---
title: "Summary: Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components"
date: 2026-04-27
tags: ['paper', 'research', 'ai']
---
# Summary: Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components


**Source**: [Original Paper](http://arxiv.org/abs/2604.24758v1)
Saved: 2026-05-08 03:29
Source: 2026-04-27_17-56-56Z_PersonalizedWorkedExampleGenerationfromStudentCode.md

---

## Summary
Presents a KC-guided system that extracts recurring pattern-based knowledge components from student code via AST analysis and uses them to condition worked-example generation. Expert evaluation suggests the KC-conditioned outputs are more relevant to learners’ logical errors and topical needs than baseline generations.

## Semantic links
- [[concepts/papers/2026-06-11_15-09-32Z_TowardInstructions_as_Code_Understandingthe_summary.md|Summary: 2026-06-11_15-09-32Z_TowardInstructions_as_Code_UnderstandingtheImpacto.md]] — 2 title terms overlap; shared tags: ai, paper, research; 5 summary/topic terms overlap

## Key Takeaways
- Derives knowledge components directly from student submissions.
- Conditions a generative model on extracted KC patterns.
- Aims to improve personalization in programming practice at scale.

## Context
The paper addresses the mismatch between fixed example libraries and the errors students actually make.

## Implications
KC-steered generation may make educational content more targeted and less costly to author.

## Original Reference
- Title: Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components
- Authors: Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram
- Published: 2026-04-27T17:56:56Z
- URL: http://arxiv.org/abs/2604.24758v1
- Source file: /home/rich/wiki/ai-research/raw/papers/2026-04-27_17-56-56Z_PersonalizedWorkedExampleGenerationfromStudentCode.md

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