Saved in:
| Main Authors: | Vanzo, Alessandro, Chowdhury, Sankalan Pal, Sachan, Mrinmaya |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.15981 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
by: Wang, Junling, et al.
Published: (2024)
by: Wang, Junling, et al.
Published: (2024)
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026)
by: Rooein, Donya, et al.
Published: (2026)
Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting
by: Chowdhury, Sankalan Pal, et al.
Published: (2025)
by: Chowdhury, Sankalan Pal, et al.
Published: (2025)
Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)
by: Gupta, Vansh, et al.
Published: (2025)
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
by: Do, Heejin, et al.
Published: (2026)
by: Do, Heejin, et al.
Published: (2026)
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
by: Shi, Minjing, et al.
Published: (2026)
by: Shi, Minjing, et al.
Published: (2026)
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure
by: Puech, Romain, et al.
Published: (2024)
by: Puech, Romain, et al.
Published: (2024)
Training LLM-based Tutors to Improve Student Learning Outcomes in Dialogues
by: Scarlatos, Alexander, et al.
Published: (2025)
by: Scarlatos, Alexander, et al.
Published: (2025)
LLM-based Cognitive Models of Students with Misconceptions
by: Sonkar, Shashank, et al.
Published: (2024)
by: Sonkar, Shashank, et al.
Published: (2024)
Misconception Acquisition Dynamics in Large Language Models
by: Liu, Naiming, et al.
Published: (2026)
by: Liu, Naiming, et al.
Published: (2026)
That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai
by: Jacobs, Sven, et al.
Published: (2025)
by: Jacobs, Sven, et al.
Published: (2025)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Student Engagement with GenAI's Tutoring Feedback: A Mixed Methods Study
by: Jacobs, Sven, et al.
Published: (2025)
by: Jacobs, Sven, et al.
Published: (2025)
Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
by: Ikram, Fareya, et al.
Published: (2025)
by: Ikram, Fareya, et al.
Published: (2025)
Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs
by: Gurung, Ashish, et al.
Published: (2026)
by: Gurung, Ashish, et al.
Published: (2026)
Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support
by: Venugopalan, Devika, et al.
Published: (2024)
by: Venugopalan, Devika, et al.
Published: (2024)
Brief but Impactful: How Human Tutoring Interactions Shape Engagement in Online Learning
by: Borchers, Conrad, et al.
Published: (2026)
by: Borchers, Conrad, et al.
Published: (2026)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)
by: Jenny, David F., et al.
Published: (2023)
The power of moral words: Loaded language generates framing effects in the extreme dictator game
by: Capraro, Valerio, et al.
Published: (2019)
by: Capraro, Valerio, et al.
Published: (2019)
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
by: Cui, Peng, et al.
Published: (2025)
by: Cui, Peng, et al.
Published: (2025)
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
by: Macina, Jakub, et al.
Published: (2025)
by: Macina, Jakub, et al.
Published: (2025)
Exploring the Factors of "AI Guilt" Among Students -- Are You Guilty of Using AI in Your Homework?
by: Chan, Cecilia Ka Yuk
Published: (2024)
by: Chan, Cecilia Ka Yuk
Published: (2024)
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025)
by: Sun, Yucheng, et al.
Published: (2025)
Simulated Students in Tutoring Dialogues: Substance or Illusion?
by: Scarlatos, Alexander, et al.
Published: (2026)
by: Scarlatos, Alexander, et al.
Published: (2026)
CausalCite: A Causal Formulation of Paper Citations
by: Kumar, Ishan, et al.
Published: (2023)
by: Kumar, Ishan, et al.
Published: (2023)
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)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
Reflective Homework as a Learning Tool: Evidence from Comparing Thirteen Years of Dual vs. Single Submission
by: Dixit, Madhur, et al.
Published: (2025)
by: Dixit, Madhur, et al.
Published: (2025)
61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)
by: Zamfirescu-Pereira, J. D., et al.
Published: (2024)
by: Zamfirescu-Pereira, J. D., et al.
Published: (2024)
Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)
by: Jin, Zhijing, et al.
Published: (2024)
Uncovering Student Engagement Patterns in Moodle with Interpretable Machine Learning
by: Johnston, Laura J., et al.
Published: (2024)
by: Johnston, Laura J., et al.
Published: (2024)
Detecting Verbatim LLM Copy-Paste in Homework
by: Aiersilan, Aizierjiang
Published: (2026)
by: Aiersilan, Aizierjiang
Published: (2026)
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs
by: Scarlatos, Alexander, et al.
Published: (2024)
by: Scarlatos, Alexander, et al.
Published: (2024)
Benchmarking Large Language Models on Homework Assessment in Circuit Analysis
by: Chen, Liangliang, et al.
Published: (2025)
by: Chen, Liangliang, et al.
Published: (2025)
Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues
by: Duan, Zhangqi, et al.
Published: (2026)
by: Duan, Zhangqi, et al.
Published: (2026)
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
by: Ozyurt, Yilmazcan, et al.
Published: (2024)
Exploring Engagement and Perceived Learning Outcomes in an Immersive Flipped Learning Context
by: Alizadeh, Mehrasa
Published: (2024)
by: Alizadeh, Mehrasa
Published: (2024)
An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop
by: Aleven, Vincent, et al.
Published: (2025)
by: Aleven, Vincent, 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
-
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
by: Chowdhury, Sankalan Pal, et al.
Published: (2024) -
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
by: Wang, Junling, et al.
Published: (2024) -
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026) -
Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting
by: Chowdhury, Sankalan Pal, et al.
Published: (2025) -
Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)