Machine Learning Implementation in Education Technology Public
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The goal of this project is to use machine learning to provide constructive feedback for student open responses. We are working with the ASSISTments team and their platform to help teachers give more helpful and timely feedback to their students. Using a dataset of open responses and corresponding grades, we were able to use machine learning to develop a model that can give what the most likely grade for an essay might be. Our model gives three suggestions for a given student response, and the teacher can pick the most appropriate one. We will further develop this using user testing with teachers that want to try out new features in ASSISTments.
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