Simulations, Case Studies and Role Playing: From Cognitive Technologies to the Creation of New Learning Environments. The Experimental Proposals by Telematic University Guglielmo Marconi



The pervasiveness of the network and the versatility of multimedia tools have profoundly changed the way the academic world performs its primary functions: Transmission and Construction of Knowledge. These are functions which are continuously subject to exploration by didactic researchers with the purpose of overcoming standard formulas, because the “super-speed” of our time implies a premature ageing of the scientific literature, and because it is also continually necessary to outstrip the relativity of cognitive path. In this paper we will illustrate two case studies (“Criminal Procedure” and “Art and Surroundings”) very different one from the other as far as the didactic design, educational objectives and content fruition are concerned. Although very different, those two multimedia learning paths could be considered as a possible interpretation of the concept of ‘simulation’; the concept itself might be finally considered on an interpretative line moving toward the concept of ‘representation’ and must be understood as:
  • “Schematically simplified view” of real environments.

  • Content “figurative representations”. The two case studies that will be explained in this paper might therefore be identified as multimedia experimental projects that have implicitly altered theories and cognitive models, in order to generate new semantic features.


Cognitive Load Criminal Procedure Cognitive Load Theory Cognitive Technology Dual Code Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Mammarella M., Cornoldi C., Pazaglia F. (2005), Psicologia dell’apprendimento Multimediale, Il Mulino, BolognaGoogle Scholar
  2. 2.
    Calvani A. (1998), Costruttivismo, progettazione didattica e tecnologie, in D. Bramanti (a cura di)Progettazione formativa e valutazione, Carocci, RomaGoogle Scholar
  3. 3.
    Carletti A., Varani A., ICT come ambiente per una didattica costruttivista, Informatica & Scuola, Dossier, anno IX, n.2–3Google Scholar
  4. 4.
    Calvani A. (a cura di), (2007), Tecnologia, Scuola e processi cognitivi, Franco Angeli, MilanoGoogle Scholar
  5. 5.
    Domenici G. (1999), Manuale della valutazione scolastica, Editori LaterzaGoogle Scholar
  6. 6.
    Vogel J., J. Bowers, K. Muse, M. Wright, (2006), Computer Gaming and Interactive Simulation for Learning: A meta-analysis, Baywood Publishing CompanyGoogle Scholar
  7. 7.
    Mayer, R. E., and Moreno, R., Nine ways to reduce cognitive load in multimedia learning, Educational Psychologist, 38(1). Maragliano R.(a cura di), (2004), Pedagogie dell’e-learning, LaterzaGoogle Scholar
  8. 8.
    Santilli R. (2006), Il mestiere dell’Instructional Designer, Franco Angeli, MilanoGoogle Scholar
  9. 9.
    Romiszowski, A.J. (1988), The Selection and use of Instructional Media, Nichols Publishing, New YorkGoogle Scholar
  10. 10.
    Gentner, Stevens (1993), On the relation of dual coding and mental models in graphic comprehension, Learning and Instruction, Volume 3, Issue 3Google Scholar
  11. 11.
    Mayer, R. (1989), Models for understanding, Review of Educational Research, V. 59, N.1 43–64Google Scholar
  12. 12.
    Winn, W. (2002), Current trends in educational technology research: The study of learning environments, Educational Psychology Review, 14(3) 331–351CrossRefGoogle Scholar
  13. 13.
    Manouselis, N., & Sampson, D. (2002), Dynamic knowledge route selection for personalized learning environments using multiple criteria, Proceedings of the IASTED International Conference on Applied InformaticsGoogle Scholar
  14. 14.
    Clark, R., Lyons, C. (2004), Graphics for learning: proven guidelines for planning, designing, and evaluating visuals in training materials, Pfeiffer, San Francisco, CAGoogle Scholar
  15. 15.
    Kulik, C., Kulik, J., & Bangert-Drowns, R. (1990), Effectiveness of mastery learning programs: A meta-analysis. Review of Educational Research, Vol. 60, No. 2, 265–299Google Scholar
  16. 16.
    Perkins D.N. (1991), Tecnology meets constructivism: do they make a marriage? Educational Technology, 31 5 18–23Google Scholar
  17. 17.
    Santilli R. (2002), Simulazione e apprendimento: un problema estetico, RomaGoogle Scholar

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© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.Università Telematica Guglielmo MarconiRomaItaly

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