AIED
Rethinking Knowledge Tracing
Mon Jun 29, 10:45 AM–12:00 PM · Room 102
★ Notable speakers
Richard Baraniuk
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— Founder of OpenStax open educational resources; open education movement; signal processing and compressive sensing
Danielle McNamara
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— NLP-based intelligent tutoring (iSTART, Writing Pal, Coh-Metrix), text comprehension and writing research, learning engineering
Shashank Sonkar
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— Pedagogical alignment of LLMs; cognitive modeling of student reasoning; AI in education at scale
Jill-Jênn Vie
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— Knowledge tracing; adaptive assessment; Knowledge Tracing Machines; open educational datasets; Pix platform
Hisashi Kashima
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— Graph kernels, machine learning on structured data, probabilistic data mining; peripheral EDM crossover
AIED19 (TS) | Technical | Short-paper session
5 talks in this session
FoundationalED: Dataset for Foundational Knowledge Tracing Pedagogical Grounding of LLMs
Eamon Worden, Neil Heffernan, Cristina Heffernan, Shashank Sonkar
Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers
Naiming Liu, Richard Baraniuk, Shashank Sonkar
MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning
Indronil Bhattacharjee, Christabel Wayllace
Re-imagine Knowledge Tracing with Student Agency in a Generative AI Language Tutor
Jiachen Gong, Anshula Bali, Ishrat Ahmed, Michelle Banawan, Danielle McNamara
Estimating Learners' Skill Acquisition Without Temporal Information
Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jênn Vie, Hisashi Kashima