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Artificial intelligence in education

  • 14 min read
  • 8 chapters

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Through Artificial intelligence, Ethics of artificial intelligence and Information privacy

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.

History

Efforts to integrate AI into educational contexts have often followed technological advancement in the history of artificial intelligence.

In the 1960s, educators and researchers began developing computer-based instruction systems, such as PLATO, developed by the University of Illinois.

In the 1970s, AI techniques were added to computer-assisted instruction (CAI) to form intelligent tutoring systems. The LISP Tutor was evaluated in a Carnegie Mellon University mini-course in the fall of 1984.

The International Artificial Intelligence in Education (AIED) Society was founded in 1993, and comprised researchers with backgrounds in computer science, education, and psychology. The International AIED Society also produces the International Journal of Artificial Intelligence in Education (IJAIED).

Coinciding with the AI boom of the 2020s, the use of large language models (LLMs) in the global north has been promoted and funded by venture capital and big tech. Companies creating AI services have targeted students and educational institutions as customers. Similarly, pre-AI boom educational companies have expanded their use of AI technologies. These commercial incentives for AIEd use may be related to a potential AI bubble. In the U.S., bipartisan support of AI development in K-12 education has been expressed, but specific implementations and best practices remain contentious.

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