Research Summary: Judgment-Centred Software Engineering Education: A Post-Hype Review and Framework for AI-Augmented Learning

The integration of generative artificial intelligence (AI) into software development and computing education workflows has shifted the focus from allowing code generation to ensuring human understanding and responsible AI interaction. This document highlights a structured review of research and practice up to September 2026, aiming to develop a framework for AI-augmented learning that addresses these educational challenges.

Why it matters

This development is strategically important as it addresses the fundamental shift in how human expertise is valued and developed within technology-intensive fields. Ensuring that professionals can effectively collaborate with and understand increasingly autonomous AI systems is critical for maintaining innovation, quality, and ethical standards in software development and beyond.

Key insights

• Generative AI has become a standard component of software development and computing education.
• Software agents are increasingly active across various development tools, including repositories, command lines, browsers, and tests.
• The primary educational challenge has evolved from simply permitting code generation to maintaining and assessing human comprehension in an AI-augmented environment.
• There is a recognized need to prepare individuals to work responsibly with increasingly capable AI systems.
• The framework is based on an integrative review of research and practice from 2023 to 2026, complemented by existing work on AI literacy, technical debt, and human-AI collaboration.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2609.29473