D2L Instructor Data Cleaning API
Project description
This repository has been created as a part of CMSE495: Experiential Learning in Data Science at Michigan Sate University. This course is the capstone for the data science major and provides the opportunity for students to work in teams on a sponsored project as a culmination of the skills they have learned.
The sponsor for the D2L Instructor API project is Michigan State University. The goal of this project is to build a data analysis API for the learning management system to provide more intuitive, insightful, and accesible student performance data to researchers and instructors.
Here is a link to our proposal presentation video for more information about our project! https://mediaspace.msu.edu/media/MSUD2LInstructorAPI-CMSE495_Proposal_Presentation_Video/1_8nkuh5ul
Here is a link to our closed loop presentation video for more information about our project! https://mediaspace.msu.edu/media/MSUD2LInstructorAPI-CMSE495_Closed-Loop_Presentation_Video/1_lirffq9v
Group Members: Olivia Sheng Qiu <qiuolivi@msu.edu> Pranay Rahul Pentaparthy <pentapar@msu.edu> Erin Elizabeth Sawyer <sawyerer@msu.edu> Jonah Masaki Wehner <wehnerjo@msu.edu> Jiaye Xie <xiejiaye@msu.edu>
Go to the INSTALL.md for further instructions for the API.
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