FoL 2026
AIED

Controllable and Safe AIED

Wed Jul 1, 2:00 PM–3:15 PM · North 206
Ethics, Governance & Responsible AI Explainable & Trustworthy AI Generative AI & Large Language Models
★ Notable speakers
Xiaoming Zhai ★★ — AI and machine learning for science education assessment; automated scoring; GenAI in STEM
Sahan Bulathwela ★ — AI-driven personalization of educational content; knowledge tracing (TrueLearn); recommender systems for education at scale
Koen V. Hindriks ★ — Cognitive agent programming languages (GOAL); social robotics; multi-agent systems

AIED48 (TS) | Technical | Short-paper session

5 talks in this session

Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarization
Nathikan Yodthap, Thanapong Intharah, Sahan Bulathwela
Generative AI & Large Language Models Automated Assessment & Scoring NLP & Discourse Analysis
A Hybrid Human-AI Content Generation Framework for Safe and Personalized Dialogic Learning with Children
Elena Malnatsky, Shenghui Wang, Kuhu Sinha, Koen V. Hindriks, Mike E.U. Ligthart
Generative AI & Large Language Models Conversational AI & Chatbot Tutors Adaptive & Personalized Learning
Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings
Arne Bewersdorff, Njla Yuruk, Xiaoming Zhai
Generative AI & Large Language Models Automated Feedback Explainable & Trustworthy AI
Exploring Question Isomorphism through Different Numerical and Computational Representations
Matheus Valentim de Barros, Max Fowler
Automated Assessment & Scoring Educational Data Mining Methods Mathematics Education
FairDetect: Training-Time Fairness for AI-Generated Text Detection via Perplexity-Adaptive Focal Loss
Salima Lamsiyah
Generative AI & Large Language Models Automated Assessment & Scoring Equity, Fairness & Inclusion