Making Sense: Understanding the World With Data and AI

Catalog description

This course focuses on the bidirectional relationship of artificial intelligence (ai) and theories of learning. Data, combined with methods of ai, can help us make sense of the learning behaviors that emerge through data generated as teachers and students interact with educational technologies. Similarly, many advancements in ai have resulted from theories, models, and biology related to how humans learn. The usage of digital learning platforms, learner management systems, and other technologies is growing across educational settings. Combining ai with the quality data that has been produced by using these tools can improve both teacher instruction as well as learner experiences. This data can help understand the processes of learning beyond other assessment measures like correctness and be used to inform the development of better technologies and instructional content. Like any system designed for human interaction, the data collected by these systems can be messy, incomplete, and gen.