The Impact of Artificial Intelligence on Learning Language and Literature

Abstract

This study examined the impact of artificial intelligence (AI) technologies on learning and teaching language and literature. It aimed to assess the potential of AI in improving learning processes and to provide solutions for integrating and combining this technology with traditional teaching methods. The background of the work includes recent advances in the fields of natural language processing, machine learning, and deep neural networks that have enabled more accurate analysis of literary texts and personalization of the learning experience. The study employed a mixed-methods approach, which incorporated both qualitative and quantitative research methods. The qualitative phase involved conducting semi-structured interviews with 20 professors and students of Persian literature. The collected data were then analyzed using qualitative content analysis. In the quantitative part, a questionnaire with a five-point Likert scale was given to 150 students, and the collected data were analyzed using SPSS software version 25. The findings illuminated that the use of AI can significantly improve the process of learning Persian language and literature. For example, the use of AI-based recommender systems increased students' motivation to learn Persian language and study literary texts. Moreover, natural language processing algorithms helped identify different styles of authors and provide a deeper understanding of literary texts. The results of the study showed that artificial intelligence had significant potential to improve the process of learning Persian language and literature and improve the quality of education. However, there are also technical, cultural, and ethical challenges that need to be addressed.