Luis Chamba-Eras

Cloud Computing in Smart Educational Environments: Application in Learning Analytics as Service

In this paper, we present an extension of a Middleware for Smart Educational Environments based in agents, using the paradigm of Cloud Computing. In that sense, we detail the Middleware components, which enable the process of management of the Cloud Computing. We also present the utilization of this Middleware to provide services on the cloud about task of Learning Analytics that allow processing of data of students and learning environments, to understand and optimize the learning processes.

Learning analytics tasks as services in smart classrooms

Abstract A smart classroom integrates the different components in a traditional classroom, by using different technologies as artificial intelligence, ubiquitous, and cloud paradigms, among others, in order to improve the learning process. On the other hand, the learning analytics tasks are a set of tools that can be used to collect and analyze the data accumulated in a smart classroom. In this paper, we propose the definition of the learning analytics tasks as services, which can be invoked by the components of a smart classroom. We describe how to combine the cloud and multi-agent paradigms in a smart classroom, in order to provide academic services to the intelligent and non-intelligent agents in the smart classroom, to adapt and respond to the teaching and learning requirements of students. Additionally, we define a set of learning analytics tasks as services, which defines a knowledge feedback loop for the smart classroom, in order to improve the learning process in it, and we explain how they can be invoked and consumed by the agents in a smart classroom.

Specification of a Smart Classroom Based on Agent Communities

For the development of distributed applications, it is required to define a formalization of the process of implementation. Particularly, we are interested in one type of Ambient Intelligence (AmI), the Smart Classroom. In this paper we propose the implementation of a Smart Classroom, called SaCI, using the concept of communities of agents. With this concept, we carry out the definition and implementation of sets of agents according to their roles, functionalities, characteristics, among others, in SaCI. Each community can be designed and implemented independently and later be integrated in SaCI. In this paper we present this approach and its implementation in SaCI.

Analysis of usability of universities Web portals using the Prometheus tool - SIRIUS

The aim of this paper is to present a heuristic study about the level of usability of 24 universities Web portals using data mining techniques. For experimenting in this work, we used a System for Evaluation of Usability of Web sites (SIRIUS) which contains a tool to generate usability valuations of Web sites called Prometheus and integrates 10 heuristics to do the process. The assessments collected will give feedback to IT departments to redesign, restructure or implement new Web portals that comply with the standards of usability.

Bayesian Networks to predict reputation in Virtual Learning Communities

The aim of the paper is to present a Bayesian Network (BN) for predicting reputation of members of Virtual Learning Communities using direct interactions between them considering the theory of the rewards of behavioral Psychology. Reputation is a key factor of a trust model. A prototype of the proposed BN was implemented in the Moodle Learning Management System.