A Comparison of Manual vs. Online Grading for Solid Models | Zendy

Holly K. Ault | Zendy; Alister Fraser | Zendy

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A Comparison of Manual vs. Online Grading for Solid Models

Author(s) -

Holly K. Ault,

Alister Fraser

Publication year - 2020

Publication title -

papers on engineering education repository (american society for engineering education)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--19045

Subject(s) - computer science , grading (engineering) , software , feature (linguistics) , task (project management) , certification , tree (set theory) , sketch , graphics , software engineering , artificial intelligence , machine learning , engineering drawing , data mining , information retrieval , programming language , computer graphics (images) , mathematical analysis , linguistics , philosophy , civil engineering , mathematics , management , algorithm , law , political science , engineering , economics

A comparison between automated and manual grading of selected part files using the PTC Precison LMS system is presented. A pilot study was conducted to create an automatically graded assessment for a single part file with moderate complexity. Part files created by students in an intermediate level solid modeling course were graded manually and with the automatic system. This paper compares the output from grading as well as the effort required to implement the automated grading procedure. Results indicate that automatic grading can be used to assess a wide variety of model features and evaluate both procedural and strategic knowledge in solid modeling applications.

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