The Mind-Machine Duality in Carving Meaning: ChatGPT and Self Regulated Learning in Arabic Research

Devi Surya Aljanah; Koderi Koderi; Muhammad Akmansyah

doi:10.58223/al-irfan.v8i1.470

Authors

Devi Surya Aljanah Universitas Islam Negeri Raden Intan Lampung
Koderi Universitas Islam Negeri Raden Intan Lampung
Muhammad Akmansyah Universitas Islam Negeri Raden Intan Lampung

DOI:

https://doi.org/10.58223/al-irfan.v8i1.470

Keywords:

Chatgpt, Self-Regulated Learning, Arabic Academic Writing, Thesis Development, AI in Education

Abstract

This study investigates the dual influence of ChatGPT and Self-Regulated Learning (SRL) strategies on the academic writing performance of students in Arabic Language Education programs. With the increasing integration of artificial intelligence tools in higher education, it is essential to understand how these technologies interact with traditional learning strategies, particularly in writing scholarly theses in Arabic—a language that presents unique structural and stylistic challenges. The primary objective of this study is to evaluate the extent to which ChatGPT and SRL affect students’ ability to produce well-structured and linguistically accurate Arabic bachelor's theses. A quantitative survey method was employed, involving 56 students across three academic semesters. Data analysis was conducted using SmartPLS 4.0 to measure the impact of both variables. The findings indicate that both ChatGPT and SRL significantly enhance students' thesis writing skills. Notably, ChatGPT has a slightly greater influence, particularly in the areas of idea development, content organization, and advanced language use. Meanwhile, SRL remains crucial for time management, intrinsic motivation, and reflective evaluation. These results underscore the complementary roles of AI assistance and self-regulated strategies in academic writing. The study contributes to the growing discourse on the ethical and pedagogical implications of AI in education, particularly in the context of Arabic language scholarship. It recommends a balanced pedagogical model that integrates AI tools like ChatGPT with structured SRL frameworks to optimize student performance and uphold academic integrity.

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