Accelerating math accessibility with the usage of AI

Spread the love

A yr in the past, NWEA, now a part of HMH, shared their modern method to make math extra accessible for college students. The goal was to establish the most important challenges and gaps in arithmetic for college students who use display screen readers and refreshable braille gadgets, as a result of classroom supplies usually are not all the time tailored to codecs comparable to braille or giant print, and supplies usually are not all the time appropriate for a screen-reader navigation, voice enter, or a mixture of those designs. NWEA developed prototypes that enabled display screen readers to work together with equations in a extra intuitive manner, based mostly on a way known as course of pushed math (PDM). 

NWEA continued to innovate and construct on their earlier analysis to create alternative ways of presenting advanced math, particularly for math taught in grades six to 9. In addition they labored on alternative ways of outputting math that included screen-reader performance and refreshable braille gadgets in each UEB (Unified English Braille) and Nemeth codecs. Furthermore, they developed a prototype for a voice-activated chatbot.  

To account for the accessibility of math equations, they used two markup languages, HTML and ARIA, to separate equations into elements or areas. Every area, in addition to the entire equation, had a hidden label {that a} display screen reader would say to customers as they explored the equation or expression. When college students moved from one area to a different, they might hear a phrase that described the sort of math in that area (for instance, “time period” or “fixed”). College students might then determine to enter the area and listen to the precise math, or they might simply skip to the following area.

The usage of generative AI  

By utilizing AI, particularly GPT-4, the workforce was capable of enhance each the standard of the mathematics in addition to the time required to transform the equations to HTML, and to make use of code technology to write down the code for the primary prototype. The mannequin solely wanted just a few examples to discover ways to change the preliminary check set of equations from MathML to the HTML construction that was essentially the most accessible. From there, the mannequin required context to make sure that responses had been formatted in one of the simplest ways for the app.  

Demo of utilizing the equations with a display screen reader:

Leave a Reply

Your email address will not be published. Required fields are marked *