Leveraging Open Source Principles For Flexible Concept Inventory Development
Document Type
Conference Proceeding
Publication Date
2014
Published In
Proceedings Of The 2014 Conference On Innovation And Technology In Computer Science Education
Abstract
Concept Inventory (CI) assessments, which target high-level learning goals, have proven highly valuable for higher education research. These assessments have helped to evaluate pedagogical practices among individual instructors, both within and across institutions, and have hence elevated the level of discourse on education within the community. The success of CIs in physics has inspired similar developments in computer science, with a few CIs now developed for computer science courses. However, the development of a CI typically follows a burdensome process, requiring a significant investment to produce a single CI that may be difficult to deploy due to institutional curricular differences. Furthermore, as our field continues to be shaped by technological advances, a path to faster, more modular CI development is critical. This paper proposes an alternative CI development model and continues the discussion within the community about the need for, and path to, concept inventories throughout the computer science curriculum. Specifically, we explore the implications of an open collaboration system for CI development that would mimic the principles common to open source software communities, which have regularly demonstrated their ability to produce high-quality results.
Keywords
concept inventory, assessment, community discussion
Published By
ACM
Conference
19th Annual Conference On Innovation And Technology In Computer Science Education
Conference Dates
June 21-25, 2014
Conference Location
Uppsala, Sweden
Recommended Citation
L. Porter, C. Taylor, and Kevin Webb.
(2014).
"Leveraging Open Source Principles For Flexible Concept Inventory Development".
Proceedings Of The 2014 Conference On Innovation And Technology In Computer Science Education.
243-248.
DOI: 10.1145/2591708.2591722
https://works.swarthmore.edu/fac-comp-sci/55