Research Summary: The DX+ conceptual framework for AI-supported inclusive block programming in higher education

A conceptual framework, DX+, has been proposed to address the disproportionate difficulty faced by students with dyslexia and related reading challenges in learning programming. This framework integrates AI-supported visual block-programming with Universal Design for Learning (UDL) principles and large language models (LLMs) to simplify the programming learning process by reducing textual and syntactical burdens, while enabling automatic code generation in multiple languages.

Why it matters

This development highlights a critical need for inclusive design in technological education, addressing a significant barrier for a segment of the learner population. Overcoming these challenges can broaden the talent pool for technical roles and improve educational equity, fostering innovation and diversity within technologically driven sectors.

Key insights

• Students with dyslexia and related reading difficulties encounter significant obstacles in traditional programming environments due to their text-heavy and syntax-sensitive nature.
• The DX+ framework aims to mitigate these challenges by offering an AI-supported visual block-programming environment.
• This proposed environment would allow learners to construct algorithms using syntax-valid visual blocks.
• It would automatically translate these blocks into standard programming languages like Python, C++, and Java.
• DX+ uniquely combines block-based programming, Universal Design for Learning (UDL), and code-oriented large language models (LLMs).
• The framework is currently conceptual and has not yet been implemented or tested.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1902352