Faculty members either grade entirely by hand or make limited use of technology that they’ve cobbled together themselves through experience.
Goals and Objectives
Create a consistent grading platform that improves efficiency of the grading process, including use of semiautomated processes, allows collaborative grading with teaching assistants, and provides a digitized grading workflow for both digital and paper student work products.
IaaS, learning management systems, AI
Use Case Summary
Faculty and teaching assistants have at their disposal an integrated grading platform enabling collaborative grading, as well as automation of grading where appropriate. AI-infused software can point to key concepts being mentioned by students, as well as patterns in the grading process to alert on possible biases.