Evaluating modeling techniques based on models of learning

@article{Gemino2003EvaluatingMT,
  title={Evaluating modeling techniques based on models of learning},
  author={Andrew C. Gemino and Yair Wand},
  journal={Commun. ACM},
  year={2003},
  volume={46},
  pages={79-84}
}
To compare modeling techniques, combine grammar-based and cognitive-based approaches and test domain understanding. 

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References

SHOWING 1-10 OF 16 REFERENCES

Comparing representations with relational and EER models

The diffusion of technology to end users who can now develop their own information systems raises issues concerning the cost, quality, efficiency, and accuracy of such systems.

Research Commentary: Information Systems and Conceptual Modeling - A Research Agenda

Within the information systems field, the task of conceptual modeling involves building a representation of selected phenomena in some domain. High-quality conceptual modeling work is important

On the ontological expressiveness of information systems analysis and design grammars

TLDR
The notion of the ontological expressiveness of a grammar is formally examined and some of its implications for the design and use of ISAD methodologies are discussed.

Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests

TLDR
The theory that led to predict that optional attributes and relationships should be used in conceptual schema diagrams only when users of the diagrams require a surface-level understanding of the domain being represented by the diagrams is presented.

Requirements specification: learning object, process, and data methodologies

TLDR
An exploratory study is conducted to investigate the performance of three methodologies in aiding novice systems analysts who were learning to specify information requirements and the structured techniques and JSD were investigated.

How Good Are These UML Diagrams? An Empirical Test of the Wand and Weber Good Decomposition Model

TLDR
The utility of the good decomposition model in object-oriented analysis (OOA) is determined by operationalizing each condition of Wand and Weber’s model in a set of UML diagrams and testing participants’ understanding of the diagrams across three levels.

Models for Understanding

What can be done to empower students to be creative when they are faced with problems? One promising instructional technique for improving students’ understanding of scientific explanations is the

The Meta Model Hierarchy: A Framework for Information Systems Concepts and Techniques

TLDR
A framework for ordering information systems modelling techniques based on meta models is proposed, called the Meta Model Hierarchy, which positions each technique according to an analysis of the distinctions between the basic concepts, and the set of constraints defined on these concepts.

Multimedia Learning

TLDR
Whether people learn more deeply when ideas are expressed in words and pictures rather than in words alone is examined, and Richard E. Mayer examines the cognitive theory of multimedia learning.

The mythical man-month: Essays on software engineering

  • P. Kidwell
  • History
    IEEE Annals of the History of Computing
  • 1996
Like Bahbage, he lobbied for mathematical reform, stumped for the centrality of science in cultural advancement, argued that government support was crucial, and proved a stubborn and crotchety