Svetlana Peltsverger
ABSTRACT
This paper presents a program revision framework that examines every aspect of a degree program and uses an assessment process built on data analytics: a data-driven 360-Degree program review model. A data driven approach was used to collect qualitative and quantitative data to evaluate an existing program and the improved program after implementing changes.
- Peltsverger, S., Li, L., & Rutherfoord, R. (2017, September). The Evolution of the Master of Science in Information Technology Curriculum. In Proceedings of the 18th Annual Conference on Information Technology Education (pp. 179--179). ACM. Google Scholar
Digital Library
Index Terms
- Can We Be More Innovative with Program Revision?: Using a Data-Driven 360 Degree Program Review Model
Recommendations
Can we analyze big data inside a DBMS?
DOLAP '13: Proceedings of the sixteenth international workshop on Data warehousing and OLAPRelational DBMSs remain the main data management technology, despite the big data analytics and no-SQL waves. On the other hand, for data analytics in a broad sense, there are plenty of non-DBMS tools including statistical languages, matrix packages, ...
Parallel belief revision: Revising by sets of formulas
The area of belief revision studies how a rational agent may incorporate new information about a domain into its belief corpus. An agent is characterised by a belief state K, and receives a new item of information @a which is to be included among its ...
Belief revision, revised
IJCAI'95: Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2This paper studies properties of iterated revisions. First rationality result shows that in the AGM original framework the only revision operation that satisfies two resonable properties is the trivial revision. Then an altenative to the AGM framework ...
Comments