🏷️ psychometrically-aware-ai
7 pages tagged with psychometrically-aware-ai(6 articles, 1 concepts)
📄 Multimodal Item Parameter Estimation using Simulated Response Probabilities
> **Synthesis:** This paper fine-tunes a multimodal large language model (Qwen3.5-based) to reconstruct multiple-choice model (MCM) and three-parameter logistic (3PL) item characteristic curves. By le…
🏷️ Cognitive Diagnosis
> **Cognitive diagnosis** — the inference of a learner's latent knowledge state — the specific concepts, skills, and misconceptions they have or lack — from their responses or behavior. It is the asse…
📄 Confidence-Aware Automatic Short Answer Grading
> **Confidence-Aware ASAG** — A hybrid confidence estimation framework for Automatic Short Answer Grading with LLMs that fuses model-based confidence signals (verbalized, latent, consistency-based) wi…
📄 Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations
> **Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Khushi Malik, Bogdan Simion, Carolina Nobre, Angela Zavaleta Bernuy, Andrew Petersen, Michael Liut** (2026). ICER 2026…
📄 Confidence-Aware Automated Assessment of Student-Drawn Scientific Models
> **Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai** (2026). arXiv cs.AI preprint…
📄 Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring
> **Po-Chin Chang, Nicholas Hogan, Aske Plaat, Michiel T. van der Meer** (2026). arXiv cs.AI preprint…
📄 PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback
> **Wei Xia, Jin Wu, Haoran Shi, Xiangyu Wang, Chanjin Zheng** (2026). East China Normal University / arXiv cs.CL preprint…