Evaluating the teaching effectiveness of various data modeling notations
Article
Pons, AP, Polak, P, Stutz, J. (2005). Evaluating the teaching effectiveness of various data modeling notations
. JOURNAL OF COMPUTER INFORMATION SYSTEMS, 46(2), 78-84.
Pons, AP, Polak, P, Stutz, J. (2005). Evaluating the teaching effectiveness of various data modeling notations
. JOURNAL OF COMPUTER INFORMATION SYSTEMS, 46(2), 78-84.
The technique known as Entity-Relationship modeling utilizes a plethora of notational forms present in many academic texts, journals, and CASE tools. These notations contain an underlying commonality, but differ in their salient features, distinguishing their representation of many cross-sectional equivalent markings. In this paper, we evaluated non-database students on their semantic assimilation of the most common notational models (Chen, Bachman, Martin, and Information Engineering). We investigated the differences in student understanding of ER diagrams, entities, and relationships given the four notations. The results showed that there are no statistically significant differences among Chen, Bachman, Martin, and IE notations with the exception of understanding of relationship-oriented concepts where the latter seems to be inferior to the rest. This difference could be attributed to the fact that the notation seemed to be slightly less comprehensible than the others.
