2026-07-24T11:53:53Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:24040 2025-12-12T14:58:37Z ddc:004 open_access

Standards-Based Grading in Undergraduate Courses for Technology Majors Lamprecht, Ruth McCurdy, Jonathan Butler, Melanie Heinold, Brian Salinas Duron, Daniel Alternative Grading Standards-Based Grading Computer Science This paper outlines the methods employed by several instructors within a single department to implement standards-based assessments. The authors began integrating standards across multiple courses in their computer science, cybersecurity, data science, and mathematics programs. This shift was driven by a desire to promote equity in grading and to address the growing influence of artificial intelligence, which can obscure a student’s true understanding. In this work, the authors examine the supporting research that guided their motivation and informed their implementation of various grading techniques. With an emphasis on courses involving technology, they also detail the processes they use to manage the new assessments, provide examples of assessment questions, and share key lessons learned in making this transition successful for both instructors and students. This work addresses a significant gap in the literature, as there appears to be a notable lack of resources on the application of standards-based grading in technical disciplines. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Ruth Lamprecht and Jonathan McCurdy and Melanie Butler and Brian Heinold and Daniel Salinas Duron 2025 Is Part Of OASIcs, Volume 133, 6th International Computer Programming Education Conference (ICPEC 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ICPEC.2025.10 urn:nbn:de:0030-drops-240408 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2025.10 eng https://creativecommons.org/licenses/by/4.0/legalcode