AIED—Coming of Age?
W. Holmes · International Journal of Artificial Intelligence in Education · 2023
and Colin Carmon (Doctoral Student in the Department of Psychology and the Institute for Intelligent Systems at the University of Memphis), begin with two important statements.First, AIED systems do help students learn; and second, research on AIED systems follows ethical guidelines.Now, they contend, it is essential to scale up AIED -to meet the needs of diverse populations, while challenging the many public misconceptions and the ethical uncertainties in AIED corporations.Rene Kizilcec (Assistant Professor of Information Science at Cornell University) calls for more research of AIED from a social-psychological perspective.While most AIED research has focused on technological improvements, such as creating more accurate algorithms, he argues that it is also important to understand what factors shape the way educators perceive, trust, and use AIED in their teaching practice.Ken Koedinger (Hillman Professor of Computer Science in the Human-Computer Interaction Institute at Carnegie Mellon University) acknowledges the two sides of each issue raised in the provocation.For example, he notes, while continuous monitoring can facilitate dynamic assessment which has been shown to be more accurate than standardised testing, it might also be thought of as surveillance, being constantly observed by an unseen authority.This type of tension needs to be addressed by the AIED community.