Bottlenecks such as the latency in correcting assignments and providing a grade for Massive Open Online Courses (MOOCs) could impact the levels of interest among learners. In this proposal for an auto-grading system, we present a method to simplify grading for an online course that focuses on 3D Modeling, thus addressing a critical component of the MOOC ecosystem that affects. Our approach involves a live auto-grader that is capable of attaching descriptive labels to assignments which will be deployed for evaluating submissions. This paper presents a brief overview of this auto-grading system and the reasoning behind its inception. Preliminary internal tests show that our system presents results comparable to human graders.
@article{arxiv.1812.00110,
title = {Auto-Grading for 3D Modeling Assignments in MOOCs},
author = {Swapneel Mehta and Chirag Raman and Nitin Ayer and Sameer Sahasrabudhe},
journal= {arXiv preprint arXiv:1812.00110},
year = {2018}
}