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45 papers5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

What Does History Add? Calendar Controls and Information-Timing Audits for University Trajectory Forecasting
Oct 15, 2026Zepei CaoEducation Trajectory Prediction
East China Normal University
TeachGrade: Training-Free Short Answer Scoring with Teacher Evidence
Oct 10, 2026Jinhao Yan, Zhihong Shen, Shengjie Wang +4Automated Grading LLM-as-a-Judge
Fuzhou University · Peking University
SRJudge: Empowering Large Language Models with Selective Reasoning for Fine-Grained Knowledge Concept Tagging
Sep 29, 2026Zhiwei Yang, Jiahua Yang, Huiru Lin +2RL for Language Model Reasoning AI in Education
Guangdong Institute of Smart Education, Jinan University, Guangzhou, China · School of Physical Education, Jinan University, Guangzhou, China · Guangdong Provincial Key Laboratory of Speed Capability Research, Guangzhou, China +1
StudentBench: AI and human tutoring yield equivalent GRE learning gains
Sep 23, 2026Curtis Northcutt, Inaara Hasmani, Kevin Feng +3Intelligent Tutoring Systems Generative AI in Education
Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
Sep 21, 2026Brian WrightAI in Education LLM Grounding
School of Data Science, University of Virginia
Edustories: A Collection of Real-world Case Studies from Classroom Practices
Sep 17, 2026Michal Štefánik, Jan Nehyba, Jirina Karasova +4AI in Education Educational Data Mining
Faculty of Education, Masaryk University, Czechia · R&D Center for Large Language Models, National Institute of Informatics, Japan
PersonaPath: Towards Knowledge-Centric Personalized Learning Path Planning
Sep 16, 2026Yu Liu, Zeming Liu, Tianle Zhang +6Intelligent Tutoring Systems LLM Planning
School of Computer Science and Engineering, Beihang University, Beijing, China · Beijing Institute of Technology · Harbin Institute of Technology (Shenzhen) +1
EduFair-Bench: Evaluating Pedagogical Fairness of LLM Tutors Across Student Demographics
Sep 11, 2026Jiaxu Zhao, Bahar Radmehr, Fares Fawzi +2Generative AI in Education Language Model Bias Evaluation
Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements
Sep 8, 2026Oliver G. B. Garrod, Robin A. A. Ince, Meng Liu +6Pairwise Preference Evaluation Pairwise Preference Learning
Fab AI
KnowVis: Knowledge-Centric Visual Summarization for Video Lectures
Sep 3, 2026Yi Xu, Yifan Hou, Xiaoyu ZhangVideo Understanding Video Summarization
City University of Hong Kong · ETH Zürich
Cite or Decline: A Strict Course-Grounded Chatbot for STEM Lecture Videos
Sep 1, 2026S M Masrur Ahmed, Jaspal SubhlokEvidence Retrieval Evidence-Grounded Generation
University of Houston
Study-Strategy Clusters from EdNet Logs Track Engagement, Not Mastery
Aug 17, 2026Qingchuan Lyu, Yingxin Li, Albert YangEducational Data Mining Education
Georgia Institute of Technology, Atlanta, GA, USA · New York University, New York, NY, USA
ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models
Aug 10, 2026Yilin Jiang, Xiaorong Zhu, Fei Tan +9LLM Safety Benchmarks LLM Evaluation
1East China Normal University · 2The Hong Kong University of Science and Technology (Guangzhou) · 3Shanghai Jiao Tong University +1
KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning
Aug 6, 2026Shuheng Cao, Weijia Zhang, Jiaqi Wu +4Agentic Retrieval Education
University of California, San Diego · Yale University · University of North Carolina, Chapel Hill
EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners
Aug 4, 2026Unggi Lee, Sookbun Lee, Yeil Jeong +3Intelligent Tutoring Systems AI in Education
Korea University Sejong Campus · Opentutorials · Indiana University +2
PredAct-Bench: Benchmarking Tool-Augmented Dialogue under Controlled Tool Noise
Aug 3, 2026Abdulrahman AlRabah, Xiaocheng Yang, Dilek Hakkani-Tür +1Human-AI Decision Making AI-Assisted Decision Making
University of Illinois Urbana-Champaign
Rethinking LLM-Judged Helpfulness as a Pedagogy Signal: A Pre-Registered Audit Across Tutor Models
Jul 30, 2026Shuyi Fan, Boyuan Deng, Mengyu Xu +4LLM Evaluation LLM-as-a-Judge
Columbia University, USA · Johns Hopkins University, USA · The University of Chicago, USA +4
AIriskEval-edu Demo: Auditing of Pedagogical Risks in Educational Explanations
Jul 28, 2026Javier Irigoyen, Roberto Daza, Francisco Jurado +5Generative AI in Education Explainability Evaluation
BiometricsAI, Universidad Autónoma de Madrid (UAM), Spain · GHIA, Universidad Autónoma de Madrid (UAM), Spain · Universidad de Las Palmas de Gran Canaria (ULPGC), Spain
EduPanel: A Three-Agent LLM Judge for Teaching Videos -- Reliability, Complementarity, and Human Trust Calibration
Jul 20, 2026Jia-Kai Dong, Yi-Cheng Lin, Hung-yi LeeLLM-as-a-Judge Educational Assessment
National Taiwan University · NTU Artificial Intelligence Center of Research Excellence
VectorizationLLM: Smart Vectorization Based AI Assistant
Jul 8, 2026Ryan DukeIntelligent Tutoring Systems Educational Technology
Department of Electrical & Computer Engineering Technology, New York Institute of Technology, Old Westbury, NY, USA
EduArt: An educational-level benchmark for evaluating art history knowledge in large language models
Jul 2, 2026Gianmarco Spinaci, Lukas Klic, Giovanni ColavizzaEducational Assessment Multimodal QA
Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy · Villa i Tatti – The Harvard University Center for Italian Renaissance Studies, Firenze, Italy · Center for Computational and Digital Humanities, University of Copenhagen, Copenhagen, Denmark
Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring
Jun 18, 2026Po-Chin Chang, Nicholas Hogan, Aske Plaat +1Prompt Learning Intelligent Tutoring Systems
Leiden University · FutureWhiz
Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification
Jun 16, 2026Haocheng Zhang, Zhuqian Zhou, Kirk Vanacore +2AI in Education Privacy-Preserving ML
Cornell University, Ithaca, NY, USA
Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutors
Jun 15, 2026Junyi Yao, Zihao Zheng, Baichuan LiLLM Evaluation Intelligent Tutoring Systems
Washington University in St. Louis, St. Louis, MO, USA · Department of Operations Research and Engineering Management, Southern Methodist University, Dallas, TX, USA
LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization
Jun 13, 2026Joy Bose, Om ThomasCognitive Modeling Educational Assessment
Independent Researchers Bengaluru, India
LessonBench-V1: A Benchmark Dataset for Evaluating AI Lesson Generation Agents
Jun 12, 2026Ravidu Suien Rammuni Silva, Ahmad Lotfi, Isibor Kennedy Ihianle +2Educational Assessment Generative AI in Education
Department of Computer Science, Nottingham Trent University, Nottingham, UK · Department of Physics and Mathematics, Nottingham Trent University, Nottingham, UK
Elmes*: Automated Construction of Fine-Grained Evaluation Rubrics for Large Language Models in Long-Tail Educational Scenarios
Jun 4, 2026Tao Liu, Ye Lu, Ruohua Zhang +4Automatic Rubric Generation LLM Evaluation
1Shanghai Institute of AI for Education, East China Normal University, Shanghai 200062, China · School of Computer Science and Technology, East China Normal University, Shanghai 200062, China · 3Shanghai Innovation Institute, Shanghai 200231, China
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
Jun 2, 2026Linsen Li, Aron Culotta, Nicholas MatteiCausal Effect Estimation Education
Department of Computer Science Tulane University, New Orleans, LA, USA
Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation
May 26, 2026Unggi Lee, Hoyoung Ahn, Yoon Choi +16Generative AI in Education Video Generation
Korea University Sejong Campus · Cardiff Metropolitan University · Seoul National University +10
PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions
May 15, 2026Miina Koyama, Ruiwei Xiao, John StamperHuman-AI Interaction LLM Prompting
Carnegie Mellon University Pittsburgh, Pennsylvania, USA

