Integrating artificial intelligence tools into the personalization of english language learning
The article examines the potential of artificial intelligence (AI) tools in personalizing English language learning. It analyzes the main areas of AI application, its advantages, and limitations. The study concludes that AI plays a significant role in improving learning effectiveness when pedagogical and ethical principles are observed.
Keywords: artificial intelligence, personalized learning, English language, adaptive learning.
Modern education is increasingly focused on individualized learning; however, this approach is difficult to implement within the traditional classroom system. In this context, the use of artificial intelligence becomes particularly relevant, as it allows educators to take into account individual learner characteristics and adapt the educational process accordingly.
The study is based on the analysis of scientific and methodological literature, as well as generalization of pedagogical experience in the use of AI tools in teaching English. Comparative and descriptive methods were also applied to identify the effectiveness of AI-based approaches.
AI technologies enable the implementation of adaptive learning by analyzing student performance and selecting tasks that match their level of proficiency. This contributes to more effective knowledge acquisition and reduces learning difficulties.
One of the key advantages of AI is the ability to provide immediate feedback. Learners receive timely corrections, which is especially important in developing language skills.
In addition, AI fosters learner autonomy by allowing students to work at their own pace and monitor their own progress.
At the same time, certain limitations exist, including dependence on technical resources, the need for digital literacy, and the risk of reduced face-to-face communication, which plays a crucial role in language learning.
In conclusion, I want to say, that the integration of artificial intelligence tools into English language teaching contributes to the implementation of a personalized approach and improves the quality of education. At the same time, it is important to maintain a balance between digital technologies and traditional teaching methods, as well as to consider the ethical aspects of AI use.I have also developed a methodological guide and actively use it in classroom practice as a supportive tool for teachers, enhancing lesson effectiveness and facilitating personalized instruction.
References
- Holmes W., Bialik M., Fadel C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. – Boston, 2019.
- Luckin R. Machine Learning and Human Intelligence. – London, 2018.
- Pane J.F. et al. Continued Progress: Promising Evidence on Personalized Learning. – RAND Corporation, 2015.
- Selwyn N. AI and the Future of Education. – Cambridge, 2019.
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