Cover Image

Evaluating Contextually Personalized Programming Exercises Created with Generative AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Logacheva, Evanfiya, Hellas, Arto, Prather, James, Sarsa, Sami, Leinonen, Juho
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance
by: Mihaylova, Tsvetomila, et al.
Published: (2026)

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

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

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

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

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

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)

Probing the Unknown: Exploring Student Interactions with Probeable Problems at Scale in Introductory Programming
by: Denny, Paul, et al.
Published: (2025)

The Robots are Here: Navigating the Generative AI Revolution in Computing Education
by: Prather, James, et al.
Published: (2023)

Teaching Language Models How to Code Like Learners: Conversational Serialization for Student Simulation
by: Koutcheme, Charles, et al.
Published: (2026)

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

Breaking the Programming Language Barrier: Multilingual Prompting to Empower Non-Native English Learners
by: Prather, James, et al.
Published: (2024)

The Role of Generative AI in Software Student CollaborAItion
by: Kiesler, Natalie, et al.
Published: (2025)

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
by: Prather, James, et al.
Published: (2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
by: Prather, James, et al.
Published: (2024)

Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning
by: MacLellan, Christopher James, 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)

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
by: Kim, Tae Soo, et al.
Published: (2025)

Prompts First, Finally
by: Reeves, Brent N., et al.
Published: (2024)

Howzat? Appealing to Expert Judgement for Evaluating Human and AI Next-Step Hints for Novice Programmers
by: Brown, Neil C. C., et al.
Published: (2024)

Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills
by: Denny, Paul, et al.
Published: (2024)

Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
by: Verdone, Antonio, et al.
Published: (2025)

GenAI Voice Mode in Programming Education
by: Jacobs, Sven, et al.
Published: (2025)

Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory
by: Lee, Eunhae
Published: (2024)

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

Personalizing explanations of AI-driven hints to users' characteristics: an empirical evaluation
by: Bahel, Vedant, et al.
Published: (2024)

Deco: Extending Personal Physical Objects into Pervasive AI Companion through a Dual-Embodiment Framework
by: Jiang, Zhihan, et al.
Published: (2026)

Accuracy Standards for AI at Work vs. Personal Life: Evidence from an Online Survey
by: Besanson, Gaston, et al.
Published: (2026)

Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
by: Sajja, Ramteja, et al.
Published: (2023)

Assessing the Prevalence of AI-assisted Cheating in Programming Courses: A Pilot Study
by: Delphino, Kaléu
Published: (2025)

The Case for "Thick Evaluations" of Cultural Representation in AI
by: Qadri, Rida, et al.
Published: (2025)

From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
by: Reihanian, Iman, et al.
Published: (2025)

Beyond Models: A Framework for Contextual and Cultural Intelligence in African AI Deployment
by: Ndlovu, Qness
Published: (2025)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

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

Generative AI User Experience: Developing Human--AI Epistemic Partnership
by: Zhai, Xiaoming
Published: (2026)