Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque (2026). arXiv cs.CL 📄 Full text (arXiv)
Key Findings
Gender-biased LLM prompts transfer bias into student-written career essays (N=123). Bias transfer is asymmetric: agency is suppressed in female-target essays while male-target writing is unaffected. Calls for fairness-aware design in educational AI tools.
Relevance to AI in Education
This paper contributes directly to understanding how AI systems interact with learners in authentic educational settings. Provides causal evidence that gender-biased LLM prompts transfer bias into student writing, with asymmetric effects suppressing female agency.
Related Pages
- academic-integrity — related page
- over-reliance — related page
- ai-feedback-quality — related page
- equity — related page
- writing-education — related page
Citation
APA: Ariyan Hossain, Kazi Kamruzzaman Rabbi, Farig Sadeque, S M Taiabul Haque (2026). Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writing. arXiv:2606.15914. arXiv cs.CL.