Web mining como herramienta para calcular la carga de trabajo del alumno en la enseñanza virtual

  1. Sergio Amat 1
  2. Carlos Angosto 1
  3. Sonia Busquier 1
  4. Pilar Manzanares 1
  5. Pablo Mira 1
  6. María Muñoz 1
  7. María Muñoz 1
  1. 1 Universidad Politécnica de Cartagena

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

II Congreso Internacional de Innovación Docente. CIID: Murcia, 20 y 21 de febrero de 2014

Publisher: Universidad de Murcia

ISBN: 978-84-695-9705-7

Year of publication: 2014

Pages: 1122-1130

Type: Book chapter


Blended learning (or B-learning) is a reality in the Spanish university because of theavailability and maturity of learning management systems or LMS. These systemsoffer tools for managing contents and tasks, and offer different ways to establishchannels of communication with students. In addition, they offer the ability to monitorand track the participation of students in the created courses. In this paper we willuse the tools of data acquisition and analysis offered by Moodle, the LMS tool usedin UPCT, and also Google Analytics, a service offered by Google that generates detailed statistics about a website's traffic. From the analysis of one of the courseswith the highest participation, we will evaluate whether it is possible to extractpatterns of user behavior depending on the resources and activities that make up thecourse, with a double purpose. On the one hand to identify actions to improve thestructure, composition and programming of activities, and on the other hand, toidentify the workload associated to the use of this type of platforms