Computer Science Accessibility Professional Development for K–8 Teachers

We believe every student should have the opportunity to learn computer science, including students with disabilities. Our work is guided by the POUR accessibility evaluation framework: Perceivable, Operable, Understandable, and Robust (POUR).

This project is led by the University of Florida’s CS Everyone Center and funded by Google’s Blockly Accessibility Fund. Together with teachers, schools, and partner organizations, we are providing professional development and resources for teachers to analyze, design, and implement the POUR principles and the hardware assessment evaluation framework in their classrooms to make computer science learning accessible for all.

How This Project Started

This project grew out of UDL4CS (Universal Design for Learning for Computer Science), where teachers came together to design ways of teaching computer science and robotics to all learners, including those with disabilities. Universal Design for Learning (UDL) focuses on making lessons flexible, engaging, and accessible for every learner.
Our focus now is to support teachers through professional development and resources that help them bring accessibility into their classrooms. That means giving teachers frameworks, strategies, and even robots to make computer science activities inclusive and fun.

What We Aim to Do

Learn from teachers about how they bring accessibility into computer science.
Prepare teachers to use accessibility frameworks for both hardware and software evaluation for Blockly-supported tools in their classrooms.
Provide classroom resources, including robots, so teachers can use them in lesson plans they will create.
Provide the Blockly team with approaches to improve the accessibility of their products

Frameworks We Use

POUR Framework

The Perceivable, Operable, Understandable, Robust (POUR) Framework is a practical tool to help teachers review, evaluate, and adjust their digital resources and learning materials. It gives teachers a structured way to examine digital materials and spot where access breaks down. Instead of waiting until a student struggles, teachers can use POUR as a lens to evaluate digital resources in advance, ensuring that more learners are included from the beginning.

Perceivable

Information is presented in ways learners can recognize and access.

Operable

Learners can navigate the information with their preferred tools.

Understandable

Learners can easily follow the information from the consistent and predictable design.

Robust

Information presentation works reliably across different platforms and technologies.

Hardware POUR (H-POUR) Framework

H-POUR (Hardware-POUR) reframes the digital accessibility principles of POUR (Perceivable, Operable, Understandable, and Robust) to evaluate physical interaction, access, engagement, and cognitive effort in hands-on CS learning. It is designed to complement, not replace, digital accessibility standards.

Perceivable

Learners can detect device states, feedback, and outputs through accessible multi-sensory channels.

Operable

Learners can physically manipulate and interact with the device without requiring excessive precision, coordination, strength, or endurance.

Understandable

Learners can predict the effects of their actions and interpret outcomes, even when physical interaction varies.

Robust

The device supports reliable, safe, and sustained use across diverse bodies, tools, and learning environments.

Framework Alignment Matrix

The POUR and H-POUR Frameworks align along four shared principles. Here is how each framework interprets the POUR principles of Perceivable, Operable, Understandable, and Robust.

Principle POUR Framework H-POUR Framework
Perceivable
Perceivable
Information is presented in ways learners can recognize and access. Learners can detect device states, feedback, and outputs through accessible multi-sensory channels.
Operable
Operable
Learners can navigate the information with their preferred tools. Learners can physically manipulate and interact with the device without requiring excessive precision, coordination, strength, or endurance.
Understandable
Understandable
Learners can easily follow the information from the consistent and predictable design. Learners can predict the effects of their actions and interpret outcomes, even when physical interaction varies.
Robust
Robust
Information presentation works reliably across different platforms and technologies. The device supports reliable, safe, and sustained use across diverse bodies, tools, and learning environments.

Our Team

Meet the people behind the project

Project Team

Andrew Bennett

Andrew Bennett

Principal Investigator (PI), Doctoral Candidate

Maya Israel, Ph.D.

Maya Israel, Ph.D.

Co-PI, Director of CS Everyone Center for CS Education & Associate Professor

Dwi Maharrani

Dwi Maharrani

Graduate Assistant, Doctoral Student

Leela Kumaran, Ph.D.

Leela Kumaran, Ph.D.

Research Coordinator III

Stephany Rodriguez

Stephany Rodriguez

Research Coordinator I

Michael McKelvey

Michael McKelvey

Web Developer & Accessibility Specialist

Nykema Lindsey

Nykema Lindsey

Innovative CS Education Teaching & Learning Specialist

Advisory Team

Luis Pérez, Ph.D.

Luis Pérez, Ph.D.

Stephanie Ludi, Ph.D.

Stephanie Ludi, Ph.D.

Kiki Protssman

Kiki Protssman

Regina Fugate

Regina Fugate

Our Partners

We work closely with schools and organizations that share our vision

Major Milestones

  • Bennett, A., Maharrani, D., Lindsey, N., & Israel, M. (2026, March 26). Evaluating accessibility with POUR. University of Florida National AI Literacy Days Conference, Gainesville, FL
  • Maharranni, D., Bennett, A., Lindsey, N., & Israel, M. (2026, March 26). Developing accessibility self-assessment for computer science teachers (ACCESS) instrument. University of Florida National AI Literacy Days Conference, Gainesville, FL
  • Bennett, A. & Israel, M. (2025). Teachers’ POUR Evaluation of Computer Science Technologies (2025). RESPECT 2025: Proceedings of the Research in Equitable and Sustained Participation in Engineering, Computing, and Technology. 18-26. https://doi.org/10.1145/3704637.3734774.
  • Bennett, A. & Israel, M. (2025, June 4). Professional development for K-5 teachers to tailor the POUR principles to their use cases [Paper presentation]. Google Blockly Summit 2025, Seattle, WA, USA. Video.
  • Israel, M., Stefik, A., Fugate, G., & Bennett, A. (2025, May 9). Beyond compliance: Designing accessible tools for dynamic learning [Panel discussion]. Infosys Crossroads Conference 2025, Indianapolis, IN, USA.