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  • 标题:The use of STA Data Model in Learning and Teaching of Data Modeling
  • 本地全文:下载
  • 作者:Ibrahim Mohamed ; Ibrahim Mohamed
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2012
  • 卷号:59
  • 页码:493-497
  • DOI:10.1016/j.sbspro.2012.09.305
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe development of a database needs to go through the process of data modelling. There are currently a few conventional data modelling techniques, one of which is popular among the students of Faculty of Information Science and Technology (FTSM: Fakulti Teknologi dan Sains Maklumat), National University of Malaysia is the entity relationship diagram (ERD). This research looks at the use of a new technique, the STA (Source-Transaction-Agent) data model, which is introduced to FTSM students who had gone for courses on Databases and System Analysis & Design. The STA data model is applied in the Accounting Information Systems (AIS) course. This model introduces the 5-steps technique in its data modelling. The use of business forms (source documents) is the priority of the modelling technique. The AIS students’ exposure to the conventional technique from their previous courses enables them to make comparisons between both the conventional and STA data models. The students were required to solve selected case studies by developing AIS using the STA data modelling technique. A set of pre and post questionnaire was distributed to each student, both prior to and after they were introduced to the STA data model. The research looks at the readiness of the students, and also the effectiveness and efficiency of the STA data model. A comparison between two groups of students from different sessions was also made. The results of the research prove the readiness of the students on conventional modelling technique and their acceptance of the new technique (STA data model). It is hoped that the STA data model is able to provide an effective and efficient alternative in business data modelling.
  • 关键词:Form-based approach;STA data model;REA data model
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