Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education

Citation

Elawady M & Ali H (2026) Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education. The UK and Ireland Computing Education Research (UKICER) conference, Cambridge, United Kingdom, 03.09.2026-04.09.2026. https://doi.org/10.1145/3830800.3830829

Abstract
Recent developments in generative artificial intelligence (GenAI) have enabled the production of high-quality content in many domains , including education and computing. These advances offer opportunities to support tutors in curriculum development and to enhance the learning experience for students. This paper presents an end-to-end pipeline that automatically suggests a set of module specifications based on user input and structured guidelines.

Keywords
CCS Concepts; Computing methodologies → Artificial intelligence;; Social and professional topics → Computer science education Keywords Artificial Intelligence, Natural Language Processing, Generative AI, Large Language Models, Curriculum Development, CS Education

Notes
U n p u b l i s h e d w o r k i n g d r a f t . N o t f o r d i s t r i b u t i o n . Mohamed Elawady and Hazrat Ali

• Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education