Foreword [to Digital literacy, technology and social inclusion: making sense of one-to-one computer programmes around the world]

(Excerto) In times past, learning to read, write and do arithmetic was to get on course to earn the “writ of emancipation” in society. These skills are still essential today, but are not enough to live in society. Reading and critically understanding the world we live in, with all its complexity, difficulties and challenges, require not only other skills (learning to search for and validate information, reading with new codes and grammar, etc) but, to a certain extent, also metaskills, matrixes and mechanisms that are transversal to the different and new literacies, are necessary. They are needed not just to interpret but equally to communicate and participate in the little worlds that make up our everyday activities as well as, in a broader sense, in the world of the polis, which today is a global world.

Ampliació i extensió en l'ús del portafolis digital en l'avaluació de l'alumnat

El treball realitzat amb l’ajuda MQD2006 està relacionat amb l’ús de portafolis electrònics en un context universitari. Els objectius que ens havíem traçat, eren: 1)Dissenyar una versió beta del portafolis digital desenvolupat adhoc pel grup 2)Implementar una metodologia avaluativa basada en el portafolis digital desenvolupat 3)Generar portafolis digitals com a model de bones pràctiques d’avaluació de l’alumnat 4)Recollir dades sobre el seu funcionament en relació a l’alumnat A més dels anteriors objectius, relacionats amb els aspectes pedagògics freuit de la implementació i ús dels portafolis digitals, hi ha dos objectius relacionats amb aspectes didàctics. Aquests són: 5) Anàlisi dels canvis en la metodologia didàctica i en els continguts curriculars 6) Anàlisi de criteris de sostenibilitat de la utilització continuada del portafolis digital. Almenys 5 d’aquests 6 objectius s’han complert de manera completa, i un (el nombre cinc) ha quedat solament esbossat. Per altra banda, alguns resultats inesperats s’han produït en aquests dos anys i es poden afegir a aquesta llista inicial: 7) Expansió i difusió de l’experiència cap a altres universitats. 8) Possibilitat de plantejar un projecte d’investigació bàsica sobre les conseqüències de l’ús de portafolis en la docència universitària basada en l’EEES. La Memòria seguirà de prop aquests objectius, si bé es distribuiran d’una manera diferent. Com a resultats i conclusions hem pogut veure que l’eina ha estat ben valorada en quant a la metodologia d’ús proposada, en quant al propi seguiment de l’aprenentatge i per una autoavaluació continuada. Hem vist una millora en les reflexions dels estudiants fent servir un diàleg on-line entre professor-estudiant. D’altra banda, hem detectat que es requereix millorar la seva usabilitat, un ús continuat més llarg i algunes recomanacions encarades al treball docent del professorat i no tant de l’eina.

Machine learning algorithms for spatial data. Case studies: Environmental pollution, natural hazards, renewable resources

This paper presents general problems and approaches for the spatial data analysis using machine learning algorithms. Machine learning is a very powerful approach to adaptive data analysis, modelling and visualisation. The key feature of the machine learning algorithms is that they learn from empirical data and can be used in cases when the modelled environmental phenomena are hidden, nonlinear, noisy and highly variable in space and in time. Most of the machines learning algorithms are universal and adaptive modelling tools developed to solve basic problems of learning from data: classification/pattern recognition, regression/mapping and probability density modelling. In the present report some of the widely used machine learning algorithms, namely artificial neural networks (ANN) of different architectures and Support Vector Machines (SVM), are adapted to the problems of the analysis and modelling of geo-spatial data. Machine learning algorithms have an important advantage over traditional models of spatial statistics when problems are considered in a high dimensional geo-feature spaces, when the dimension of space exceeds 5. Such features are usually generated, for example, from digital elevation models, remote sensing images, etc. An important extension of models concerns considering of real space constrains like geomorphology, networks, and other natural structures. Recent developments in semi-supervised learning can improve modelling of environmental phenomena taking into account on geo-manifolds. An important part of the study deals with the analysis of relevant variables and models' inputs. This problem is approached by using different feature selection/feature extraction nonlinear tools. To demonstrate the application of machine learning algorithms several interesting case studies are considered: digital soil mapping using SVM, automatic mapping of soil and water system pollution using ANN; natural hazards risk analysis (avalanches, landslides), assessments of renewable resources (wind fields) with SVM and ANN models, etc. The dimensionality of spaces considered varies from 2 to more than 30. Figures 1, 2, 3 demonstrate some results of the studies and their outputs. Finally, the results of environmental mapping are discussed and compared with traditional models of geostatistics.

