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Improved Programming Assignment Assessment with Grading Rubrics
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Oral assessment of lab assignments is a strong tradition in computer science courses at KTH and many other universities. The task of correctly assessing the students’ work tends to fall upon a teaching assistant (TA) who needs to be able to tell whether or not they actually understand the concepts covered by the lab. Previous research indicates that there is a large degree of uncertainty among TAs when performing this assessment, which can lead to unfair grades and uncomfortable situations for both TAs and students. This thesis presents an attempt to improve the situation through the creation of grading rubrics tailor made for three individual labs in computer science courses at KTH to be used during oral assessment. The grading rubrics created were preferred by the majority of TAs who partook in the study and seemed, as seen from their perspective, to improve fairness in assessment.

Abstract [sv]

Muntliga redovisningar av laborationer i programmering och datalogi är en stark tradition på KTH och många andra universitet, där det faller på en labbassistent att bedöma studenternas arbete och avgöra om de har förstått de koncept som laborationen ämnar förmedla. Tidigare forskning har visat att assistenterna ofta är osäkra på hur de ska göra sina bedömningar vilket kan leda till orättvisa betyg och besvärliga situationer för både assistenter och studenter. Denna rapport förmedlar försöket att skapa bedömningsmallar skräddarsydda för tre laborationer i programmering och datalogi på KTH för att användas vid själva redovisningen. Bedömningsmallarna föredrogs av majoriteten av de tillfrågade labbassistenterna och ansågs av dem göra redovisningarna mer rättvisa.

Place, publisher, year, edition, pages
2019. , p. 48
Series
TRITA-EECS-EX ; 2019:333
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-254978OAI: oai:DiVA.org:kth-254978DiVA, id: diva2:1337083
Supervisors
Examiners
Available from: 2019-07-11 Created: 2019-07-11 Last updated: 2019-08-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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More languages
Output format
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