FoL 2026
AIED

AI for Student Success and Retention

Fri Jul 3, 10:45 AM–12:00 PM · North 210
Predictive Modeling & Early Warning Adaptive & Personalized Learning Generative AI & Large Language Models
★ Notable speakers
Dragan Gašević ★★ — Learning analytics; co-founder of LAK conference and Society for Learning Analytics Research
Kenneth R. Koedinger ★★ — Cognitive Tutor; LearnLab/PSLC; cognitive science of learning and AIED
Vincent Aleven ★★ — Intelligent tutoring systems; CTAT authoring tools; example-tracing tutors
James Lester ★★ — Narrative-centered learning environments; game-based learning; NSF AI Institute for Engaged Learning
Luiz Rodrigues ★ — Gamification in education; educational technology; engagement and motivation in AIED
Rafael Ferreira Mello ★ — Learning analytics; NLP for education; automated text analysis; MOOCs; Latin American LA community
Cristian Cechinel ★ — Learning analytics; educational data mining; student dropout prediction; LMS data analysis in Latin America
Thales Vieira ★ — Intelligent tutoring systems for underserved regions; MathAIde ITS; AI/computer vision in education
Atsushi Shimada ★ — Learning analytics; e-book systems for education; student learning behavior analysis; pattern recognition
Conrad Borchers ★ — AI-supported self-regulated learning; intelligent tutoring systems; educational data mining; ordered network analysis
Meng Xia ★ — Human-AI interaction for learning; data visualization; adaptive education technology
Paulo F. Carvalho ★ — Cognitive science of learning, spacing and interleaving effects, AI-driven adaptive learning systems
Wookhee Min ★ — Game-based learning stealth assessment, multimodal learning analytics, AI-driven adaptive educational games

AIED77 (TS) | Technical | Short-paper session

5 talks in this session

Translating XAI into Actionable Feedback Using LLMs to Prevent Student Dropout
Filipe Dwan Pereira, George Zambonin, André Nascimento, Mario Santos, Mariana Mello
Generative AI & Large Language Models Automated Feedback Predictive Modeling & Early Warning
Multi-Label Collaborative Dialogue Act Recognition for Adaptive Team Training Environments
Jay Pande, Wookhee Min, Randall Spain, Vikram Kumaran, James Lester
Adaptive & Personalized Learning NLP & Discourse Analysis Collaborative Learning & CSCL
Content-Grounded Learning Behavior Analysis for Contextualized Feedback
Atsushi Shimada, Yuma Miyazaki, Saiki Hirotaka
Learner & Student Modeling Automated Feedback Educational Data Mining Methods
Evaluating a Data-driven Redesign Process for Intelligent Tutoring Systems
Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho
Intelligent Tutoring Systems Adaptive & Personalized Learning Educational Data Mining Methods
From Predictive Models to Actionable Recommendations: A Survey of Counterfactual Approaches in Student Dropout
Raylan Santos, Cristian Cechinel, Emanuel Queiroga, Thales Vieira
Predictive Modeling & Early Warning Educational Data Mining Methods Explainable & Trustworthy AI