Auto-Grading for 3D Modeling Assignments in MOOCs
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 Mod...
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| Veröffentlicht in: | arXiv.org 2018-12 |
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| creator | Mehta, Swapneel Raman, Chirag Ayer, Nitin Sahasrabudhe, Sameer |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.1812.00110 |
| format | Article |
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| source | arXiv.org; Freely Accessible Journals at publisher websites |
| subjects | CAI Computer assisted instruction Computer Science - Computers and Society Computer Science - Graphics Critical components Distance learning Evaluation Grading Online instruction Three dimensional models |
| title | Auto-Grading for 3D Modeling Assignments in MOOCs |
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