Student Work
Machine Learning Implementation in Education Technology
PubblicoThe 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.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-121519-154830
- Advisor
- Year
- 2019
- Date created
- 2019-12-15
- Resource type
- Major
- Rights statement
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- In Collection:
Articoli
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Zonglin_Peng_MQP_Report_Machine_Learning_Implementation_in_Education_Technology.pdf | Pubblico | Scaricare |
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