Leveraging Machine Learning to Classify Student Thinking
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Machine Learning classification models can be used to algorithmically extend the qualitative coding mathematics education researchers commonly complete. This methodological poster provides a systematic way to conceptualize the qualitative coding process to leverage machine learning. We also provide an example of how feature analysis, a critical human component to developing a machine learning algorithm to classify data, can be completed with qualitative mathematics data. The poster will also include a brief discussion on the benefits and limitations of integrating machine learning into mathematics education research.