Future Context-aware Pervasive Learning Environment: Smart Campus

Facta universitatis - series: Electronics and Energetics, 2016

In this paper, a modular platform which provides student services for smart educational environment is described. The platform represents a point of mutual integration of various services, such as hosting platform for students? projects, platform for integrating SMS service with students? web applications, Internet of Things platform which enables acquiring data from sensors distributed within the University building and controlling various actuators. Platform is deployed as a part of Smart Learning environment. It is integrated with single sign on service and it uses CAS and Oauth2. REST API is also provided. PHP Symfony framework, relational and non-relational databases are used for deploying the platform. The platform was evaluated and tested.

2008

This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components dealing with various tasks and heterogeneous distributed resources. Our proposed infrastructure is based on a multi-agent system architecture to integrate various components of the environments. The infrastructure includes a location- and context-awareness service, a question and answer service, an adaptive mechanism; problem based ubiquitous learning models, social networking issues, and the evaluation of multimedia inputs. Furthermore, student modeling issues among components are considered. The design of the infrastructure as well as its components is discussed. This paves the way towards the development of pervasive learning applications. 1.

2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010

Thanks to the public and low cost availability of wireless high speed internet access students are increasingly equipped with mobile internet enabled devices to connect to university services like Learning Management System (LMS). But the applications services like LMS are still unable to adapt themselves to modern mobile devices with restrictions like reduced display size. By recognizing the device and its restrictions it is possible to optimize the LMS interface. Additionally by using device features like position, acceleration sensors, or the camera it is possible to detect the intentions of the user. The context of the user's situation determines which university services are helpful and interesting. Gathering these context information and reasoning on them is the foundation of our context-and service-oriented approach towards a mobile LMS. This enables us to personalize the mobile learning experience with location-sensitive lecture streaming, campus navigation, and ubiquitous features of the whole university computing infrastructure. By using a service-oriented architecture we are able to compose a variety of different university and external services towards a pervasive university.

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011

With the continued increase in the use of ubiquitous devices, learners' expectations of learning services have also increased. Most of the learning services being provided today are not designed or delivered for ubiquitous learning environments because these learning services have not been taken into account rich learning contexts. This paper proposes a service-oriented architecture for context-aware adaptive learning services, which contains adaptation service, transforming service, and presentation service. Within each service, the conflicts are resolved by different learning rule base. The results show that the system may improve the learning experience under ubiquitous learning environments, and the learners are more interested in adapted learning service than those from general learning service.

2008

With the proliferation of mobile devices, pervasive learning has become a new wave in technology-enhanced learning (TEL). One of the key problems to solve in this area is to adapt learning content and services according to a learner's needs and wants to different learning contexts at the workplace. We propose using semantic web services as a solution to context -adaptive pervasive learning. Another problem lies in web service search, which may return many services that do not match the requirements and context of a learner. This wastes resources and poses more problems to the formulation of just-in-time learning activities. In this paper, we define a service requirement specification to model a service request and a semantic description metadata schema to sufficiently annotate web service functionalities and behavior. On top of that, we propose an adaptation model to match and adapt relevant web services. The technique and algorithm presented in this paper are aimed at improving the efficiency and accuracy in selecting the right web service for a scenario at the workplace.

2009

Abstract. One of the main software engineers' competencies, solving software problems, is most effectively acquired through an active examination of learning resources and work on real-world examples in small development teams. This obviously indicates a need for an integration of several existing learning tools and systems in a common collaborative learning environment, as well as advanced educational services that provide students with right in time advice about learning resources and possible collaboration partners.

IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 2015

Mobile learning is a reality. However, ubiquitous learning approaches are not at a full level of maturity, much of these approaches lacking proposals aiming to provide its practical use. This paper presents an architecture for ubiquitous learning, which employs the paradigm of ontology-based data access (OBDA) for solving problems related to data integration and access of data sources in complex structures. OBDA techniques are explored to allow access and mapping of contextual data and their integration into a student's contextaware semantic model. The applicability of this proposal is evaluated through a case study with an e-learning environment and a middleware for ubiquitous computing.

2008

Abstract This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components dealing with various tasks and heterogeneous distributed resources. Our proposed infrastructure is based on a multi-agent system architecture to integrate various components of the environments.

Lecture Notes in Computer Science

In order to facilitate the development and proliferation of contextaware ubiquitous learning services, there is a need for architectural support in the user context processing and learning content management. In this paper, we propose a context-aware ubiquitous learning infrastructure called Semantic Learning Space. It leverages the Semantic Web technologies to support explicit knowledge representation, flexible context reasoning, interoperable content integration, expressive knowledge query, and adaptive content recommendation. The architectural design and enabling technologies are described in detail. Several applications and experiments are presented to illustrate and evaluate the key features of the infrastructure.

International Journal of Information and Communication Technology Education, 2012

The application of ubiquitous technologies in the improvement of education strategies is called Ubiquitous Learning. GlobalEdu is a model created to support ubiquitous learning. The model has the necessary support to implement learning-related functionalities in ubiquitous environments. The basic ubiquitous computing support must be supplied by a middleware where GlobalEdu lays atop. This article proposes the GlobalEdu model and its integration with two ubiquitous middlewares: ISAM and LOCAL. ISAM supports the creation of large-scale ubiquitous systems. As such, its integration with GlobalEdu results in large-scale ubiquitous learning environments. LOCAL is dedicated to create small-scale ubiquitous learning environments. The integration GlobalEdu/LOCAL results in a local ubiquitous learning environment. Based on this small-scale environment, the authors’ created a system and applied it in a practical scenario involving the community of a Computer Engineering undergraduate course. T...