Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI applications can be used to support the work of K–12 teachers and the practice of teaching by augmenting teacher capacity rather than replacing teachers. Three promising applications are intelligent tutoring systems, automated essay scoring, and early warning systems. The author also discusses some of the key technical challenges that need to be addressed in order to realize the full potential of AI applications for educational purposes. The paper should be of interest to education journalists, publishers, product developers, researchers, and district and school administrators.
Murphy, Robert F., Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks. Santa Monica, CA: RAND Corporation, 2019. https://www.rand.org/pubs/perspectives/PE315.html.
Murphy, Robert F., Artificial Intelligence Applications to Support K–12 Teachers and Teaching: A Review of Promising Applications, Challenges, and Risks, Santa Monica, Calif.: RAND Corporation, PE-315-RC, 2019. As of November 16, 2021: https://www.rand.org/pubs/perspectives/PE315.html