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May 15, 2024 · Adaptive technologies like speech-to-text and text-to-speech encourage independent learning and interaction, providing students with disabilities greater autonomy. AI can provide educators with insights through data analysis, helping them understand each student’s unique learning patterns and needs.
Dec 25, 2017 · Using Plickers allows the teacher to perform a formative assessment and gather individual data to drive instruction without drawing specific attention to the student with disabilities when the student does not know the answers to the questions (Tolbert, 2017). During the question and answer responding sessions, the teacher can show the correct response and the group data without displaying ...
- Jamie Mahoney, Carol Hall
- 2017
- Accessibility in Testing
- Content Descriptions
- Webpage Interactions
- Challenges and Possibilities
Advanced speech synthesis technologies, which are based on machine learning models, are among the more promising applications of AI for students who rely on assistive technologies.Footnote2The quality of synthetic speech is becoming more natural and improving rapidly. For example, Educational Testing Service (ETS) used technologies from Amazon to r...
Turnaround time is significant when producing things like text descriptions or a complex set of test questions for students who are legally blind or have low vision. AI techniques could be used to automatically describe images. AI-based systems could also be used to do a "first pass" at describing content. Subject matter experts could then refine t...
AI-based tools can also be used to help with interactions by people who are unable to see content. Tools like Apple Siri and Amazon Echo and Alexa provide ways of interacting with content through a spoken dialogue model. But there are many ways for AI features to expand. A "seeing" AI, for example, could help students who find the contents of a web...
AI-based design and development is often driven by the needs and behaviors of the "average user," and from a user experience design perspective, people with disabilities typically fall outside of the usual experience. Automatic speech recognition (ASR) systems, for example, typically are optimized around common speech patterns, not around the speec...
Dec 1, 2022 · As the number of students identified with disabilities grows, schools moving towards inclusive classrooms are concerned with ensuring engagement of all students. Research has shown that digital technology provides support for students with disabilities so that they can participate in classroom activities.
Mar 5, 2024 · Assistive technology in K-12 education refers to the use of various tools, devices, software, and equipment to support students with disabilities in their learning process. These technologies enable students with diverse needs to participate more fully in educational activities, improve their academic performance, and enhance their overall educational experience. In…
skills to the task. Greater access to technological resources such as student information systems, instructional management systems, assessment systems, and diagnostic systems, can also help teachers meaningfully collect, analyse, and communicate data when the complexity becomes overwhelming [11]. Although DBDM is a process that can support
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Sep 10, 2024 · Ironically, students with disabilities—who stand to gain the most from emerging AI tools and resources—are often the most disadvantaged or least able to use them. Footnote 1 More concerning still is that few people in the disabled community have been asked to advise on the development of these products.
