:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Weitekamp, Daniel, Smith, Glen, Koedinger, Kenneth, MacLellan, Christopher
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2409.07653
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency
by: Weitekamp, Daniel, et al.
Published: (2025)

AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
by: Weitekamp, Daniel, et al.
Published: (2024)

TRESTLE: A Model of Concept Formation in Structured Domains
by: MacLellan, Christopher J., et al.
Published: (2024)

Trust Region Continual Learning as an Implicit Meta-Learner
by: Wang, Zekun, et al.
Published: (2026)

TutorGym: A Testbed for Evaluating AI Agents as Tutors and Students
by: Weitekamp, Daniel, et al.
Published: (2025)

Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation
by: Barari, Nicki, et al.
Published: (2025)

Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study
by: Zhou, Jieyu, et al.
Published: (2024)

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
by: Lian, Xin, et al.
Published: (2024)

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context
by: Wang, Zekun, et al.
Published: (2026)

VAL: Interactive Task Learning with GPT Dialog Parsing
by: Lawley, Lane, et al.
Published: (2023)

When Should Users Check? Modeling Confirmation Frequency inMulti-Step Agentic AI Tasks
by: Zhou, Jieyu, et al.
Published: (2025)

DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis
by: Petkov, Hristo, et al.
Published: (2026)

Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors
by: Smith, Glen, et al.
Published: (2024)

Test-Time Compositional Generalization in Diffusion Models via Concept Discovery
by: Wang, Zekun, et al.
Published: (2026)

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models
by: Wang, Zekun, et al.
Published: (2025)

Incremental Concept Formation over Visual Images Without Catastrophic Forgetting
by: Barari, Nicki, et al.
Published: (2024)

Beyond Final Answers: Evaluating Large Language Models for Math Tutoring
by: Gupta, Adit, et al.
Published: (2025)

A Rational Account of Categorization Based on Information Theory
by: MacLellan, Christopher J., et al.
Published: (2026)

Model Human Learners: Computational Models to Guide Instructional Design
by: MacLellan, Christopher J.
Published: (2025)

Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
by: Gupta, Adit, et al.
Published: (2024)

Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact
by: Gupta, Adit, et al.
Published: (2025)

Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces
by: Calo, Tommaso, et al.
Published: (2024)

Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning
by: MacLellan, Christopher James, et al.
Published: (2024)

Incremental and Data-Efficient Concept Formation to Support Masked Word Prediction
by: Lian, Xin, et al.
Published: (2024)

Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision-Language Models
by: Roy, Aryan, et al.
Published: (2026)

Teaching AI Interactively: A Case Study in Higher Education
by: Reddig, Jennifer M., et al.
Published: (2026)

AI Unplugged: Embodied Interactions for AI Literacy in Higher Education
by: Reddig, Jennifer M., et al.
Published: (2026)

HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
by: Siddiqui, Momin N., et al.
Published: (2024)

ConditionNET: Learning Preconditions and Effects for Execution Monitoring
by: Sliwowski, Daniel, et al.
Published: (2025)

Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
by: Zhang, Yilang, et al.
Published: (2025)

CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling
by: Singaravadivelan, Karthik, et al.
Published: (2026)

Preconditioned Neural Posterior Estimation for Likelihood-free Inference
by: Wang, Xiaoyu, et al.
Published: (2024)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
by: Zhang, Liang, et al.
Published: (2024)

Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
by: Zhang, Yechen, et al.
Published: (2026)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
by: Borchers, Conrad, et al.
Published: (2025)

Universal Sequence Preconditioning
by: Marsden, Annie, et al.
Published: (2025)

Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
by: Ye, Zhenzhang, et al.
Published: (2024)

Constraint Learning in Multi-Agent Dynamic Games from Demonstrations of Local Nash Interactions
by: Zhang, Zhouyu, et al.
Published: (2025)

Training Dynamics of Softmax Self-Attention: Fast Global Convergence via Preconditioning
by: Goel, Gautam, et al.
Published: (2026)

Is Exploration or Optimization the Problem for Deep Reinforcement Learning?
by: Berseth, Glen
Published: (2025)