Horizon Report 2009

El informe anual Horizon investiga, identifica y clasifica las tecnologías emergentes que los expertos que lo elaboran prevén tendrán un impacto en la enseñanza aprendizaje, la investigación y la producción creativa en el contexto educativo de la enseñanza superior. También estudia las tendencias clave que permiten prever el uso que se hará de las mismas y los retos que ellos suponen para las aulas. Cada edición identifica seis tecnologías o prácticas. Dos cuyo uso se prevé emergerá en un futuro inmediato (un año o menos) dos que emergerán a medio plazo (en dos o tres años) y dos previstas a más largo plazo (5 años)

Participatory Mapping of Village Potential with Geotagging Data (Case Study: Wedomartani Village, Sleman, Yogyakarta)

Digital spatial data has the highest demand, especially for the needs of analysis in terms of mapping. Mapping is currently the focus of attention of many institutions because real objects in the field in a wide range can be visualized in a precision field with a specif ic scale. Many villages do not have digital spatial data; one ofthem is Wedomartani village. Therefore, an inventory of digital spatial data of important village objects needs to be done. This study aims to map the potential of village using satellite imagery data from Google Earth and Geotagging photographs and determine the zoning potential of the Land Use of Wedomartani village. The method used to map the potential of villages using satellite imagery data is the method of interpretation, then geotagging photo data obtained through surveys utilizing GPS tag technology from smartphones and the participatory role of village communities. The determination of village land-use zoning used the matching method of the potential map with validation of geotagging photo data. The results interpretation of satellite images shows that the potential in the village of Wedomartani in the form of important objects as the potential of the village is public facilities, tourism objects, theme parks, sports facilities, buildings, roads, rivers, and agriculture. The zoning results of the potential land use of the Wedomartani village consist of Trade and Service Zones in the form of micro, small and medium businesses spread along the main road as a sector of economicpotential (212.73 Ha); The Recreation Zone is in the form of Maguwoharjo Football Stadium, Jogja Bay Pirates Adventure Park Family Park, Tambak Boyo Reservoir and Gebang Temple Cultural Heritage Site as a potential tourism sector (23.48 Ha); Agricultural and Plantation Zones in the form of irrigated rice, maize and chili as potential for sustainable agriculture (661.19 Ha)

MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities

In this paper, we introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to train and evaluate multitask systems on samples in multiple modalities and three languages. The generation process and inclusion of semantic data provide a resource that further tests the ability for multitask systems to learn relationships between entities. The dataset is designed for researchers and developers who build applications that perform multiple tasks on data encountered on the web and in digital archives. A second version of MLM provides a geo-representative subset of the data with weighted samples for countries of the European Union. We demonstrate the value of the resource in developing novel applications in the digital humanities with a motivating use case and specify a benchmark set of tasks to retrieve modalities and locate entities in the dataset. Evaluation of baseline multitask and single task systems on the full and geo-representative versions of MLM demonstrate the challenges of generalising on diverse data. In addition to the digital humanities, we expect the resource to contribute to research in multimodal representation learning, location estimation, and scene understanding

Using Mobile Augmented Reality to Enhance Health Professional Practice Education

The use of augmented reality (AR) as a new multimedia networking technology is increasing. An investigation was made of the value of using AR as a tool to support the teaching of clinical practice skills. A series of mobile AR resources were created for use on tablet computers and smartphones to supplement clinical skills teaching in the laboratory (using image recognition), and clinical practice (using geolocation). Undergraduate students in nursing, physiotherapy, and occupational therapy tested these resources in lab sessions, a location-based campus exercise, and during clinical practice experiences. Following this, a post-exposure web survey and focus group interviews were undertaken to appraise the value of these tools. Results demonstrated that the potential for students to use technologies they already possess in AR based m-learning may offer significant advantages, and offer a practical technique to engage learners. However, these technologies remain in an early stage of development and more robust implementations and sustainable platforms are required for mainstream educational use