ALSYSTEM: Autonomous Learning System in Computer Science Degrees

Abstract

In this article we present a system for the promotion of an autonomous learning by the students and also, an automated assessment of competencies to be achieved within the European Higher Education Area. Specifically, this work focuses on the assessment of competencies of Computer Science degrees. To achieve the proposed objective, the system allows automatic evaluation of the practices undertaken by students in the terms defined by the teacher, considering quality metrics and test cases. Currently, the proposal is presented in the development phase, although it already has a working prototype.

Abraham Duarte

Full Professor

Abraham Duarte is Full Professor in the Computer Science Department at the Rey Juan Carlos University (Madrid, Spain). He has done extensive research in the interface between computer science, artificial intelligence, and operations research to develop solution methods based on Computational Intelligence (metaheuristics) for practical problems in operations-management areas such as logistics and supply chains, telecommunications, decision-making under uncertainty and optimization of simulated systems.

Eduardo García Pardo

Full Professor

One of the founders of the investigation group GRAFO, whose main line of research is the development of algorithms to tackle optimization problems, the topic of the researcher’s Doctoral Thesis and which their most notable publications are framed.