Saved in:
| Main Authors: | Maurya, Kaushal Kumar, Kochmar, Ekaterina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.22581 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
by: Maurya, Kaushal Kumar, et al.
Published: (2024)
by: Maurya, Kaushal Kumar, et al.
Published: (2024)
AITutor-EvalKit: Exploring the Capabilities of AI Tutors
by: Naeem, Numaan, et al.
Published: (2025)
by: Naeem, Numaan, et al.
Published: (2025)
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
by: Kochmar, Ekaterina, et al.
Published: (2025)
by: Kochmar, Ekaterina, et al.
Published: (2025)
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback
by: Tonga, Junior Cedric, et al.
Published: (2025)
by: Tonga, Junior Cedric, et al.
Published: (2025)
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
by: Maurya, Kaushal Kumar, et al.
Published: (2024)
by: Maurya, Kaushal Kumar, et al.
Published: (2024)
Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing
by: Srivatsa, KV Aditya, et al.
Published: (2024)
by: Srivatsa, KV Aditya, et al.
Published: (2024)
LLMs cannot spot math errors, even when allowed to peek into the solution
by: Srivatsa, KV Aditya, et al.
Published: (2025)
by: Srivatsa, KV Aditya, et al.
Published: (2025)
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?
by: Srivatsa, KV Aditya, et al.
Published: (2025)
by: Srivatsa, KV Aditya, et al.
Published: (2025)
Towards Reward Modeling for AI Tutors in Math Mistake Remediation
by: Petukhova, Kseniia, et al.
Published: (2026)
by: Petukhova, Kseniia, et al.
Published: (2026)
Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation
by: Petukhova, Kseniia, et al.
Published: (2025)
by: Petukhova, Kseniia, et al.
Published: (2025)
Opportunities and Challenges of LLMs in Education: An NLP Perspective
by: Vajjala, Sowmya, et al.
Published: (2025)
by: Vajjala, Sowmya, et al.
Published: (2025)
LLMs in Education: Novel Perspectives, Challenges, and Opportunities
by: Alhafni, Bashar, et al.
Published: (2024)
by: Alhafni, Bashar, et al.
Published: (2024)
A Fully Automated Pipeline for Conversational Discourse Annotation: Tree Scheme Generation and Labeling with Large Language Models
by: Petukhova, Kseniia, et al.
Published: (2025)
by: Petukhova, Kseniia, et al.
Published: (2025)
Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation
by: Barakat, Mariam, et al.
Published: (2026)
by: Barakat, Mariam, et al.
Published: (2026)
REFeREE: A REference-FREE Model-Based Metric for Text Simplification
by: Huang, Yichen, et al.
Published: (2024)
by: Huang, Yichen, et al.
Published: (2024)
What Makes Math Word Problems Challenging for LLMs?
by: Srivatsa, KV Aditya, et al.
Published: (2024)
by: Srivatsa, KV Aditya, et al.
Published: (2024)
Listen, Correct, and Feed Back: Spoken Pedagogical Feedback Generation
by: Liang, Junhong, et al.
Published: (2026)
by: Liang, Junhong, et al.
Published: (2026)
What Makes Cryptic Crosswords Challenging for LLMs?
by: Sadallah, Abdelrahman, et al.
Published: (2024)
by: Sadallah, Abdelrahman, et al.
Published: (2024)
Are LLMs Good Cryptic Crossword Solvers?
by: Sadallah, Abdelrahman, et al.
Published: (2024)
by: Sadallah, Abdelrahman, et al.
Published: (2024)
Generative AI and Its Impact on Personalized Intelligent Tutoring Systems
by: Maity, Subhankar, et al.
Published: (2024)
by: Maity, Subhankar, et al.
Published: (2024)
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
by: Kazakov, Roman, et al.
Published: (2024)
by: Kazakov, Roman, et al.
Published: (2024)
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
by: Petukhova, Kseniia, et al.
Published: (2024)
by: Petukhova, Kseniia, et al.
Published: (2024)
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
by: Chowdhury, Sankalan Pal, et al.
Published: (2024)
by: Chowdhury, Sankalan Pal, et al.
Published: (2024)
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
by: Maurya, Kaushal Kumar, et al.
Published: (2023)
by: Maurya, Kaushal Kumar, et al.
Published: (2023)
SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
by: Hazra, Rima, et al.
Published: (2026)
by: Hazra, Rima, et al.
Published: (2026)
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes
by: Elkins, Sabina, et al.
Published: (2024)
by: Elkins, Sabina, et al.
Published: (2024)
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy
by: Guo, Grace, et al.
Published: (2024)
by: Guo, Grace, et al.
Published: (2024)
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems
by: Liu, Zhengyuan, et al.
Published: (2024)
by: Liu, Zhengyuan, et al.
Published: (2024)
GRADE: Generalizable Reasoning-Aware Dialogue Evaluation for AI Tutors
by: Bhalerao, Parth, et al.
Published: (2026)
by: Bhalerao, Parth, et al.
Published: (2026)
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
by: Shi, Weikang, et al.
Published: (2026)
by: Shi, Weikang, et al.
Published: (2026)
Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System
by: Huang, Xiaoshan, et al.
Published: (2026)
by: Huang, Xiaoshan, et al.
Published: (2026)
RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
by: Góngora, Santiago, et al.
Published: (2025)
by: Góngora, Santiago, et al.
Published: (2025)
Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
by: Chen, Wei-Yu
Published: (2024)
by: Chen, Wei-Yu
Published: (2024)
WHBench: Evaluating Frontier LLMs with Expert-in-the-Loop Validation on Women's Health Topics
by: Maurya, Sneha, et al.
Published: (2026)
by: Maurya, Sneha, et al.
Published: (2026)
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
by: Li, Zhaoxing, et al.
Published: (2024)
by: Li, Zhaoxing, et al.
Published: (2024)
Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Course
by: Kahl, Sebastian, et al.
Published: (2024)
by: Kahl, Sebastian, et al.
Published: (2024)
KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan
by: Togmanov, Mukhammed, et al.
Published: (2025)
by: Togmanov, Mukhammed, et al.
Published: (2025)
Open TutorAI: An Open-source Platform for Personalized and Immersive Learning with Generative AI
by: Hajji, Mohamed El, et al.
Published: (2026)
by: Hajji, Mohamed El, et al.
Published: (2026)
MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
by: Yang, Tengchao, et al.
Published: (2025)
by: Yang, Tengchao, et al.
Published: (2025)
DeepTutor: Towards Agentic Personalized Tutoring
by: Zhao, Bingxi, et al.
Published: (2026)
by: Zhao, Bingxi, et al.
Published: (2026)
Similar Items
-
Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI Tutors
by: Maurya, Kaushal Kumar, et al.
Published: (2024) -
AITutor-EvalKit: Exploring the Capabilities of AI Tutors
by: Naeem, Numaan, et al.
Published: (2025) -
Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors
by: Kochmar, Ekaterina, et al.
Published: (2025) -
Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback
by: Tonga, Junior Cedric, et al.
Published: (2025) -
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
by: Maurya, Kaushal Kumar, et al.
Published: (2024)