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Artificial intelligence in education (aied) is a generic term, [4] and an interdisciplinary collection of fields which are bundled together, [5] inter alia anthropomorphism, generative artificial intelligence, data-driven decision-making, ai ethics, classroom surveillance, data-privacy and Ai Literacy. [6]
Despite the benefits, the integration of AI in education raises significant ethical and privacy concerns, particularly regarding the handling of sensitive student data. [ 57 ] It is imperative that AI systems in education are designed and operated with a strong emphasis on transparency, security, and respect for privacy to maintain trust and ...
AI tools like GitHub Copilot, similar to ChatGPT, have significantly impacted programming by enhancing productivity and influencing developers' perceptions of AI in technical fields. [15] The education technology company Chegg, which was a website dedicated to helping students with assignments using a database of collected worksheets and ...
AI literacy or artificial intelligence literacy, is the ability to understand, use, monitor, and critically reflect on AI applications. [1] The term usually refers to teaching skills and knowledge to the general public, particularly those who are not adept in AI. [1] AI literacy is essential for school and college students.
AI starts with a statement of purpose or object of inquiry and which then takes the inquirer through the five steps (known as the 5Ds of AI) and graphically illustrated as follows: [2] Refer the picture in [3] Appreciative Inquiry in the education sector can amplify the motivation of the students and help them become most alive and effective ...
Generative Artificial Intelligence (GenAI) emerged with the introduction of ChatGPT in November 2022. [156] This caused alarm among K-12 and higher education institutions, [157] with a few large school districts quickly banning GenAI, [158] due to concerns about potential academic misconduct. [159]
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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]