Kirstukas, S. (2022, August), Reinforcing Design Intent with a Computer Grading Program  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/40644

\bibitem{asee_peer_40644}
  Kirstukas, S. (2022, August), \emph{Reinforcing Design Intent with a Computer Grading Program}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  https://peer.asee.org/40644

Steven Kirstukas.  "Reinforcing Design Intent with a Computer Grading Program".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/40644 Internet.  04 Dec, 2022

\bibitem{asee_peer_40644}
  Steven Kirstukas.
  "Reinforcing Design Intent with a Computer Grading Program".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/40644 Internet.  04 Dec, 2022

@INPROCEEDINGS{asee_peer_40644
author = "Steven Kirstukas"
title = "Reinforcing Design Intent with a Computer Grading Program"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/40644}
}

TY  - CPAPER
AB  - There are numerous acceptable ways to create a solid model, but all good models share the same characteristics — good solid models incorporate the design intent that was expressed in the original layout drawing. The result is a robust, changeable model that behaves as the user expects: if any dimensional values are altered, the model changes appropriately, without breaking or losing features.

Of the many advantages promoted by creators of computer-based grading programs, one feature that most benefits students is the ability to get feedback quickly. For the last several years, students have been permitted to upload some homework files before the assignment deadline. These submittals were graded by a computer program and detailed feedback was provided to the students. Students were permitted to revise and resubmit CAD files multiple times up until the hard deadline. 

This resubmittal policy was used for three different homework assignments, comprising seven different models of increasing complexity, from 2D sketches to fairly complex 3D parts. Some students enthusiastically took advantage of this learning opportunity. As a result, their homework grades increased, and they became more aware of the instructor’s grading scheme and the importance of creating a solid model that honored design intent. This study examined the correlation between making heavier use of the multiple submission homework assignment policy and performance in the first exam which focused on modeling and in the modeling portion of the final exam.
AU  - Steven Kirstukas
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Reinforcing Design Intent with a Computer Grading Program
UR  - https://peer.asee.org/40644
ER  -