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Artificial intelligence holds the promise of helping countless other students with a range of visual, speech, language and hearing impairments to execute tasks that come easily to others. Schools everywhere have been wrestling with how and where to incorporate AI, but many are fast-tracking applications for students with disabilities.
AI companies that focus on education, are currently preoccupied with generative artificial intelligence (GAI), although data science and data analytics is another popular educational theme. At present, there is little scientific consensus on what AI is or how to classify and sub-categorize AI [ 24 ] [ 25 ] This has not hampered the growth of AI ...
Sep. 16—An 18-month study on the potential effectiveness of an artificial intelligence (AI) tool in the detection of cognitive impairment demonstrated the effectiveness of AI tools in detecting ...
Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.
There are a variety of disabilities affecting cognitive ability.This is a broad concept encompassing various intellectual or cognitive deficits, including intellectual disability (formerly called mental retardation), deficits too mild to properly qualify as intellectual disability, various specific conditions (such as specific learning disability), and problems acquired later in life through ...
The authors hope their work will help developers better understand how artificial intelligence can affect people in the real world. Artificial intelligence (AI)… Common AI language models show ...
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]
Lack of data: There is a lack of data available to train AI systems, which limits their ability to accurately identify patterns in mental health conditions and predict outcomes. [23] Bias: AI systems can be biased if the data used to train them is biased. This can lead to inaccurate predictions and unfair treatment of certain groups of people. [24]