation, engagement, and proficiency while identifying challenges encountered in their use. A descriptive quantitative design was employed, involving sixty pre-service English teachers who responded to a validated Likert-scale questionnaire. Data were analyzed using descriptive and inferential statistics, including Pearson’s correlation at a 0.05 significance level. Findings revealed a high extent of AI tool utilization, particularly grammar checkers, translation tools, and chatbots, which were perceived as highly beneficial in enhancing language accuracy, confidence, and engagement. Results further indicated significant positive correlations between AI integration and learning outcomes, suggesting that AI contributes to both cognitive and affective improvement in language learning. However, participants also reported moderate challenges related to internet access, training limitations, and ethical concerns. The study concludes that AI integration enhances English language learning when supported by digital literacy, pedagogical readiness, and institutional support. It recommends embedding AI literacy in teacher education curricula to ensure the ethical, equitable, and pedagogically sound use of intelligent technologies in future classrooms. Keywords: Artificial Intelligence, English Language Learning, Pre-Service Educators, Digital Literacy, Pedagogical Readiness

Authors

Publication Details

Published
2025-10-11
DOI
https://doi.org/10.69481/tiaiell
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Artificial Intelligence on English Language Learning Among Pre-Service Educators

Renette Tanoy
Online Learning and Analytics
article

The Impact of Artificial Intelligence on English Language Learning Among Pre-Service Educators

Renette Tanoy
article en

Abstract

This study investigated the impact of artificial intelligence (AI) on English language learning among pre-service educators at Northern Iloilo State University. Guided by Connectivism and Socio-Constructivist theories, the research examined how AI tools influence learners’ motivation, engagement, and proficiency while identifying challenges encountered in their use. A descriptive quantitative design was employed, involving sixty pre-service English teachers who responded to a validated Likert-scale questionnaire. Data were analyzed using descriptive and inferential statistics, including Pearson’s correlation at a 0.05 significance level. Findings revealed a high extent of AI tool utilization, particularly grammar checkers, translation tools, and chatbots, which were perceived as highly beneficial in enhancing language accuracy, confidence, and engagement. Results further indicated significant positive correlations between AI integration and learning outcomes, suggesting that AI contributes to both cognitive and affective improvement in language learning. However, participants also reported moderate challenges related to internet access, training limitations, and ethical concerns. The study concludes that AI integration enhances English language learning when supported by digital literacy, pedagogical readiness, and institutional support. It recommends embedding AI literacy in teacher education curricula to ensure the ethical, equitable, and pedagogically sound use of intelligent technologies in future classrooms. Keywords: Artificial Intelligence, English Language Learning, Pre-Service Educators, Digital Literacy, Pedagogical Readiness

Vol. 1(1)
Openalex Percentile: Top 68%
Online Learning and Analytics
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.