2 research outputs found
The Intelligent Transportation System Using the Infrared Sensors Based on the ZigBee Protocol and Eclipse
There are more and more cars. The traffic jam cost people a lot of time on the road. This system got the number of the cars in waiting on every crossroad by the infrared sensors in the CC2530. Based on the Zigbee protocol, the routers embedded in the infrared sensors sent the information of cars in waiting to the coordinator wirelessly. Then the coordinator sent the information to the website which is developed on the Eclipse platform through the serial port. People can check the designated crossroad whether there is the traffic jam by smart telephone or the web browser. This system can release the newest information. It can be widely applied in the transportation system
T茅cnicas de computaci贸n social e informaci贸n contextual para el desarrollo de actividades de aprendizaje colaborativo
[EN]Educational innovation is a field in which its processes has been greatly enriched by the use
of Information and Communication Technologies (ICT). Thanks to technological advances,
the use of learning models where information comes from many different sources is now
usual. Likewise, student-student, student-device and device-device collaborations provides
added value to the learning processes thanks to the fact that, through it, aspects such as
communication, achievement of common goals or sharing resources. Within the educational
innovation, we find as a great challenge the development of tools that facilitate the creation of
innovative collaborative learning processes that improve the achievement of the objectives
sought, with respect to individualized processes, and the fidelity of the students to the process
through the use of contextual information. Moreover, the development of these solutions,
that facilitate the work of teachers, developers and technicians encouraging the production of
educational processes more attractive to students, presents itself as an ambitious challenge
in which the perspectives of Ambient Intelligence and Social Computing play a key role. The
doctoral dissertation presented here describes and evaluates CAFCLA, a framework specially
conceived for the design, development and implementation of collaborative learning activities
that make use of contextual information and that is based on the paradigms of Ambient
Intelligence and Social Computing. CAFCLA is a flexible framework that covers the entire
process of developing collaborative learning activities and hides all the difficulties involved
in the use and integration of multiple technologies to its users. In order to evaluate the
validity of the proposal, CAFCLA has supported the implementation of three concrete and
different use cases. These experimental use cases have shown that, among other benefits,
the use of Social Computing customizes the learning process, encourages collaboration,
improves relationships, increases commitment, promotes behaviour change in users and
enables learning to be maintained over time. In addition, in order to demonstrate the flexibility
of the framework, these use cases have been developed in different scenarios (such as a
museum, a public building or at home), different types of learning have been proposed
(serious games, recommendations system orWebQuest) and different learning objectives have
been chosen (academic, social and energy-efficient).[ES]La innovaci贸n educativa es un campo que ha sido enormemente enriquecido por el uso de las Tecnolog铆as de la Informaci贸n y las Comunicaciones (TIC) en sus procesos. Gracias a los avances tecnol贸gicos, actualmente es habitual el uso de modelos de aprendizaje donde la informaci贸n proviene de numerosas y diferentes fuentes. De igual forma, la colaboraci贸n estudiante-estudiante, estudiante-dispositivo y dispositivo-dispositivo, proporciona un valor a帽adido a los procesos de aprendizaje gracias a que, a trav茅s de ella, se fomentan aspectos como la comunicaci贸n, la consecuci贸n de una meta com煤n, o la compartici贸n de recursos. Dentro de la innovaci贸n educativa encontramos como un gran desaf铆o el desarrollo de herramientas que faciliten la creaci贸n de procesos de aprendizaje colaborativo innovadores que mejoren los resultados obtenidos, respecto a los procesos individualizados, y la fidelidad de los estudiantes al proceso mediante el uso de informaci贸n contextual.M谩s a煤n, el desarrollo de soluciones que faciliten el trabajo a profesores, desarrolladores y t茅cnicos, fomentando la producci贸n de procesos educativos m谩s atractivos para los estudiantes, se presenta como un ambicioso reto en el que las perspectivas de la Inteligencia Ambiental y la Computaci贸n Social juegan un papel fundamental. La tesis doctoral aqu铆 presentada describe y eval煤a CAFCLA, un framework especialmente concebido para el dise帽o, desarrollo e implementaci贸n de actividades de aprendizaje colaborativo que hagan uso de informaci贸n contextual bas谩ndose en los paradigmas de la Inteligencia Ambiental y la Computaci贸n Social. CAFCLA es un framework flexible que abarca todo el proceso de desarrollo de actividades de aprendizaje colaborativo y oculta todas las dificultades que implican el uso e integraci贸n de m煤ltiples tecnolog铆as a sus usuarios. Para evaluar la validez de la propuesta realizada, CAFCLA ha soportado la implementaci贸n de tres casos de uso concretos y diferentes entre s铆. Estos casos de uso experimentales han demostrado que, entre otros beneficios, el uso de la Computaci贸n Social personaliza el proceso de aprendizaje, fomenta la colaboraci贸n, mejora las relaciones, aumenta el compromiso, favorecen el cambio de comportamiento en los usuarios y mantiene su implicaci贸n en el proceso a lo largo del tiempo. Adem谩s, con el objetivo de demostrar la flexibilidad del framework, estos casos de uso se han desarrollado en diferentes escenarios (como un museo, un edificio p煤blico o el hogar), se han propuesto diferente tipos de aprendizaje (juegos serios, sistema de recomendaciones o WebQuest) y se han elegido diferentes objetivos de aprendizaje (acad茅micos, sociales y de eficiencia energ茅tica)