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The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
QTI was produced by the IMS Global Learning Consortium (IMS GLC), which is an industry and academic consortium that develops specifications for interoperable learning technology. QTI was inspired by the need for interoperability in question design, and to avoid people losing or having to re-type questions when technology changes.
Intelligent personal assistants use AI to understand many natural language requests in other ways than rudimentary commands. Common examples are Apple's Siri, Amazon's Alexa, and a more recent AI, ChatGPT by OpenAI. [13] Bing Chat has used artificial intelligence as part of its search engine. [14]
Electronic assessment, also known as digital assessment, e-assessment, online assessment or computer-based assessment, is the use of information technology in assessment such as educational assessment, health assessment, psychiatric assessment, and psychological assessment.
This system uses Wikipedia as knowledge source. [2] The open source framework Haystack by deepset combines open-domain question answering with generative question answering and supports the domain adaptation [clarification needed] of the underlying [clarification needed] language models for industry use cases [vague]. [34] [35]
Brainly is an education company based in Kraków, Poland, with headquarters in New York City.It is an AI-powered homework help platform targeting students and parents. As of November 2020, Brainly reported having 15 million daily active users, making it the world's most popular education app. [2] In 2024, FlexOS reported Brainly as the #1 Generative AI Tool in the education category and the #6 ...
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Many framings leverage existing digital literacy frameworks and apply an AI lens to the skills and competencies. Common elements of these frameworks include: Know and understand: know the basic functions of AI and how to use AI applications [24] Use and apply: applying AI knowledge, concepts and applications in different scenarios [25]
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