Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models
Abstract
Motivation: Large Language Models (LLMs) have been widely applied to student-facing educational tools, this work explores their use in supporting instructors by presenting a practical adaptation of the Framework for Adaptive Content using Educational Technology (FACET) system to generate personalized instructional materials for an Introduction to Computer Programming (CS1) course.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Teaching and Learning Programming
Online Learning and Analytics
Publication details
- Journal / source
- Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1
- Publisher
- ACM
- Pages
- 114–120
- Publication date
- 6 July 2026