FoL 2026
EDM

Automated Assessment

Thu Jul 2, 10:45 AM–12:00 PM · North 209
Automated Assessment & Scoring Generative AI & Large Language Models
★ Notable speakers
Joseph Krajcik ★★ — Project-based learning in K-12 science education, NGSS writing team leader, learning progressions, educative curriculum materials
Jiliang Tang ★★ — Graph neural networks; deep learning on graphs; data mining; educational data mining; knowledge tracing
Yasemin Copur-Gencturk ★ — Mathematics teacher professional development; teacher knowledge measurement; technology-enhanced teacher learning
Amruth Kumar ★ — Intelligent tutoring systems for programming; program visualization; CS education tools (problets)
Renée McCauley ★ — CS education research; novice programmer cognition; CS curriculum development

EDM #12 | Long/Short Paper Session

4 talks in this session

Confusion-Aware Rubric Optimization for LLM-based Automated Grading
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik
Generative AI & Large Language Models Automated Assessment & Scoring Prompt Engineering & RAG
A Three-GenAI Consensus Model for Deductive Analysis of Response Data
Amruth Kumar, Renée McCauley, Bonnie MacKellar, Tammy Vandegrift
Generative AI & Large Language Models Automated Assessment & Scoring Educational Data Mining Methods
From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang
Automated Assessment & Scoring NLP & Discourse Analysis Prompt Engineering & RAG
Estimating IRT Parameters from Text via an ICC-Based Supervised and Contrastive Loss
Yoshiki Hori, Takumi Itamiya, Iwao Tanuma, Emiko Yoshihara
Automated Assessment & Scoring Educational Data Mining Methods Psychometrics & Educational Measurement