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Vol-4277
urn:nbn:de:0074-4277-x
Copyright © 2026 for
the individual papers by the papers' authors.
Copyright © 2026 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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AIED-KDD 2026
AI for Education Day at SIGKDD 2026
Proceedings of AI for Education Day at SIGKDD 2026
co-located with the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
Jeju, Korea, August 12, 2026
Edited by
Yang Shi 1
Qingsong Wen 2
Xiangliang Zhang 3
Alison Cheng 4
John Stamper 5
Dragan Gašević 6
Steven Moore 7
Ritu Chaturvedi 8
1 Utah State University, United States
2 Squirrel Ai Learning, China; University of Oxford, United Kingdom
3 University of Notre Dame, United States
4 University of Notre Dame, United States
5 Carnegie Mellon University, United States
6 Monash University, Australia
7 George Mason University, United States
8 University of Guelph, Canada
Table of Contents
-
Preface
18 papers were
submitted for peer review, of which
11 were accepted
for this volume.
Regular Papers
- Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification
Haocheng Zhang,
Zhuqian Zhou,
Kirk Vanacore,
Bakhtawar Ahtisham,
René F. Kizilcec
- The Imperfect Learner: Incorporating Developmental Trajectories in Memory-based Student Simulation
Zhengyuan Liu,
Stella Xin Yin,
Bryan Chen Zhengyu Tan,
Roy Ka-Wei Lee,
Guimei Liu,
Dion Hoe-Lian Goh,
Wenya Wang,
Nancy F. Chen
- PEELing Argumentation: Scaffolding Elementary Argumentative Writing with Decomposed LLM Feedback
Stella Xin Yin,
Geyu Lin,
Zhengyuan Liu,
Brian Y. Lim,
Nancy F. Chen
- CFL-KG: A Knowledge Graph for Instructional Support in Chinese as a Foreign Language
Han Wang,
Qianyu Wang,
Yunshi Lan,
Ye Wang,
Yuanyuan Liang,
Anqi Ding
- When Rubrics Change: Cross-Rubric Generalization for Critical Thinking Essay Scoring
Nischal Ashok Kumar,
Payu Wittawatolarn,
Sana Kang,
Marisa C. Peczuh,
Blair Lehman,
Ryan Baker,
Caitlin Mills,
Sherry Lachman,
Ruochen Sun,
Andrew Lan
- Causality-Inspired Representation Learning for Student Performance Prediction
Boya Liu,
Zijun Li,
Jie Yang
Short Papers
2026-09-16: submitted by Steven Moore, metadata including bibliographic data published under Creative Commons CC0
2026-09-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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