2025 AIChE Annual Meeting

(519a) Faculty Perspective on Using Myopenmath for Automated Grading

Authors

Priscilla Hill - Presenter, Mississippi State University
Bill B. Elmore, Mississippi State University
Larry Pearson, Mississippi State University
The benefits of automated grading is recognized by many engineering educators [1, 2]. The benefits for faculty include reduced time grading, which is particularly helpful for large classes, the ability to personalize the questions by giving different students different parameter values, and the ability to change the questions or question parameters each semester. The benefits for students include instant feedback, and can include multiple attempts on the homework which provide the students with more practice. Many existing automated grading systems are associated with particular textbooks. For faculty who want to use automated grading but have a textbook that does not have an associated automatic grading system, there are other options. In this talk we discuss myOpenMath (MOM), an automated grading system developed for mathematics that integrates with common learning management systems such as Blackboard and Canvas [3]. We present how this tool is implemented in multiple undergraduate courses as well as key features and benefits of using MOM. Portions of this talk were previously presented [4].

[1] Liberatore, M. W. (2011). Improved student achievement using personalized online homework for a course in material and energy balances. Chemical Engineering Education, 45(3), 184-190.

[2] Liberatore, M. W., Davidson, M., & Chapman, K. (2020, June). Quantifying success and attempts on auto-graded homework when using an interactive textbook. In 2020 ASEE Virtual Annual Conference Content Access. https://peer.asee.org/35116. Last accessed: 03 April 2025.

[3] Lippman, D. myOpenMath. https://www.myopenmath.com/ Last accessed: 2 April 2025.

[4] Hill, P. J., & Elmore, B. B. (2025, March), Implementation of MyOpenMath in Chemical Engineering Instruction. 2025 ASEE Southeast Conference, Mississippi State University, Mississippi. https://peer.asee.org/54177. Last accessed: 03 April 2025.