:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qiu, Eric S., Thomas, Danielle R., Guo, Boyuan, Aleven, Vincent, Borchers, Conrad
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computers and Society
Online Access:	https://arxiv.org/abs/2605.12788
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps
by: Xia, Meng, et al.
Published: (2025)

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

Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support
by: Venugopalan, Devika, et al.
Published: (2024)

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?
by: Borchers, Conrad, et al.
Published: (2026)

3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
by: Zhang, Liang, et al.
Published: (2024)

How Learner Control and Explainable Learning Analytics on Skill Mastery Shape Student Desires to Finish and Avoid Loss in Tutored Practice
by: Borchers, Conrad, et al.
Published: (2024)

Sticky Help, Bounded Effects: Session-by-Session Analytics of Teacher Interventions in K-12 Classrooms
by: Jin, Qiao, et al.
Published: (2026)

Starting Seatwork Earlier as a Valid Measure of Student Engagement
by: Gurung, Ashish, et al.
Published: (2025)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
by: Baucks, Frederik, et al.
Published: (2024)

Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning
by: Borchers, Conrad, et al.
Published: (2026)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
by: Zhang, Liang, et al.
Published: (2024)

Toward Trait-Aware Learning Analytics
by: Borchers, Conrad, et al.
Published: (2026)

Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation
by: Thomas, Danielle R., et al.
Published: (2025)

Evaluating the Impact of Data Augmentation on Predictive Model Performance
by: Švábenský, Valdemar, et al.
Published: (2024)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
by: Aleven, Vincent, et al.
Published: (2025)

Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
by: Thuy, Arthur, et al.
Published: (2024)

Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork
by: Gurung, Ashish, et al.
Published: (2026)

Disentangling Learning from Judgment: Representation Learning for Open Response Analytics
by: Borchers, Conrad, et al.
Published: (2025)

A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting
by: Agyemang, Edmund F., et al.
Published: (2025)

LLM-Generated Feedback Supports Learning If Learners Choose to Use It
by: Thomas, Danielle R., et al.
Published: (2025)

Understanding Student Effort Using Response-Time Propensities During Problem Solving
by: Borchers, Conrad, et al.
Published: (2026)

Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
by: Chatterjee, Ajay, et al.
Published: (2024)

Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges
by: Švábenský, Valdemar, et al.
Published: (2026)

Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning
by: Noh, Haley, et al.
Published: (2026)

Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes
by: Duong, Manh Khoi, et al.
Published: (2024)

Toward Sufficient Statistical Power in Algorithmic Bias Assessment: A Test for ABROCA
by: Borchers, Conrad
Published: (2025)

SmartPathfinder: Pushing the Limits of Heuristic Solutions for Vehicle Routing Problem with Drones Using Reinforcement Learning
by: Imran, Navid Mohammad, et al.
Published: (2024)

Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding
by: Borchers, Conrad, et al.
Published: (2026)

Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education
by: Thomas, Danielle R., et al.
Published: (2026)

Accurate Multi-Category Student Performance Forecasting at Early Stages of Online Education Using Neural Networks
by: Junejo, Naveed Ur Rehman, et al.
Published: (2024)

Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Study
by: Qu, Xiaodong, et al.
Published: (2024)

Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
by: Nguyen, Tin Trung, et al.
Published: (2025)

Who Decides in AI-Mediated Learning? The Agency Allocation Framework
by: Borchers, Conrad, et al.
Published: (2026)

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
by: Chen, Jun-Hao, et al.
Published: (2025)

Persona-Based Simulation of Human Opinion at Population Scale
by: Li, Mao, et al.
Published: (2026)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
by: Qiu, Xiangfei, et al.
Published: (2024)

Exploring Student Expectations and Confidence in Learning Analytics
by: Asatryan, Hayk, et al.
Published: (2026)

Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE
by: Švábenský, Valdemar, et al.
Published: (2026)

Behavioural Analytics: Mathematics of the Mind
by: Lane, Richard, et al.
Published: (2025)

Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
by: Du, Yishan, et al.
Published: (2025)