Asee peer logo

Exploiting a Grading Option to Measure Mathematics Confidence of Engineering Students

Download Paper |

Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Mathematics Division (MATH) Technical Session 2

Tagged Division

Mathematics Division (MATH)

Tagged Topic

Diversity

Page Count

14

DOI

10.18260/1-2--43578

Permanent URL

https://strategy.asee.org/43578

Download Count

148

Request a correction

Paper Authors

biography

Gianluca Guadagni University of Virginia

visit author page

PhD in Mathematics

Associate Professor, School of Data Science, University of Virginia.

visit author page

biography

Deepyaman Maiti University of Virginia

visit author page

Deepyaman Maiti is currently an Assistant Professor in the Department of Engineering and Society in the School of Engineering and Applied Science at the University of Virginia. He teaches Introduction to Engineering and Applied Mathematics classes, and se

visit author page

author page

Farzad Shafiei Dizaji

Download Paper |

Abstract

In an earlier (separate) study (work in progress), we investigated the impact of the COVID-19 pandemic on Applied Mathematics (APMA) courses in the Engineering School at our institution. An IRB approved survey was completed by students who took at least one course in APMA during Spring 2020, Fall 2020, and Spring 2021. It was shown that students chose CR/GC/NC (credit or no-credit option as opposed to a conventional letter grade), which was offered at our institution during those semesters, more frequently for APMA courses than for Major related courses. Our hypothesis is that students were not confident in performing well in their APMA course(s) and, therefore, didn’t want to harm their GPA. We also found it plausible that they would rather spend more time studying for their major courses. Now we are extending our analysis with data received from the undergraduate registrar office regarding the students who have completed the survey. We have access to their grades, GPA, major, and demographics. Our goal is to identify patterns and correlations between data we received from the undergraduate registrar office and the survey we conducted on the same engineering school students months ago. In order to do so, we will aggregate data from the two sources (survey and registrar office), and match school records with the survey of each student participating. We will use unsupervised statistical methods to identify patterns in students' grading choices. We expect to be able to identify students with low math confidence (i.e. selecting credit no-credit option even when they would have got a good letter grade) so that the School can design remedial strategies to increase these students’ confidence and performance. In addition, we plan to analyze corresponding data available from similar programs/options at other institutions to find out any significant or relevant pattern. Finally, in Fall 2022, our Institution is offering, due to an exceptional issue, the option CR/GC/NC once again. This time students will be able to decide whether to select the CR/GC/NC option AFTER they receive the final grade. We expect that only those who really need the CR/GC/NC option will select it, and we can compare Fall 2022 selections with the choices made in other semesters, when students had to select the option before the end of the term. This will give a clear outlook on students’ perception of APMA courses and we plan to use it for a supervised statistical analysis.

Guadagni, G., & Maiti, D., & Shafiei Dizaji, F. (2023, June), Exploiting a Grading Option to Measure Mathematics Confidence of Engineering Students Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43578

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2023 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015