Generative AI Literacy and Responsible Academic Writing Practices Among Bangladeshi University Students

作者：Rabeya Akter, Pabitra Chandra Shuva · 发表于：International Journal of Research and Innovation in Social Science · 年份：2026 · DOI：10.47772/ijriss.2026.1026edu0484 · 研究领域：Artificial Intelligence in Healthcare and Education、AI in Service Interactions、Ethics and Social Impacts of AI

The rapid integration of generative artificial intelligence (GenAI) into higher education has transformed academic writing practices while creating new challenges in aspects of academic integrity, authorship, and ethical technology use. This study examines the level of generative AI literacy among university students in Bangladesh along with their level of responsible academic writing practices. Additionally, it explores the relationship between GenAI literacy and responsible writing behaviour and also aims to identify whether these practices differ across academic disciplines. The research was conducted by employing a quantitative cross-sectional survey, and 250 valid responses were collected from undergraduate students enrolled in different higher education institutions in Bangladesh through an anonymous online questionnaire. The survey instrument consisted of three sections: demographic information, generative AI literacy, and responsible academic writing practices. To analyze the data, descriptive and inferential statistical analyses were used with a view to examining students’ AI literacy levels, writing practices, relationships between variables, and disciplinary differences. The study findings indicate that generative AI has become a common component of students’ academic activities, with more than 71% of participants reporting frequent use of AI tools for purposes such as brainstorming, language improvement, summarization, and writing assistance. The research also rev...