- Count View : 10
- آدرس کوتاه شده مقاله: https://bahareadab.com/article_id/1960
- کد IranDOI مقاله: IranDOI :10.irandoi.2002/bahareadab.2026 .18 .8055
volume Number : 18
number In Volume : 12
issue Number : 118
Journal of the stylistic of Persian poem and prose
volume Number 18،
number In Volume 12،
،
issue Number 118
Stylistic Analysis of Persian Poetry and Prose in the Age of Artificial Intelligence: Explanation and Feasibility of the Intelligent Literature Framework
Mohammad Reza Pashaei (Author in Charge), Rasool Behnam
Abstract
BACKGROUND AND OBJECTIVES: This study revisits the teaching of stylistics and other core courses in Persian language and literature within a framework that integrates the traditions of the humanities with modern technologies. Given the evident gap between traditional curricula and the research and educational needs of the digital age, the theory of “Smart Literature” is proposed as a native and practical framework. This framework combines traditional skills of literary analysis and interpretation with data-driven and AI-based tools and methods, enabling students to acquire dual competencies: literary literacy and specialized digital literacy.
METHODOLOGY: The research adopts a developmental–applied approach with a mixed qualitative and quantitative methodology. Analysis of the syllabi of two key courses revealed the absence of digital components and data-oriented skills. A case study based on a simple machine analysis of 10,000 verses of poetry demonstrated the possibility of distinguishing stylistic periods with an average accuracy of 72%. Background and Purpose: This study revisits the teaching of stylistics and other core courses in Persian language and literature within a framework that integrates the traditions of the humanities with modern technologies. Given the evident gap between traditional curricula and the research and educational needs of the digital age, the theory of “Smart Literature” is proposed as a native and practical framework. This framework combines traditional skills of literary analysis and interpretation with data-driven and AI-based tools and methods, enabling students to acquire dual competencies: literary literacy and specialized digital literacy. Methods: The research adopts a developmental–applied approach with a mixed qualitative and quantitative methodology. Analysis of the syllabi of two key courses revealed the absence of digital components and data-oriented skills. A case study based on a simple machine analysis of 10,000 verses of poetry demonstrated the possibility of distinguishing stylistic periods with an average accuracy of 72%.
FINDINGS: The results indicate that the Smart Literature framework can bridge the gap between tradition and technology, facilitate dual-skill training, and open pathways for interdisciplinary research in Persian stylistics.
CONCLUSION: This study emphasizes the necessity of a gradual revision of curricula, the development of data infrastructure, and the formulation of ethical guidelines for the application of artificial intelligence in literary research.
Keyword
Smart Literature
, Stylistics of Persian Poetry and Prose
, Digital Education
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