Addressing Bias in Human Cognition and Computer Systems: When the Information Age Meets a Global Pandemic
Ming Lei, Ian M. Clemente, Michigan State University, United States
Innovate Learning Summit 2020, Publisher: Association for the Advancement of Computing in Education (AACE)
This paper provides an introduction to biases in human cognition and computer systems, their implications for online teaching during the COVID-19 pandemic, and recommended practices for managing the unintended impact of these biases. Teaching and learning online during the current information age, an age that is focused on the exchange of information and the reliance on information technologies, is nothing new. However, one of the consequences of the COVID-19 pandemic has been a large transition of students and instructors by necessity into online learning spaces, many of whom are not familiar with the use of technological mediation for educational purposes. As such, we believe it is valuable to provide an introduction into the nature and function of cognitive bias, as well as how such bias is present and reified in computer-based systems (e.g., search engines). We also present an interactive and collaborative workshop that can be used by educators and other professionals in K-12 and higher education to learn about biases, reflect on their impact, and create strategies to minimize their effects within their respective teaching practices (including incorporation of cognitive flexibility-centered Web searching).
Lei, M. & Clemente, I.M. (2020). Addressing Bias in Human Cognition and Computer Systems: When the Information Age Meets a Global Pandemic. In T. Bastiaens & G. Marks (Eds.), Proceedings of Innovate Learning Summit 2020 (pp. 471-477). Association for the Advancement of Computing in Education (AACE).
© 2020 Association for the Advancement of Computing in Education (AACE)