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Title:      A FRAMEWORK FOR FEEDBACK IN E-LEARNING SYSTEMS FOR DATA MODELING
Author(s):      Harrie Passier
ISBN:      978-972-8924-55-3
Editors:      Piet Kommers and Pedro IsaĆ­as
Year:      2008
Edition:      Single
Keywords:      Feedback, data modelling, e-learning
Type:      Short Paper
First Page:      437
Last Page:      440
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In computer science education, developing data models is an important competence students have to master. Often, students have to learn several data model languages. It should be possible to produce feedback about the syntax as well as the semantics when a student develops a data model using an e-learning system. Unfortunately, this is not the reality. Many systems produce feedback about syntactical errors, but less systems produce feedback about semantical errors. Furthermore, only one model language is often supported. In this paper, I will present a framework that: (1) generates feedback about semantical errors, and (2) supports several data model languages.
   

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