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arXiv · 1812.00110

Auto-Grading for 3D Modeling Assignments in MOOCs

Swapneel Mehta·Chirag Raman·Nitin Ayer·Sameer Sahasrabudhe
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Abstract

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.

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Swapneel Mehta, Chirag Raman, Nitin Ayer, Sameer Sahasrabudhe. 2018-12-01. Auto-Grading for 3D Modeling Assignments in MOOCs. https://doi.org/10.1109/icalt.2018.00012

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