Artificial Intelligence and the Future of Language Learning
Year: 2025
Type: conference-paper
Abstract: Artificial intelligence (AI) is rapidly transforming various sectors worldwide, with education being one of the most profoundly impacted areas. In particular, language learning has witnessed significant advancements through the integration of AI technologies, which offer innovative solutions to traditional challenges. This study examines the diverse ways AI-driven tools enhance the efficiency, accessibility, and overall effectiveness of language learning. The research methodology includes a thorough review and analysis of recent developments in AI applications tailored to language education. Key technologies investigated include adaptive learning platforms that personalize content based on learner performance, conversational chatbots that simulate real-life interactions, and speech recognition systems that provide instant pronunciation correction. The findings demonstrate that AI facilitates highly individualized learning experiences, allowing learners to progress at their own pace while receiving immediate, actionable feedback. Additionally, AI-powered platforms increase learner motivation and engagement by incorporating interactive elements. Despite these advantages, the study acknowledges critical challenges such as data privacy concerns, algorithmic biases, and the indispensable role of human educators in guiding and contextualizing AI-assisted learning. In conclusion, while AI holds considerable potential to revolutionize language acquisition by making it more accessible and effective, optimal outcomes are achieved through a balanced integration of AI technologies with conventional teaching methods, ensuring a supportive and ethically sound educational environment.
Author: Asadova, Aysel
Institution: Nakhchivan State University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7106582811