Evaluating modeling techniques based on models of learning

  title={Evaluating modeling techniques based on models of learning},
  author={Andrew C. Gemino and Yair Wand},
  journal={Commun. ACM},
To compare modeling techniques, combine grammar-based and cognitive-based approaches and test domain understanding. 

An Observation Method for Behavioral Analysis of Collaborative Modeling Skills

Process modeling skills are strongly subject to individual differences in cognitive abilities. However, we lack systematic methods to analyze how psychological mechanisms facilitating cognition

Designing Experiments to Test the Theory of Combined Ontological Coverage

This research in progress paper is to describe how experiments can be designed to examine the propositions of Recker's theory of combined ontological coverage to provide a grounding that will justify further research on conceptual modeling use as well as provide deep insights and foundations to understand how conceptual models are used in today's system analysis and development process.

Improving the Semantics of Conceptual-Modeling Grammars: A New Perspective on an Old Problem

It is shown how ontological quality and logical quality interrelate and three contributions of a logical approach are outlined: the ability to see familiar conceptual-modeling problems in simpler ways, the illumination of new problems, and the able to prove the benefit of modifying CM grammars.

A framework for empirical evaluation of conceptual modeling techniques

A framework for the empirical evaluation of conceptual modeling techniques used in requirements engineering based on the notion that modeling techniques should be compared via their underlying grammars, which addresses the dependence between the modeling task—model creation and model interpretation—and the performance measures of the modeling grammar.

Applying Cognitive Theories to Evaluate Conceptual Models in Systems Analysis

This work updates COGEVAL, a propositional framework based on cognitive theories to evaluate conceptual models, and synthesizes work from cognitive literature to develop the framework, and shows how it can be used to explain earlier empirical results as well as existing theoretical frameworks.

A Framework for Empirical Evaluation of Model Comprehensibility

A flexible framework to evaluate the comprehensibility of model representations that is grounded on the underlying theory of the language to be evaluated, and on theoretical frameworks in cognitive science is presented.

Theorizing the use of multiple conceptual models in combination

A Theory of Combined Ontological Coverage is developed by extending an existing theory of ontological expressiveness of conceptual modelling grammars to posits that multiple conceptual models are used to increase the maximum coverage of the real-world domain being modelled, whilst trying to minimize the ontological overlap between the models.

The Effect of Cognitive Abilities and Learning Approach on Domain Surface Understanding from a Process Model

This paper conceptualize model understandability as an emergent property and advance an integrative framework to understand the role of the user in the process of understanding process models.

Complexity and clarity in conceptual modeling: Comparison of mandatory and optional properties

IBM Research Report Document Models and XML Vocabulary Building for Business Users

Our work presents an experiment with a modeling tool that captures domain knowledge in a fashion natural to business users while producing formal models for use in IT processes. We demonstrate the



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

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

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

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

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

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

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