Self-Assessment Survey: A Tool for Data Mining in the Virtual Learning Environment

  • Rita de Cássia Santos Nunes Lisboa University of the Unified Health System, University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Juliana Mercês University of the Unified Health System, University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Márcia Rendeiro University of the Unified Health System, University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Paulo Dias University of the Unified Health System, University of the State of Rio de Janeiro, Rio de Janeiro, Brazil.
Keywords: eLearning, education, evaluation, eHealth, virtual learning environment

Abstract

The Open University of the Unified Health System, of the University of the State of Rio de Janeiro (UNA-SU/UERJ), focusses on meeting the training needs and ongoing education of health professionals. The object of study was to analyse the student's route in the virtual learning environment (VLE) and measure their degree of satisfaction in the completion of the self-instructional course "Approach of Violence in Home Care" using a self-evaluation survey. Data were collected from 63 participants between 4 August 2016 and 10 October 2016. Results: 89.0% of the students followed the course in the order of the units of each book, 85.7% reported that they did not stop studying any subject to move to another unit, 66.7% did not have difficulty in accessing the didactic materials in VLE, 98.4% indicated that the content was presented with clarity and was easy to understand. In addition, 73.0% reported that the content of the course met their expectation of teaching and learning, and that 81.0% of teaching materials were useful for learning. Students were satisfied with the course, and its design which aided access to content and navigation in the VLE. The metrics collected in the VLE will be used to guide the development of new projects, and will help in the planning and development of new courses.

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Published
2017-04-02
How to Cite
Lisboa, R. de C., Mercês, J., Rendeiro, M., & Dias, P. (2017). Self-Assessment Survey: A Tool for Data Mining in the Virtual Learning Environment. Journal of the International Society for Telemedicine and EHealth, 5, (GKR);e28:(1-3). Retrieved from https://journals.ukzn.ac.za/index.php/JISfTeH/article/view/261
Section
Global Telemedicine and eHealth Updates. Knowledge Resources. Vol. 10, 2017