Una aproximació a l'alfabetització digital en l'àmbit educatiu no universitari de Catalunya (a partir de la recerca PIC escoles de la UOC)

Aquest treball s'estructura en tres parts. En la primera hi ha el projecte de treball. La segona part vol reflectir tot el marc conceptual elaborat i reelaborat amb profunditat entorn de la recerca, el qual és necessari per a estructurar, entendre i autoavaluar-la. El marc conceptual se centra bàsicament en tres aspectes: en primer lloc, el mètode de recerca emprat en la recerca PIC a les escoles; en segon lloc, l'evolució de les tecnologies en l'ensenyament paral·lelament a la mateixa concepció de l'ensenyament-aprenentatge, i, com a conseqüència dels dos anteriors, finalment, s'hi analitza l'evolució del concepte d'alfabetització, concretant l'estudi en l'alfabetització digital, com també la possibilitat ampliada per a les TIC de fomentar l'aprenentatge col·laboratiu. La tercera part del treball analitza la funció social de l'escola en la societat del coneixement.

The Value of Imperfection : the Wabi-Sabi Principle in Aesthetics and Learning

OER-based learning has the potential to overcome many shortcomings and problems of traditional education. It is not hampered by IP restrictions; can depend on collaborative, cumulative, iterative refinement of resources; and the digital form provides unprecedented flexibility with respect to configuration and delivery. The OER community is a progressive group of educators and learners with decades of learning research to draw from, who know that we must prepare learners for an evolving and diverse reality. Despite this OER tends to replicate the unsuccessful characteristics of traditional education. To remedy this we may need to remember the importance of imperfection, mistakes, problems, disagreement, and the incomplete for engaged learning, and relinquish our notions of perfection, acknowledging that learners learn differently and we need diverse learners. We must stretch our perceptions of quality and provide mechanisms for engaging the incredible pool of educators globally to fulfill the promise of inclusive education.

When the mummy is digital : preservation and dissemination

Most educational institutions include nowadays a digital repository as part of their development and positioning strategy. The main goals of a digital repository are preservation and dissemination, which are some how contradictory, especially if the repository follows an open approach, as it is designed, built and managed from an institutional perspective, although it is intended to be used by teachers and learners. This fact may lead to a low level of usage, as final users are not able to integrate the learning object repository into their learning process. In this paper we will discuss how to promote open educational resources by connecting open repositories with open social networks, bridging the gap between resources and final users (teachers and learners).

Adaptive intelligent agent approach to guide the web navigation on the PLAN-G distance learning platform

Hypermedia systems based on the Web for open distance education are becoming increasinglypopular as tools for user-driven access learning information. Adaptive hypermedia is a new direction in research within the area of user-adaptive systems, to increase its functionality by making it personalized [Eklu 961. This paper sketches a general agents architecture to include navigationaladaptability and user-friendly processes which would guide and accompany the student during hislher learning on the PLAN-G hypermedia system (New Generation Telematics Platform to Support Open and Distance Learning), with the aid of computer networks and specifically WWW technology [Marz 98-1] [Marz 98-2]. The PLAN-G actual prototype is successfully used with some informatics courses (the current version has no agents yet). The propased multi-agent system, contains two different types of adaptive autonomous software agents: Personal Digital Agents {Interface), to interacl directly with the student when necessary; and Information Agents (Intermediaries), to filtrate and discover information to learn and to adapt navigation space to a specific student

An empirical study of machine learning techniques applied to image watermarking

A study of how the machine learning technique, known as gentleboost, could improve different digital watermarking methods such as LSB, DWT, DCT2 and Histogram shifting.

Engaging students in an e-learning experience : how to manage information resources through wikis and web blogs

The purpose of this paper is to describe the collaboration between librarians and scholars, from a virtual university, in order to facilitate collaborative learning on how to manage information resources. The personal information behaviour of e-learning students when managing information resources for academic, professional and daily life purposes was studied from 24 semi-structured face-to-face interviews. The results of the content analysis of the interview' transcriptions, highlighted that in the workplace and daily life contexts, competent information behaviour is always linked to a proactive attitude, that is to say, that participants seek for information without some extrinsic reward or avoiding punishment. In the academic context, it was observed a low level of information literacy and it seems to be related with a prevalent uninvolved attitude.

