Authors: Jose Aguilar, Priscila Valdiviezo, Jorge Cordero and Manuel Sánchez
Abstract - The smart environments have been used in different domains: home, educational and health centers, etc. Particularly, a smart environment in education must integrate different aspects linked to virtual and presencial education, the profile of the students, to the pedagogical paradigm used, etc., in real time. In this paper we characterize a smart classroom considering these aspects, using the multiagent systems paradigm. Particularly, we define the different components of a smart classroom with their properties. Based on that, we describe these components like agents using MASINA, a methodology to specify multiagent systems. We define two frameworks of agents which describe the different types of components in a smart classroom (of software and of hardware), and give examples of applications of these two frameworks in a device and a software of a smart classroom. Finally, we show an example of conversation in a smart classroom based on our multiagents approach, specifically in a work session.
Keywords: Smart Classroom, Multiagent System, AmI, Middleware
Proceedings on the International Conference on Artificial Intelligence (ICAI): 471-477. Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp). (2015)
Link: http://search.proquest.com/openview/930c8d0a31e0faf9bbd8a2a44137e85a/1?pq-origsite=gscholar
jueves, 30 de julio de 2015
martes, 28 de julio de 2015
A Smart Learning Environment based on Cloud Learning
Authors: Sánchez, M., J. Aguilar, J. Cordero, and P. Valdiviezo.
Abstract—In this paper is presentedan architecture of a Reflective Middlewarebased in Cloud Learning, for Intelligent Learning Environments.The middleware is defined using theMultiagent Systemsparadigm, and propose academic services on the cloud based on the current context.That is, the middlewaremanages educational services in the cloud to enhance the learning experience of students, either collaboratively or individually.In that sense, in this paper is detailed the middleware components, which enable the process of management of the cloud computing. The paper also presents examples of the utilization of the middleware to provide services on the cloud about tasks of learning analytics, which allow processing of data of students and learning environment in order to understand and optimize their learning processes.
Index terms -Intelligent Learning Environment; Cloud Learning; Reflective middleware; Ambient Intelligence
Link: http://www.academia.edu/download/41072580/A_Smart_Learning_Environment_based_on_Cloud_Learning.pdf
Abstract—In this paper is presentedan architecture of a Reflective Middlewarebased in Cloud Learning, for Intelligent Learning Environments.The middleware is defined using theMultiagent Systemsparadigm, and propose academic services on the cloud based on the current context.That is, the middlewaremanages educational services in the cloud to enhance the learning experience of students, either collaboratively or individually.In that sense, in this paper is detailed the middleware components, which enable the process of management of the cloud computing. The paper also presents examples of the utilization of the middleware to provide services on the cloud about tasks of learning analytics, which allow processing of data of students and learning environment in order to understand and optimize their learning processes.
Index terms -Intelligent Learning Environment; Cloud Learning; Reflective middleware; Ambient Intelligence
Link: http://www.academia.edu/download/41072580/A_Smart_Learning_Environment_based_on_Cloud_Learning.pdf
jueves, 16 de julio de 2015
Basic Features of a Reflective Middleware for Intelligent Learning Environment in the Cloud (IECL)
Authors: Sánchez Manuel, Aguilar, Jose, Cordero Jorge, & Valdiviezo Priscila
Abstract:
In this paper is proposed an architecture of a Reflective Middleware, which aims to manage an Intelligent Environment of Learning based in cloud learning, which is modeled using a Multiagent system. The Middleware is able to monitor the environment consisting of physical and virtual objects, intelligent or not, based on the context. The middleware manages educational services in the cloud to enhance the learning experience of students, either collaboratively or individually.
Keywords— Intelligent Environment; Cloud Learning; Virtual
Published in: Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on
DOI: 10.1109/APCASE.2015.8
Link: http://ieeexplore.ieee.org/document/7286984/
Abstract:
In this paper is proposed an architecture of a Reflective Middleware, which aims to manage an Intelligent Environment of Learning based in cloud learning, which is modeled using a Multiagent system. The Middleware is able to monitor the environment consisting of physical and virtual objects, intelligent or not, based on the context. The middleware manages educational services in the cloud to enhance the learning experience of students, either collaboratively or individually.
Keywords— Intelligent Environment; Cloud Learning; Virtual
Published in: Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on
DOI: 10.1109/APCASE.2015.8
Link: http://ieeexplore.ieee.org/document/7286984/
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