Upcoming Events

LAK ’21 Workshop

The LALN lead team will host an event at (online) 11th International Learning Analytics and Knowledge (LAK ’21) conference. If you are interested in participating in this session, you can find out more information here: https://learninganalytics.net/laln/lak21-workshop/ and https://www.solaresearch.org/events/lak/lak21/pre-conference-schedule/

Algorithmic Bias in Education

In this session, we review algorithmic bias in education, discussing the causes of that bias and reviewing the empirical literature on the specific ways that algorithmic bias is known to have manifested in education. While other recent work has reviewed mathematical definitions of fairness and expanded algorithmic approaches to reducing bias, we will instead focus on the current evidence for the concrete impacts of algorithmic bias in education— which groups are known to be impacted and which stages and agents in the development and deployment of educational algorithms are implicated. Specifically, we will review the evidence around algorithmic bias in education, beginning with the most heavily-studied categories of race/ethnicity, gender, and nationality, and moving to the available evidence of bias for less-studied categories, such as socioeconomic status and disability status. Acknowledging the gaps in what has been studied, we will propose a framework for moving from unknown bias to known bias and from fairness to equity. We will discuss obstacles to addressing these challenges and propose four areas of effort for mitigating and resolving the problems of algorithmic bias in educational technology.

Organizers: Ryan S. Baker and M. Aaron Hawn. University of Pennsylvania

Target audience: Anyone

Target level: Introductory

Delivery date and time: 26 April 2021, 4:30pm US ET/3:30pm US CT

Registration: https://www.eventbrite.com/e/algorithmic-bias-in-education-tickets-148852167841

Learning and Evidence Analytics Framework (LEAF): Design and Large-scale Implementation of LA Driven Infrastructure in the Japanese Context

Session description coming soon!

Organizers: Kyoto University

Delivery date and time: TBD in May

Registration: Coming soon!