FoL 2026
AIED

Multimodal LLMs for Educational Understanding and Assessment

Mon Jun 29, 9:00 AM–10:15 AM · North 210
Generative AI & Large Language Models Multimodal Learning Analytics Automated Assessment & Scoring
★ Notable speakers
Craig Zilles ★ — PrairieLearn assessment platform; computer-based testing facility; mastery learning; CS education research
Matthew West ★ — Creator of PrairieLearn; mastery-based computer-based testing at scale
Mariana Silva ★ — Computer-based assessments; LLMs for automated grading; computing education technology at scale
Dion Hoe-Lian Goh ★ — Information retrieval, digital libraries, game-based learning, and HCI at NTU Singapore

AIED07 (TS) | Technical | Short-paper session

5 talks in this session

Can Multimodal LLMs ‘See’ Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Video
Yixuan Shen, Peng He, Honglu Liu, Yuyang Ji, Tingting Li
Generative AI & Large Language Models Multimodal Learning Analytics Science & STEM Inquiry
Leveraging LLMs for Dynamic Engagement Pattern Recognition in Collaborative Learning
Stella Xin Yin, Zhengyuan Liu, Dion Hoe-Lian Goh, Nancy F. Chen
Generative AI & Large Language Models Learner & Student Modeling Affect & Engagement Detection
The Limits of Text-Only LLMs for Think-Aloud Transcript Correction: A Multimodal Comparison in the Context of a Puzzle Video Game
Nasim Eshgarf, Zack Carpenter, Craig Anderson
Generative AI & Large Language Models Multimodal Learning Analytics NLP & Discourse Analysis
Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs
Jacob Levine, Miguel Aenlle, Craig Zilles, Matthew West, Mariana Silva
Generative AI & Large Language Models Automated Assessment & Scoring Multimodal Learning Analytics
Do Instructional Behaviors Generalize Across Disciplines? An Empirical Study with Fine-Tuned Multimodal LLMs
Cunling Bian, Saisai Ye, Weigang Lu
Generative AI & Large Language Models Educational Data Mining Methods Multimodal Learning Analytics