$Cover Image$

Beyond Final Answers: Evaluating Large Language Models for Math Tutoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gupta, Adit, Reddig, Jennifer, Calo, Tommaso, Weitekamp, Daniel, MacLellan, Christopher J.
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

Visualizing Intelligent Tutor Interactions for Responsive Pedagogy
by: Guo, Grace, et al.
Published: (2024)

Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors
by: Kakarla, Sanjit, et al.
Published: (2024)

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

MathBuddy: A Multimodal System for Affective Math Tutoring
by: Kar, Debanjana, et al.
Published: (2025)

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

Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement
by: Abdelshiheed, Mark, et al.
Published: (2024)

Empowering Private Tutoring by Chaining Large Language Models
by: Chen, Yulin, et al.
Published: (2023)

Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
by: Kim, Yoonsu, et al.
Published: (2025)

Beyond prior knowledge: The predictive role of knowledge-building in Tutor Learning
by: Shahriar, Tasmia, et al.
Published: (2025)

WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
by: Chen, Liangliang, et al.
Published: (2025)

Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems
by: Lyu, Qianru, et al.
Published: (2026)

Ensembling Large Language Models to Characterize Affective Dynamics in Student-AI Tutor Dialogues
by: Zhang, Chenyu, et al.
Published: (2025)

AITEE -- Agentic Tutor for Electrical Engineering
by: Knievel, Christopher, 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)

Facial-Expression-Aware Prompting for Empathetic LLM Tutoring
by: Feng, Shuangquan, et al.
Published: (2026)

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
by: Ma, Kevin, et al.
Published: (2024)

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
by: Kim, Sunnie S. Y., et al.
Published: (2025)

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models
by: Huang, Zhongzhan, et al.
Published: (2025)

Iris: An AI-Driven Virtual Tutor For Computer Science Education
by: Bassner, Patrick, et al.
Published: (2024)

Improving Public Service Chatbot Design and Civic Impact: Investigation of Citizens' Perceptions of a Metro City 311 Chatbot
by: Zhou, Jieyu, et al.
Published: (2025)

Evaluating Usability and Engagement of Large Language Models in Virtual Reality for Traditional Scottish Curling
by: Lau, Ka Hei Carrie, et al.
Published: (2024)

Integrating Virtual Reality and Large Language Models for Team-Based Non-Technical Skills Training and Evaluation in the Operating Room
by: Barker, Jacob, et al.
Published: (2026)

From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model
by: Ahn, Yongsu, et al.
Published: (2026)

Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model Coordination
by: Zhang-Li, Daniel, et al.
Published: (2024)

"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
by: Kim, Sunnie S. Y., et al.
Published: (2024)

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
by: Prather, James, et al.
Published: (2024)

Lexara: A User-Centered Toolkit for Evaluating Large Language Models for Conversational Visual Analytics
by: Palani, Srishti, et al.
Published: (2026)

Factors Impacting the Quality of User Answers on Smartphones
by: Bison, Ivano, et al.
Published: (2023)

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

PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions
by: Koyama, Miina, et al.
Published: (2026)