Exploring The Impact of Artificial Intelligence on Language Learning and English Communication Skills

AI is changing the way we learn a language completely and offers us a wealth of new possibilities for English communication. The aim of this study is to investigate the use of AI tools for EL learning in higher education to improve writing, speaking, pronunciation, self-confidence for communication and reduce speaking anxiety. Research design, sample, and setting The research design was quantitative, cross-sectional and total of 400 subjects (320 students and 80 faculty members) randomly selected from AI integrated universities. A 5-point Likert scale was used to collect data (Cronbach’s α =. 81–. 91). Analysis The data have been processed using SPSS descriptive statistics, one way ANOVA tests and multiple regression model. Results Maintained positive attitudes towards AI integration. Participants found the resource highly useful (M = 4.19), engaging (M = 4.05) and adoptable (M = 4.02) and made meaningful gains in writing and speaking skills (nearly M = 4.0) and moderate improvement in communication confidence (M = 3.96). Of interest, speaking anxiety was noticeably low (M = 2.71) suggesting that AI tools may offer low anxiety, supportive contexts for oral practice. Results: When comparing different groups we found that the most advanced learners (B2+) benefited from the task the most, as they made larger writing and speaking gains, and felt more self-confident than A2 and B1 learners (p <. 001). Analysis the data have been processed using SPSS descriptive statistics, one way ANOVA tests and multiple regression model. Results Maintained positive attitudes towards AI integration. The participants rated the resource as very useful (M = 4.19), engaging (M = 4.05) and adoptable (M = 4.02) and said they had gained significant improvement (more than M = 4.0) and moderate performance (M = 3.96) in their writing and speaking skills and moderate improvement (M = 3.96) in their communication confidence. Funny enough, the anxiety about speaking was low (M = 2.71) and had some spare room, meaning that AI tools could help to achieve a low anxiety level and encourage oral practice. Findings: A comparative analysis across groups showed that most proficient students (B2+) benefited the most during the activity, with the highest writing and speaking gains and the highest levels of self-confidence, than the A2 and B1 earners (p <. 001).

Authors

Institutions

Publication Details

Journal
Research Journal for Social Affairs
Published
2025-09-03
DOI
https://doi.org/10.71317/rjsa.003.05.0383
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring The Impact of Artificial Intelligence on Language Learning and English Communication Skills

Shahid Khattak, Adil Khan, Zohaib Shakeel
Research Journal for Social Affairs
Technology-Enhanced Education Studies
article

Exploring The Impact of Artificial Intelligence on Language Learning and English Communication Skills

Shahid Khattak, Adil Khan, Zohaib Shakeel
article en

Abstract

AI is changing the way we learn a language completely and offers us a wealth of new possibilities for English communication. The aim of this study is to investigate the use of AI tools for EL learning in higher education to improve writing, speaking, pronunciation, self-confidence for communication and reduce speaking anxiety. Research design, sample, and setting The research design was quantitative, cross-sectional and total of 400 subjects (320 students and 80 faculty members) randomly selected from AI integrated universities. A 5-point Likert scale was used to collect data (Cronbach’s α =. 81–. 91). Analysis The data have been processed using SPSS descriptive statistics, one way ANOVA tests and multiple regression model. Results Maintained positive attitudes towards AI integration. Participants found the resource highly useful (M = 4.19), engaging (M = 4.05) and adoptable (M = 4.02) and made meaningful gains in writing and speaking skills (nearly M = 4.0) and moderate improvement in communication confidence (M = 3.96). Of interest, speaking anxiety was noticeably low (M = 2.71) suggesting that AI tools may offer low anxiety, supportive contexts for oral practice. Results: When comparing different groups we found that the most advanced learners (B2+) benefited from the task the most, as they made larger writing and speaking gains, and felt more self-confident than A2 and B1 learners (p <. 001). Analysis the data have been processed using SPSS descriptive statistics, one way ANOVA tests and multiple regression model. Results Maintained positive attitudes towards AI integration. The participants rated the resource as very useful (M = 4.19), engaging (M = 4.05) and adoptable (M = 4.02) and said they had gained significant improvement (more than M = 4.0) and moderate performance (M = 3.96) in their writing and speaking skills and moderate improvement (M = 3.96) in their communication confidence. Funny enough, the anxiety about speaking was low (M = 2.71) and had some spare room, meaning that AI tools could help to achieve a low anxiety level and encourage oral practice. Findings: A comparative analysis across groups showed that most proficient students (B2+) benefited the most during the activity, with the highest writing and speaking gains and the highest levels of self-confidence, than the A2 and B1 earners (p <. 001).

Research Journal for Social AffairsVol. 3(5)
Kohat University of Science and Technology (PK)
Openalex Percentile: Top 74%
Technology-Enhanced Education Studies
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.