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An Assessment Model for Large Project Courses
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
2014 (English)In: Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE), Association for Computing Machinery (ACM), 2014Conference paper, Published paper (Refereed)
Abstract [en]

Larger project courses, such as capstone projects, are essential in a modern computing curriculum. Assessing such projects is, how- ever, extremely challenging. There are various aspects and trade-offs of assessments that can affect the quality of a project course. Individual assessments can give fair grading of individuals, but may loose focus of the project as a group activity. Extensive teacher involvement is necessary for objective assessment, but may affect the way students are working. Continuous feedback to students can enhance learning, but may be hard to combine with fair assessment. Most previous work is focusing on some specific assessment aspect, whereas we in this paper present an assessment model that consists of a collection of assessment activities, each covering different aspects. We have applied, developed, and improved these activities during a six-year period and evaluated their usefulness by performing a questionnaire-based survey.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2014.
Keyword [en]
Project Courses; Assessment; Software Engineering
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:liu:diva-103001DOI: 10.1145/2538862.2538947Scopus ID: 2-s2.0-84899725619ISBN: 978-1-4503-2605-6 (print)OAI: oai:DiVA.org:liu-103001DiVA: diva2:698490
Conference
45th ACM Technical Symposium on Computer Science Education (SIGCSE 2014), Atlanta, GA, USA, March 5-8, 2014
Available from: 2014-02-22 Created: 2014-01-09 Last updated: 2015-04-02Bibliographically approved

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