Exploring the efficacy of ChatGPT in developing English vocabulary skills
Abstract
This research explores the transformative potential of integrating ChatGPT in English language education, focusing on its impact on vocabulary development. The study, conducted with twenty-five students from St. Martin’s High School in Hyderabad, India, reveals compelling insights into the effectiveness of ChatGPT as a dynamic tool for enhancing language skills. Through a structured program combining ChatGPT interactions and pair activities, participants experienced substantial improvements in individual and group vocabulary scores. The data analysis, employing statistical tools, demonstrated statistically significant advancements post-implementation. Notably, participants exhibited enhanced word comprehension and usage, highlighting the practical applicability of ChatGPT in language education. While unexpected variations were observed among individuals, this study underscores the need for nuanced approaches considering diverse learning styles and proficiency levels. The research contributes to the broader discourse on AI’s role in education, emphasizing the positive outcomes of integrating ChatGPT to create engaging and personalized learning experiences. The findings encourage educators, institutions, and policymakers to consider the strategic incorporation of ChatGPT in language education, recognizing its potential to revolutionize traditional teaching methodologies. Recommendations include providing training and support for effective implementation, ensuring optimal utilization of this innovative technology to nurture language proficiency and foster interactive, student-centered learning environments.
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GenAI was employed to deliver personalized and leveled reading materials, helping to reduce obstacles such as comprehension difficulties, anxiety, or lack of confidence resulting from cognitive differences among students.
“GenAI was employed to deliver personalized and leveled reading materials, helping to reduce obstacles such as comprehension difficulties, anxiety, or lack of confidence resulting from cognitive differences among students [75-80].”
From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [79]
In school settings, students repeatedly interact with AI assistants across English writing, reading comprehension, mathematics problem-solving, physics, quantum, and cognitive science, and computer programming.
“In school settings, students repeatedly interact with AI assistants (such as ChatGPT, custom bots, and social robots) across English writing [85], reading comprehension [76,79,80,107,109], mathematics problem-solving [99,105], physics, quantum, and cognitive science [78,91,104,127], and computer programming [97,98,140,141].”
From A Systematic Review of Generative AI in K–12: Mapping Goals, Activities, Roles, and Outcomes via the 3P Model (2025) · cites this paper as [79]
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Lin, X., & Tan, H. (2025) · Systems · doi:10.3390/systems13100840 · Cited by 22 · see citing works
- Authors
- Kambam, M. M., Mutyaboyina, L., Mohammad, A., & Kedala, K. S.
- Affiliations
- Koneru Lakshmaiah Education Foundation (IN)
- Vaagdevi College of Engineering (IN)
- Corresponding author
- Kambam, Mary Madhuri
- Venue
- AIP Conference Proceedings
- Publisher
- AIP Publishing
- Published
- 2025
- Volume
- 3281
- Pages
- 050011
- ISSN
- 0094-243X (ISSN-L)
- OpenAlex
- W4408029952
- Cited by
- 3
- References
- 9
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 16.51
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- AIP conference proceedings (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- ChatGPT, English vocabulary, vocabulary acquisition, large language models, AI-assisted language learning, language teaching
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