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The AI in education community has grown rapidly in the global north. [19] Currently, there is much hype from venture capital, big tech and convinced open educationalists. AI in education is a contested terrain. Some educationalists believe that AI will remove the obstacle of "access to expertise". [20]
The evolution of AI in education and technology should be used to improve human capabilities in relationships where they do not replace humans. UNESCO recognizes the future of AI in education as an instrument to reach Sustainable Development Goal 4, called "Inclusive and Equitable Quality Education.” [57]
AI tools like GitHub Copilot, similar to ChatGPT, have significantly impacted programming by enhancing productivity and influencing developers' perceptions of AI in technical fields. [17] The education technology company Chegg, which was a website dedicated to helping students with assignments using a database of collected worksheets and ...
The AI boom [1] [2] is an ongoing period of rapid progress in the field of artificial intelligence (AI) that started in the late 2010s before gaining international prominence in the early 2020s. Examples include large language models and generative AI applications developed by OpenAI as well as protein folding prediction led by Google DeepMind .
There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS.
AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]
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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]