FoL 2026
AIED

Improving and Evaluating AI Tutors

Tue Jun 30, 3:45 PM–5:00 PM · North 201
Intelligent Tutoring Systems Adaptive & Personalized Learning
★ Notable speakers
Peter Brusilovsky ★★ — Adaptive hypermedia; personalized e-learning; user modeling; PAWS lab at University of Pittsburgh
Arto Hellas ★ — Computing education; MOOCs; learning analytics for programming; generative AI in CS teaching
Juho Leinonen ★ — LLMs in computing education; code generation; AI-assisted programming for novices; CS education research
John DeNero ★ — CS education at scale; creator of CS61A and Data 8 at UC Berkeley; author of Composing Programs textbook
Narges Norouzi ★ — AI-driven personalized learning in CS education; human-centered machine learning for education
Dorien Herremans ★ — Generative music AI, music information retrieval, and controllable text-to-music systems

AIED38 (TL) | Technical | Long-paper session

3 talks in this session

From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring
Nizam Kadir, Nacha Sockalingam, Dorien Herremans
Intelligent Tutoring Systems Generative AI & Large Language Models AI Agents & Agentic Systems
Methodologies for Improving the Quality of AI Tutoring in K-12 Education
Tushar Udeshi, Kabir Khan, Anna Khazenzon
Intelligent Tutoring Systems Generative AI & Large Language Models K-12 Education
The Missing Dimension: Evaluating AI Tutors Through Student Engagement with Feedback
Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas
Intelligent Tutoring Systems Automated Feedback Automated Assessment & Scoring