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Measuring Model-Based Learning of Complex Systems with Multiple Data Streams

Description:

The dissertation builds on my current research to demonstrate the connection between affect and learning through machine learning and qualitative analysis of interactions where players use a complex systems game. The project is threefold: First, I developed a thinking and learning intervention, the agent-based modeling simulation Ant Adaptation. I showed...

Keyword:

Informal Learning, Agent-Based Modeling, Affective Computing, Cognitive Science, Complexity, and Ants

Subject:

Entomology, Education, and Computer science

Creator:

Martin, Kit

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15829 and etdadmin_upload_857063