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What Does History Add? Calendar Controls and Information-Timing Audits for University Trajectory Forecasting

Zepei Cao

East China Normal University

Education Trajectory Prediction Time Series Forecasting AI in Education

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We audit the predictive value of historical summaries in a rule-based university trajectory simulator. Seventeen ridge specifications and persistence separate current plans, past-state and past-plan summaries, and calendar-only history-length indicators. Across training, validation and two family-held-out evaluations, we reconstruct 16,750 routes and 804,000 monthly records. On the original 40-family set, six-month history lowers six-step normalized RMSE from 0.159234 to 0.151522, but its difference from a length-only control is -0.000895 (descriptive paired 95% interval [-0.001957,0.000248]). Fixed weights on 30 families unused in identified prior tasks reproduce this pattern: 0.156480 to 0.150074 versus current-state prediction, but -0.000558 [-0.001783,0.000728] versus the length control. These uncertain comparisons do not generalize to all-history summaries, which improve on their own calendar control. Exploratory decomposition finds clearer preparation-index and funds benefits, whereas fatigue dominates the six-month model's loss and has an uncertain length-controlled benefit. Moreover, 28.20% of its six-step fatigue predictions violate the simulator's [5,90] support. We document family dependence, prior exposure, strict temporal indexing, matched recursive references and independent numerical replay. The task conditions on recorded future plans; it does not evaluate real-student forecasts, causal action effects, autonomous planning or language-model memory. This is an evaluation audit, not a new memory architecture.