Mejorando la evaluación de juegos serios mediante el uso de análiticas de aprendizaje

  1. SERRANO LAGUNA, ANGEL
Supervised by:
  1. Baltasar Fernández Manjón Director

Defence university: Universidad Complutense de Madrid

Fecha de defensa: 15 June 2017

Committee:
  1. María del Carmen Fernández Chamizo Chair
  2. Guillermo Jiménez Díaz Secretary
  3. Martín Llamas Nistal Committee member
  4. Gregorio Robles Martínez Committee member
  5. Manuel Alonso Castro Gil Committee member
Department:
  1. Ingeniería del Software e Inteligencia Artificial

Type: Thesis

Abstract

This thesis proposes the use of learning analytics to improve assessment in educational videogames or serious games. The work focuses on two aspects needed for an effective learning assessment: 1) requirements related to serious games design; 2) the framework and the data analysis model needed for learning analytics.This work presents an analysis framework and a design methodology focused on serious games. These two pieces combined set the basis for a full application of learning analytics into serious games. The main goal of this process is to offer assessment results (or knowledge levels) to teachers and instructors after their students interact with a serious game. The process starts with the design and implementation of an effective serious games. The serious game must be able to capture the interactions representing the learning process. These interactions are the basis for a capture data model that is later analyze to obtain assessment results. Finally, these results are presented to teachers and instructors through visualizations that allow them to take action...