Repository logo
 

Development of large scale STEM problem databases for student learning and assessment tools

Simple item page
dc.contributor.authorLorimer, Shelley
dc.contributor.authorDavis, Jeffrey A.
dc.date.accessioned2022-10-28T15:25:12Z
dc.date.available2022-10-28T15:25:12Z
dc.date.issued2021
dc.descriptionPresented on June 21-23, 2021, at the "Canadian Engineering Education Association (CEEA-ACEG) Conference" held at the University of Prince Edward Island in Charlottetown, Prince Edward Island.
dc.description.abstractProblem databases in STEM courses are used in tools for the development of student learning and final assessment. In addition, large problem databases are used to develop models for automatic assessment and feedback of students’ work. However, the availability of large, open source, problem databases for specific courses is limited, and in-house development of a wide variety of problems can take years. In this paper, the framework for a problem database in STEM courses was created using semantic analysis of sentence structure and composition. Problem statements were analyzed to determine the key grammatical constructs that are used in commonly posed problems. Based on this analysis, software was developed to create large problem databases which allow for simple extension to other courses. Using a first-year mechanics course this software was populated with a few generalized questions and sentence structures to create a large problem database.
dc.identifier.citationDavis, J.A, & Lorimer, S.A. (2021) Development of large scale STEM problem databases for student learning and assessment tools. Proceedings of the Canadian Engineering Education Association (CEEA). https://doi.org/10.24908/pceea.vi0.14830
dc.identifier.doihttps://doi.org/10.24908/pceea.vi0.14830
dc.identifier.urihttps://hdl.handle.net/20.500.14078/2850
dc.language.isoen
dc.rightsAll Rights Reserved
dc.subjectlarge problem databases
dc.subjectproblem statements
dc.titleDevelopment of large scale STEM problem databases for student learning and assessment toolsen
dc.typePresentation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Development Of Large Scale Stem Davis Lorimer.pdf
Size:
201.74 KB
Format:
Adobe Portable Document Format
Download

Collections

Department of Mathematics and Statistics