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  • Writer's pictureSuketu Patel

Automated grading of speech assessment for dyslexic students

Updated: 3 days ago



Every student learns in a different way. Some excel in absorbing information, while others might see letters dance across the page or struggle to decipher sounds within words. Dyslexia is one such example.

What is Dyslexia?

Dyslexia is a learning difference that can make it tricky to connect letters with sounds and vice versa. In an EdTech environment, this can mean students might struggle with reading text on screens. However, EdTech tools can help by letting them hear the text read aloud or using different fonts and colours to make reading easier.


Early identification of learning differences is crucial for a student's success. Traditional paper-based screening, while important, can be time-consuming for teachers in large classes. AI-powered speech analysis offers a promising solution. Imagine a system that listens to students and assists teachers in spotting difficulties. This frees up teachers' time to focus on targeted support for students like those with dyslexia.


But this raises few questions:

  • How to harness the power of AI for speech analysis?

  • How do we make an automated screener fun and engaging for students?

  • How does this all fit with existing education technology?


When we started on this problem we had these same questions, and here’s how we helped develop a fully automated dyslexia screener with a beautifully animated and engaging UI for students.


Let’s answer these questions


How to harness the power of AI for speech analysis?



You can leverage pre-built models from various providers like Azure Speech, Soapbox, SpeechAce, etc. These experts have already trained their models on massive datasets, giving you access to cutting-edge speech recognition technology. Many providers even offer customization options, letting you fine-tune the model for your specific needs. This saves you significant development time – it's like having a team of speech specialists trained and ready to analyze your students' speech patterns. Also, these providers often offer seamless integration through APIs and SDKs, making it easy to incorporate their powerful tools into your system.


How do we make an automated screener fun and engaging for students?



While AI analyses speech, teachers have their hands full keeping students motivated. To capture their attention, make the screener age-appropriate! Young children love bright colours, fun animations, and engaging characters. Think about gamifying the test! Think points, rewards, and interactive tasks – turning test time into playtime. An interactive test that guides them through tasks and provides positive reinforcement would be a hit!


How does this all fit with existing education technology?



It is also important for businesses to consider the existing educational technology landscape when developing educational tools. This automated screener is a prime example. By seamlessly integrating with Learning Management Systems (LMS) and adaptive learning platforms, the screener provides valuable data that can be used to personalise learning paths and improve student outcomes. Also makes it viable for existing schools and districts to adopt the screener without needing a complete overhaul of their current EdTech infrastructure.


Conclusion: 

By combining the power of AI and engaging design, this automated screener offers a valuable tool for early identification of dyslexia and other learning differences. It not only frees up teachers' time but also creates a positive experience for students. This is just one example of how AI can revolutionise education, making it more personalised, data-driven, and accessible for all.

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