This session will begin with an overview and discussion of the meaning of fairness in AI within the learning sciences context. Some key ideas will include: (1) train models in an equitable way; (2) choosing applications to build; (3) considerations for ensuring that the tools that you are creating and want to create are accessible.
Category Archives: CIRCLS’21: Expertise Connections
Learning Analytics and Data Visualization: Broadening our View
The production and application of learning analytics have extensive implications for education choices both now and in the future. While learning analytics can be used in many ways to improve learning, we must be aware of the more subtle consequences of its use in order to ensure that they are oriented toward the most positive […]
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