AIED
Modeling, Measuring, and Interpreting Thinking Processes with AI
Thu Jul 2, 3:45 PM–5:00 PM · North 210
Learner & Student Modeling Generative AI & Large Language Models Explainable & Trustworthy AI Metacognition & Reflection
★ Notable speakers
Xiaoming Zhai
★★
— AI and machine learning for science education assessment; automated scoring; GenAI in STEM
Kazuhisa Seta
★
— Intelligent learning support systems, ontological engineering, presentation-based meta-learning at Osaka Metropolitan University
AIED66 (TS) | Technical | Short-paper session
5 talks in this session
THiNK: Can Large Language Models Think-aloud?
Yongan Yu, Mengqian Wu, Yiran Lin, Nikki G. Lobczowski
Time-window ONA: Model the impact of utterances in Ordered Network Analysis
Wangda Zhu, Guang Chen, Yin Yang
Conceptualization of Thinking Activities-specific Metacognitive Knowledge Ontology
Tomoki Aburatani, Yuki Hayashi, Kazuhisa Seta
Decoding Latent Reasoning: Mechanistic Interpretability of Chain of Continuous Thought with Sparse Autoencoders
Shlok Sand, Chaitanya Shah, Vasudeva Varma
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
Ying Zhang, Ningxi Cheng, Yizhu Gao, Geng Yuan, Nicholas Young