Concept systematization with concept maps in data modelling

Abstract

An important goal of concept learning is that students can allocate concepts in the hierarchical system of concepts. In the data modelling course, first, we supported concept systematization with worksheets in which the students had to fill in the blank hierarchical figures of classification of the concepts or blank Venn diagrams describing the relationships between concepts. The hierarchical systems, however, are somewhat restricted to the description of connections. The filling in Venn diagrams did not deliver the expected result, so our attention turned to concept maps. In this paper we introduce the concept maps we drew. Then we evaluate the results of concept mapping survey conducted among students. The survey was done in three courses. We compare the results of our survey with the result of an earlier concept systematising survey.

An Examination of the Effectiveness of Teaching Data Modelling Concepts

“…Students had to fill in the empty concept maps of the worksheet, and give the connection between concepts. The result was significantly better than the result of 2010 survey [13].…”

“…• the usage of the concept for the description of situations, and for the solution of problems [10], [11], [12], [13]. [14] emphasizes to the importance of the concept learning in database planning.…”

“…• the usage of the concept for the description of situations, and for the solution of problems [10], [11], [12], [13].…”

“…We designed separate sheets for the execution of the concept systematization and classification. At first, students had to fill in Venn diagrams and hierarchical figures of them but lately we changed it to concept maps of data modelling, drawn by us, which reflect the relationships between concepts more complex than the concept hierarchies [13].…”

The Efficiency Examination of Teaching of Different Normalization Methods

“…[14] and [15] introduce the AER (Articulated Entity Relationship) diagram which is an modified E-R diagram and includes functional dependencies between attributes. [16] introduces concept maps which describe relationships between concepts of relational model, functional dependencies and normalization. [17] emphasizes the importance of usage of practical examples in course of teaching of normalization.…”