FoL 2026
AIED

Algorithmic Fairness & Bias

Mon Jun 29, 9:00 AM–10:15 AM · North 203
Equity, Fairness & Inclusion Ethics, Governance & Responsible AI Automated Assessment & Scoring
★ Notable speakers
Mutlu Cukurova ★★ — Multimodal learning analytics, human-AI interaction in education, ethics of AI in education
Xiaoming Zhai ★★ — AI and machine learning for science education assessment; automated scoring; GenAI in STEM
Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis

AIED02 (SL) | Social | Long-paper session

3 talks in this session

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation
Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai
Automated Assessment & Scoring Synthetic Data & Simulated Learners Writing & Language Learning
Decomposing the Fairness Gap: Disentangling Data Scarcity from Validity Bias in AI-Driven Formative Assessment
Xuanyu Liu, Wen Zhu
Automated Assessment & Scoring Explainable & Trustworthy AI Equity, Fairness & Inclusion
A Benchmark for Gender Bias in Large Language Model Feedback on Student Essays
Yishan Du, Conrad Borchers, Mutlu Cukurova
Generative AI & Large Language Models Automated Feedback Writing & Language Learning