Collage, a Collaborative Learning Design Editor Based on Patterns

This paper introduces Collage, a high-level IMS-LD compliant authoring tool that is specialized for CSCL (Computer-Supported Collaborative Learning). Nowadays CSCL is a key trend in elearning since it highlights the importance of social interactions as an essential element of learning. CSCL is an interdisciplinary domain, which demands participatory design techniques that allow teachers to get directly involved in design activities. Developing CSCL designs using LD is a difficult task for teachers since LD is a complex technical specification and modelling collaborative characteristics can be tricky. Collage helps teachers in the process of creating their own potentially effective collaborative Learning Designs by reusing and customizing patterns, according to the requirements of a particular learning situation. These patterns, called Collaborative Learning Flow Patterns (CLFPs), represent best practices that are repetitively used by practitioners when structuring the flow of (collaborative) learning activities. An example of an LD that can be created using Collage is illustrated in the paper. Preliminary evaluation results show that teachers, with experience in CL but without LD knowledge, can successfully design real collaborative learning experiences using Collage.

Computational Representation of Collaborative Learning Flow Patterns Using IMS Learning Design

The identification and integration of reusable and customizable CSCL (Computer Supported Collaborative Learning) may benefit from the capture of best practices in collaborative learning structuring. The authors have proposed CLFPs (Collaborative Learning Flow Patterns) as a way of collecting these best practices. To facilitate the process of CLFPs by software systems, the paper proposes to specify these patterns using IMS Learning Design (IMS-LD). Thus, teachers without technical knowledge can particularize and integrate CSCL tools. Nevertheless, the support of IMS-LD for describing collaborative learning activities has some deficiencies: the collaborative tools that can be defined in these activities are limited. Thus, this paper proposes and discusses an extension to IMS-LD that enables to specify several characteristics of the use of tools that mediate collaboration. In order to obtain a Unit of Learning based on a CLFP, a three stage process is also proposed. A CLFP-based Unit of Learning example is used to illustrate the process and the need of the proposed extension.

Usando um Jogo Digital na Sala de Aula do Ensino Fundamental: Visão dos Professores

A digital game was created as a resource for cognitive learning and afterwards it was used in primary schools in order to survey its active users. The methods used to recollect data were observation, in-depth interviews and focus groups. The main target of this study is to collect points of view of different primary school teachers. Conclusions show us how the group of study members perceive the use of digital games in the classroom.

Entornos e-learning como soporte de aprendizaje a la asignatura educación musical en infancia

La música es una asignatura obligatoria dentro de la etapa educativa de primaria. Hemos detectado varios profesores de distintas áreas educativas, entre ellas el área de música, que utilizan plataformas de e-learning y herramientas web como apoyo para enseñar el currículum que marca el “Departament d‟Educació de la Generalitat de Catalunya”. A partir del cuerpo de análisis se ha dibujado el panorama en plataformas de e-learning, analizando las tipologías y usos. A través de la muestra de plataformas de e-learning en educación musical se han detectado cuatro escuelas con plataformas de e-learning en fase avanzada. Se realiza un estudio de caso sobre una de estas plataformas para hacer el análisis de contenidos y validar el formato de entrevista utilizado, esto nos ha servido para crear un modelo que pueda ser utilizado en otros centros con plataforma de e-learning para la asignatura específica de música.

Data-driven topo-climatic mapping with machine learning methods

Automatic environmental monitoring networks enforced by wireless communication technologies provide large and ever increasing volumes of data nowadays. The use of this information in natural hazard research is an important issue. Particularly useful for risk assessment and decision making are the spatial maps of hazard-related parameters produced from point observations and available auxiliary information. The purpose of this article is to present and explore the appropriate tools to process large amounts of available data and produce predictions at fine spatial scales. These are the algorithms of machine learning, which are aimed at non-parametric robust modelling of non-linear dependencies from empirical data. The computational efficiency of the data-driven methods allows producing the prediction maps in real time which makes them superior to physical models for the operational use in risk assessment and mitigation. Particularly, this situation encounters in spatial prediction of climatic variables (topo-climatic mapping). In complex topographies of the mountainous regions, the meteorological processes are highly influenced by the relief. The article shows how these relations, possibly regionalized and non-linear, can be modelled from data using the information from digital elevation models. The particular illustration of the developed methodology concerns the mapping of temperatures (including the situations of Föhn and temperature inversion) given the measurements taken from the Swiss meteorological monitoring network. The range of the methods used in the study includes data-driven feature selection, support vector algorithms and artificial neural networks.

El portafolios digital como herramienta para el desarrollo de competencias transversales en el alumnado.

Partiendo de un enfoque sobre las relaciones entre las tecnologías digitales como herramientas de mediación, se analiza el papel de un caso concreto, los portafolios electrónicos, para la mejora de competencias transversales en el ámbito universitario. Los resultados indican que se obtienen mejoras, como mínimo desde la percepción de los propios estudiantes, en algunas dimensiones ligadas a la capacidad para seleccionar y organizar información, así como a la planificación del aprendizaje.