An architecture for systematic tracking of skills and competence level progression in computer science
- Global Science & Technology Forum (GSTF)
- Publication Type:
- Conference Proceeding
- Proceedings of the 2nd Annual International Conferences on Computer Science Education: Innovation and Technology (CSEIT 2011) And Software Engineering & Applications (SEA 2011), 2011, pp. 65 - 69
- Issue Date:
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A typical Computer Science degree is three to five years long, consists of four to six subjects per semester, and two semesters per year. A student enrolled in such a degree is expected to learn both discipline-specific skills and transferable generic skills. These skills are to be taught in a progressive sequence through the duration of the degree. As the student progresses through the subjects and semesters of a degree, his skill portfolio and competence level for each skill is expected to grow. Effectively modeling these curriculum skills, mapping them to assessment tasks across subjects of a degree, and measuring the progression in learner competence level is, largely, still an unsolved problem. Previous work at this scale is limited. This systematic tracking of skills and competence is crucial for effective quality control and optimization of degree structures. Our main contribution is an architecture for a curriculum information management system to facilitate this systematic tracking of skill and competence level progression in a Computer Science context.
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