Abstract
The success of industry-based projects (capstone projects) used in computing course depends on a number of factors. These are: i) characteristics of the information system and the client perception, ii) individual student and group characteristics, iii) development methodology used, and iv) the support and supervision provided. Generally academics use a 'trial-by-error' approach in striking the right balance between these factors for the success of capstone projects. As oppose to this approach, here we lay the foundation for a criteria-based allocation of projects, with the objective of enhancing student leaning experience. As the first step, this paper analyzes the correlation of two dimensions: a) the complexity level of the IS (one dimension of characteristics of the IS) and b) group mean Grade Point Average-GPA (one dimension of characteristics of the student group); and the success of a project. Data collected from 32 projects is presented and analyzed here in exploring the above-mentioned correlation.
Original language | English |
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Title of host publication | Proceedings of the International Conference on Computer Science and Software Engineering Conference, held in Wuhan, China, 12-14 December, 2008 |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Print) | 9780769533360 |
Publication status | Published - 2008 |
Event | International Conference on Computer Science and Software Engineering - Duration: 1 Jan 2008 → … |
Conference
Conference | International Conference on Computer Science and Software Engineering |
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Period | 1/01/08 → … |
Keywords
- Western Sydney University
- study and teaching (higher)
- business and education
- learning, experiential
- capstone projects
- computers