Computer Networks E-learning Based on Interactive Simulations and SCORM

Authors

  • Pablo Gil Associate Professor, University of Alicante
  • Francisco Andrés Candelas Associate Professor, University of Alicante
  • Carlos Alberto Jara Assistant Professor, University of Alicante

DOI:

https://doi.org/10.3991/ijoe.v7i2.1638

Keywords:

Computer networks, EJS, Java simulations, KivaNS, Learning assessment

Abstract


This paper introduces a new set of compact interactive simulations developed for the constructive learning of computer networks concepts. These simulations, which compose a virtual laboratory implemented as portable Java applets, have been created by combining EJS (Easy Java Simulations) with the KivaNS API. Furthermore, in this work, the skills and motivation level acquired by the students are evaluated and measured when these simulations are combined with Moodle and SCORM (Sharable Content Object Reference Model) documents. This study has been developed to improve and stimulate the autonomous constructive learning in addition to provide timetable flexibility for a Computer Networks subject.

Author Biographies

Pablo Gil, Associate Professor, University of Alicante

Associate Professor Automatics, Robotics and Computer Vision Group. Physics, Systems Engineering and Signal Theory Department. University of Alicante.

Francisco Andrés Candelas, Associate Professor, University of Alicante

Associate Professor Automatics, Robotics and Computer Vision Group. Physics, Systems Engineering and Signal Theory Department. University of Alicante.

Carlos Alberto Jara, Assistant Professor, University of Alicante

Assistant Professor Automatics, Robotics and Computer Vision Group. Physics, Systems Engineering and Signal Theory Department. University of Alicante.

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Published

2011-05-07

How to Cite

Gil, P., Candelas, F. A., & Jara, C. A. (2011). Computer Networks E-learning Based on Interactive Simulations and SCORM. International Journal of Online and Biomedical Engineering (iJOE), 7(2), pp. 15–23. https://doi.org/10.3991/ijoe.v7i2.1638

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Section

Papers