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Artificial intelligence in education

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**Who / What**

Artificial intelligence in education (AIEd) is a subfield of educational technology that studies how to use artificial intelligence, such as generative AI chatbots, to create learning environments. It focuses on how AI tools can be applied to support and enhance teaching and learning processes.


**Background & History**

AI in education has evolved from early computer-assisted instruction to today's sophisticated, data-driven systems. It leverages technologies like natural language processing and machine learning to provide personalized learning experiences. Key milestones include the development of intelligent tutoring systems and, more recently, the integration of generative AI into educational software.


**Why Notable**

AIEd is significant for its potential to revolutionize personalized learning and improve educational outcomes at scale. Key considerations within the field include data-driven decision-making, AI ethics, data privacy, and AI literacy. The field grapples with important concerns such as the potential for cheating, over-reliance on technology, equity of access, reduced critical thinking, and the perpetuation of misinformation and bias.


**Key Facts**

  • **Type:** Subfield of educational technology
  • **Also known as:** AIEd
  • **Founded:** Emerged as a distinct field of study in the late 20th century
  • **Key Dates:** Development of intelligent tutoring systems (1970s-1980s), rise of adaptive learning platforms (2000s-2010s), integration of generative AI (2020s-present)
  • **Affiliation:** Computer science, education, instructional design

  • **Links**

  • [Wikipedia](https://en.wikipedia.org/wiki/Artificial_intelligence_in_education)
  • Sources

    📌 Topics

    • Technology Adoption (1)
    • Generational Trends (1)
    • Digital Ethics (1)
    • Education Policy (1)
    • Technology Ethics (1)
    • Academic Research (1)
    • AI Education (1)
    • Academic Innovation (1)

    🏷️ Keywords

    AI in education (3) · Generation Z (1) · artificial intelligence (1) · Gallup poll (1) · technology disillusionment (1) · digital natives (1) · workplace technology (1) · sentiment analysis (1) · moratorium (1) · independent research (1) · educational technology (1) · ethics (1) · K-12 (1) · higher education (1) · policy (1) · Columbia University (1) · critical thinking (1) · AI writing course (1) · student perspective (1) · academic technology (1)

    📖 Key Information

    Artificial intelligence in education (often abbreviated as AIEd) is a subfield of educational technology that studies how to use artificial intelligence, such as generative AI chatbots, to create learning environments. Considerations in the field include data-driven decision-making, AI ethics, data privacy and AI literacy. Concerns include the potential for cheating, over-reliance, equity of access, reduced critical thinking, and the perpetuation of misinformation and bias.

    📰 Related News (4)

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