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Course Learning Evaluation in MET Using MATLAB GUIs for Low-stake Assignment Feedback of Graphical Solutions

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

MET and Mechatronics

Tagged Division

Engineering Technology

Page Count

13

Permanent URL

https://peer.asee.org/30229

Download Count

46

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Paper Authors

biography

M. Austin Creasy Purdue Polytechnic Institute

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Assistant Professor
Mechanical Engineering Technology
Purdue University

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Abstract

This paper describes the evaluation of learning that occurred in a mechanical engineering technology (MET) course when part of the learning process was implemented with MATLAB graphical user interfaces (GUIs). A strength of materials (SoM) course was used to implement the GUI tool for two SoM class offerings in different semesters. The learning of those two courses were compared to a SoM class offering that did not include the use of GUIs in any part of the course. The GUIs were used to provide try-again feedback on students’ graphical low-stake assignment (i.e. homework) sketches of shear and moment diagrams. The GUIs provided numerical codes for correct answers that the students submitted to the learning management system (LMS) of the course to record and provide assignment credit. Individual GUIs with unique numerical codes were supplied to each student for two sketches in order to measure the amount of answer sharing within a class and between semesters. The results show that students that used shared answers received statistically significant lower average class scores. The results also show that the GUIs did not affect the students learning in sketching shear and moment diagrams, but the results provided the instructor with data about which students shared solutions, which students used shared answers, and that no answer sharing occurred between the courses of different semesters.

Creasy, M. A. (2018, June), Course Learning Evaluation in MET Using MATLAB GUIs for Low-stake Assignment Feedback of Graphical Solutions Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30229

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