Dyslexia is a learning disorder that mainly affects the ability of an individual to read and write. It is approximated that roughly five to ten percent of Americans show indications of dyslexia, experiencing symptoms like being slow to learn how to read, struggling to spell even simple words, or mixing up words.
Presently, there is no single definitive test applied for the diagnosis of this condition. Nevertheless, according to experts, various factors considered may strongly signify a problem.
Dyslexia is typically diagnosed through a series of visual, speaking, reading, and memory tests. It is essential to understand that this condition is a uniquely different disorder from learning difficulties linked to hearing or visual impairments or with types of learning problems.
Machine-Learning for Dyslexia
According to Interesting Engineering, machine learning is a potent tool. Its main benefit over some other analytical or prognostic mechanisms is its ability to process large data sets far faster and more effective than human researchers could manage.
Machine learning utilizes computer algorithms that automatically enhance their ability to assess data through experience.
The machine learning model exhibited promising results demonstrating that in a data set of more than 250 students, 20.7 percent were assumed to possibly suffer from dyslexia. The result was validated by dyslexia experts evaluating the same data sets.
Another research from the University of Indiana suggested using neural networks to develop a model that can successfully determine dyslexia from historical data sets.
Specifically, for Neural Networks
Machine learning tools, and more specifically, neural networks, are consistently tested and regulated through the use of stock data such as sample handwriting from the handwritten digits' MNIST database.
Remarkably, machine learning models can have problems too, identifying numbers and letters through computer vision, distinguishing between two numbers when trying to guess the actual value of samples of handwriting.
Nevertheless, it needs to be noted that some individuals have quite unclear handwriting. This is interesting as it provides a preview into the human brain's inner workings, learning both numbers and letters, making links to their meaning in human language. Then, it also learns to duplicate them on cue.
By further assessing the similarities between the manner neural networks and real human brains are functioning, understandings into how dyslexia is detected, or probably even correct, this condition, later on, could be forthcoming.
Technology for Dyslexia Treatment
Learners can skip, pause, and change the speed of lessons anytime they prefer. This makes the guided process of learning more controllable and customized to their particular wants and needs.
Additionally, the app utilizes AI algorithms to help improve the learning process to match a particular learner's abilities and progress.
Specifically, text to speech apps has existed as well, for several years now. Other apps help individuals who have sound literacy, like the Sound Literacy App, for one.
Nessy, another app, is available to help any individual of abilities to read, spell, and write. It comes with a special training program called Dyslexia PD, designed for tutors and teachers to help students with dyslexia take the lessons' best advantages.
When it comes to machine learning, it remains unclear how this technology can help those with dyslexia.
The innovative approach and neural network technologies are currently being used to diagnose dyslexia rather than offering a means of support.
Nevertheless, technology like the earlier-mentioned apps is likely to become vigorous and sophisticated in the years yet to come.
While it may seem impossible to cure the condition, technology could absolutely help people with dyslexia surpass the serious problems dyslexia puts them through as they learn reading, writing, and spelling.
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