Search results
Results from the WOW.Com Content Network
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 champions envision a future where machine learning and artificial intelligence might be applied in writing, personalization, feedback or course development. The growing popularity of AI, is especially apparent to many who have invested in higher education in the past decade. [ 19 ]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
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.
AI tools like ChatGPT have shown promise in enhancing literacy skills among adolescents and adults. They provide instant feedback on writing, aid in idea generation, and help improve grammar and vocabulary. [15] These tools can also support students with disabilities, such as dyslexia, by assisting with spelling and grammar.
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]
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual orientation, or disability).