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CaMeLOT: An educational framework for conceptual data modelling
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Fundamentals of Data Base Systems
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Conceptual data modelling in theory and practice
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Software engineering the mixed model for genome-wide association studies on large samples
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Understanding quality in conceptual modeling
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Analyzing the Quality of Domain Models Developed by Novice Systems Analysts
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A Practical Conceptual Modeling Teaching Method Based on Quantitative Error Analyses for Novices Learning to Create Error-Free Simple Class Diagrams
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Design science in information systems research
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education
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Data Modeling for Productive Asset and Supporting Asset
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Use of Personalized Feedback Reports in a Blended Conceptual Modelling Course
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