Growing grade-by-grade

Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

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The enrollment of computer science students continues to increase, with record enrollment numbers in the course ”Data Structures and Algorithms” in fall 2022. As a result, teaching methods and systems must evolve to support student progress in the face of scarce teaching resources. This paper examines the shift from manual to peer-reviewed and auto-graded grading processes and investigates students’ perceptions of different grading styles. The developed automatic graders utilize data from both the Plussa LMS and GitLab, which serves as the channel for student submissions and provides feedback for formative assessments. The results indicate that peer-reviews are accepted as an exercise for the reviewer, but not as a means to grade the reviewee. Autograders are well-received due to their instant feedback, ability to allow for multiple submissions and iterate towards more efficient solutions, which helps foster a growth mindset.
OtsikkoProceedings of the 15th International Conference on Computer Supported Education
AlaotsikkoVolume 1, CSEDU 2023
ToimittajatJelena Jovanović, Irene-Angelica Chounta, James Uhomoibhi, Bruce M. McLaren
KustantajaScience and Technology Publications (SciTePress)
ISBN (painettu)978-989-758-641-5
DOI - pysyväislinkit
TilaJulkaistu - 2023
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Computer Supported Education, CSEDU - Prague, Tshekki
Kesto: 21 huhtik. 202323 huhtik. 2023


NimiInternational Conference on Computer Supported Education, CSEDU - Proceedings
ISSN (elektroninen)2184-5026


ConferenceInternational Conference on Computer Supported Education, CSEDU


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