Cover Image

Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Koutcheme, Charles, Leinonen, Juho, Hellas, Arto
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
by: Koutcheme, Charles, et al.
Published: (2024)

AI-Generated Slides: Are They Good? Can Students Tell?
by: Leinonen, Juho, et al.
Published: (2026)

Benchmarking Educational Program Repair
by: Koutcheme, Charles, et al.
Published: (2024)

Evaluating Language Models for Generating and Judging Programming Feedback
by: Koutcheme, Charles, et al.
Published: (2024)

On the Opportunities of Large Language Models for Programming Process Data
by: Edwards, John, et al.
Published: (2024)

Comparing Code Explanations Created by Students and Large Language Models
by: Leinonen, Juho, et al.
Published: (2023)

Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students
by: MacNeil, Stephen, et al.
Published: (2024)

Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
by: Solano, Lorenzo Lee, et al.
Published: (2025)

Experiences from Integrating Large Language Model Chatbots into the Classroom
by: Hellas, Arto, et al.
Published: (2024)

"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models
by: Bernstein, Seth, et al.
Published: (2024)

Evaluating Contextually Personalized Programming Exercises Created with Generative AI
by: Logacheva, Evanfiya, et al.
Published: (2024)

Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components
by: Pitts, Griffin, et al.
Published: (2026)

Let's Ask AI About Their Programs: Exploring ChatGPT's Answers To Program Comprehension Questions
by: Lehtinen, Teemu, et al.
Published: (2024)

Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks
by: Pasquarelli, Leonardo, et al.
Published: (2024)

The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness
by: Niousha, Rose, et al.
Published: (2026)

Using Large Language Models to Enhance Programming Error Messages
by: Leinonen, Juho, et al.
Published: (2022)

Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education
by: Jain, Mragisha, et al.
Published: (2026)

The Imperfect Learner: Incorporating Developmental Trajectories in Memory-based Student Simulation
by: Liu, Zhengyuan, et al.
Published: (2025)

LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education
by: Leinonen, Juho, et al.
Published: (2024)

Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
by: Marquez-Carpintero, Luis, et al.
Published: (2025)

Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)

The Carbon Cost of Conversation, Sustainability in the Age of Language Models
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)

Artificial Intelligence Bias on English Language Learners in Automatic Scoring
by: Guo, Shuchen, et al.
Published: (2025)

Application of GPT Language Models for Innovation in Activities in University Teaching
by: de Buenaga, Manuel, et al.
Published: (2024)

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization
by: Bao, Qiming, et al.
Published: (2026)

How Did We Get Here? Summarizing Conversation Dynamics
by: Hua, Yilun, et al.
Published: (2024)

Automated Assessment of Students' Code Comprehension using LLMs
by: Oli, Priti, et al.
Published: (2023)

How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)

KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
by: Duan, Zhangqi, et al.
Published: (2026)

Can We Improve Educational Diagram Generation with In-Context Examples? Not if a Hallucination Spoils the Bunch
by: Logacheva, Evanfiya, et al.
Published: (2026)

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)

How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses
by: Leppänen, Leo, et al.
Published: (2025)

Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
by: Du, Y.
Published: (2025)

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
by: Sood, Palak, et al.
Published: (2024)

Self-Blinding and Counterfactual Self-Simulation Mitigate Biases and Sycophancy in Large Language Models
by: Christian, Brian, et al.
Published: (2026)

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations
by: Shrivastava, Aryan, et al.
Published: (2024)

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
by: Pang, Xianghe, et al.
Published: (2024)

Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
by: Abraham, Louis, et al.
Published: (2024)

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest
by: Wu, Addison J., et al.
Published: (2026)