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How quickly do we learn conceptual models?

Palash Bera and Geert Poels (UGent)
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Abstract
In organizations, conceptual models are used for understanding domain concepts. Learning the domain from models is crucial for the analysis and design of information systems that are intended to support the domain. Past research has proposed theories to structure conceptual models in order to improve learning. It has, however, never been investigated how quickly domain knowledge is acquired when using theory-guided conceptual models. Based on theoretical arguments, we hypothesize that theory-guided conceptual models expedite the initial stages of learning. Using the REA ontology pattern as an example of theoretical guidance, we show in a laboratory experiment how an eye-tracking procedure can be used to investigate the effect of using theory-guided models on the speed of learning. Whereas our experiment shows positive effects on both outcome and speed of learning in the initial stages of learning, the real contribution of our paper is methodological, i.e. an eye-tracking procedure to observe the process of learning from conceptual models.
Keywords
REA Ontology Pattern, Conceptual Model, Domain Knowledge, Learning, Eye-Tracking

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Citation

Please use this url to cite or link to this publication:

MLA
Bera, Palash, and Geert Poels. “How Quickly Do We Learn Conceptual Models?” EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2019.
APA
Bera, P., & Poels, G. (2019). How quickly do we learn conceptual models? EUROPEAN JOURNAL OF INFORMATION SYSTEMS.
Chicago author-date
Bera, Palash, and Geert Poels. 2019. “How Quickly Do We Learn Conceptual Models?” EUROPEAN JOURNAL OF INFORMATION SYSTEMS.
Chicago author-date (all authors)
Bera, Palash, and Geert Poels. 2019. “How Quickly Do We Learn Conceptual Models?” EUROPEAN JOURNAL OF INFORMATION SYSTEMS.
Vancouver
1.
Bera P, Poels G. How quickly do we learn conceptual models? EUROPEAN JOURNAL OF INFORMATION SYSTEMS. 2019;
IEEE
[1]
P. Bera and G. Poels, “How quickly do we learn conceptual models?,” EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2019.
@article{8628428,
  abstract     = {In organizations, conceptual models are used for understanding domain concepts. Learning the domain from models is crucial for the analysis and design of information systems that are intended to support the domain. Past research has proposed theories to structure conceptual models in order to improve learning. It has, however, never been investigated how quickly domain knowledge is acquired when using theory-guided conceptual models. Based on theoretical arguments, we hypothesize that theory-guided conceptual models expedite the initial stages of learning. Using the REA ontology pattern as an example of theoretical guidance, we show in a laboratory experiment how an eye-tracking procedure can be used to investigate the effect of using theory-guided models on the speed of learning. Whereas our experiment shows positive effects on both outcome and speed of learning in the initial stages of learning, the real contribution of our paper is methodological, i.e. an eye-tracking procedure to observe the process of learning from conceptual models.},
  author       = {Bera, Palash and Poels, Geert},
  issn         = {0960-085X},
  journal      = {EUROPEAN JOURNAL OF INFORMATION SYSTEMS},
  keywords     = {REA Ontology Pattern,Conceptual Model,Domain Knowledge,Learning,Eye-Tracking},
  language     = {eng},
  title        = {How quickly do we learn conceptual models?},
  year         = {2019},
}