José-Javier Martínez

Complete metadata records in learning object repositories: some evidence and requirements

Completeness of e-learning objects metadata records becomes a key requirement for learning object repositories, since these repositories are called to play a central role in automated approaches to e-learning. Nonetheless, metadata creation is a time-consuming and laborious process. These two factors may eventually result in incomplete and poorly structured metadata. In this paper, the completeness of learning object metadata of samples obtained from the MERLOT and CAREO repositories is analysed from that viewpoint, using the IEEE LOM standard as a reference framework. The paper concludes with a proposal for the specification of completeness levels as compliancy requirements for learning-related services or processes.

Implicitization of rational surfaces by means of polynomial interpolation

A method for finding the implicit equation of a surface given by rational parametric equations is presented. The method is based on an efficient computation of the resultant by means of classical multivariate polynomial interpolation. The used approach considerably reduces the problem of intermediate expression swell and it can easily be implemented in parallel.

Competency-Based Learning Object Sequencing Using Particle Swarms

This paper describes the process of learning taxonomic relations automatically from Modern Greek economic corpora. Supervised learning (Decision trees, Support Vector Machines, Meta-learning) is applied to economic term pairs; each pair is represented through a set of statistical, semantic and syntactic features. The resulting set of feature-value vectors presents a high imbalance in the class distribution, due to the large number of term pairs that do not present a direct semantic relation. This problem is addressed using One-sided Sampling, which reduces the number of the majority class instances by removing examples that are noisy, misleading or redundant. The approach makes use of no external resources (merely an economic corpus that is annotated with elementary morphological and phrase chunking information) and limited language-dependent elements to facilitate its portability to other languages and domains. An overall f-measure of 71 % is achieved.In e-learning initiatives, sequencing problem concerns arranging a particular set of learning units in a suitable succession for a particular learner. Sequencing is usually performed by instructors, who create general and ordered series rather than learner personalized sequences. This paper proposes an innovative intelligent technique for learning object automated sequencing using particle swarms. E-learning standards are promoted in order to ensure interoperability. Competencies are used to define relations between learning objects within a sequence, so that the sequencing problem turns into a permutation problem and AI techniques can be used to solve it. Particle Swarm Optimization (PSO) is one of such techniques and it has proven with good performance solving a wide variety of problems. An implementation of the PSO, for learning object sequencing, is presented and its performance in a real scenario is discussed.

Swarm intelligence in e-learning: a learning object sequencing agent based on competencies

In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course materials are usually divided into reusable chunks called Learning Objects (LOs) and the ordered set of LOs is called sequence, so the process is called LO sequencing. In this paper an intelligent agent that performs the LO sequencing process is presented. Metadata and competencies are used to define relations between LOs so that the sequencing problem can be characterized as a Constraint Satisfaction Problem (CSP) and artificial intelligent techniques can be used to solve it. A Particle Swarm Optimization (PSO) agent is proposed, built, tuned and tested. Results show that the agent succeeds in solving the problem and that it handles reasonably combinatorial explosion inherent to this kind of problems.

Parallel computation of determinants of matrices with polynomial entries

Abstract An algorithm for computing the determinant of a matrix whose entries are multivariate polynomials is presented. It is based on classical multivariate Lagrange polynomial interpolation, and it exploits the Kronecker product structure of the coefficient matrix of the linear system associated with the interpolation problem. From this approach, the parallelization of the algorithm arises naturally. The reduction of the intermediate expression swell is also a remarkable feature of the algorithm.

A Critical Analysis of EU-Funded eParticipation

This chapter reflects, from a holistic perspective, on the challenges surrounding the development of eParticipation in Europe, with special focus on EU programmes. To this end, first, we assess the field’s practical and theoretical achievements and limitations, and corroborate that the progress of eParticipation in the last decade has not been completely satisfactory in spite of the significant share of resources invested to support it. Second, we attempt to diagnose and shed light on some of the field’s systemic problems and challenges which are responsible for this lack of development. The domain’s maladies are grouped under tree main categories: (1) lack of a proper understanding and articulation with regard to the ‘participation’ field, (2) eParticipation community’s ‘founding biases’ around eGovernment and academy, and (3) inadequacy of traditional innovation support programmes to incentivize innovation in the field. In the context of the ‘Europe 2020 Strategy’, the final section provides several recommendations that should contribute to enhance the effectiveness of future European eParticipation actions.

A System for Adaptation of Educational Contents to Learners and their Mobile Device

In this paper we propose a system that allows to adapt educational contents to learners, based on the knowledge of a learner who is conducting the training through his mobile device, contents will also be tailored to the features of the device and to the context where the learner is at the present moment.

Evaluating Simple Query Interface Compliance in Public Repositories

Standards and specifications widely accepted and used lay the foundations to enable and facilitate the interoperability among systems, and the software maintenance and reuse, especially within the scope of learning objects’ search systems. One of these standards is the SQI (Standard Query Interface) specification by the European Committee for Standardization in which many search systems, including public ones, are based. This paper analyzes the degree of compliance with this specification by a significant number of learning objects repositories.

Assessment design: A step towards interoperability

The assessment in e‐learning systems is a basic element to successfully complete any formative action. In this article we present a generic, flexible, interoperable and reusable language for design assessments, and its implementation in the EDVI Learning Management System. This language is based on XML and we have used XML Schema technology. We also describe the language attributes required to set the assessment plan based on our practical experience in e‐learning courses. The main purpose of this language is to make the assessment design interoperable among systems in a simple and efficient way. An adequate implementation will also reduce the time required to configure assessment activities, simplifying and automating them.

Lesions Associated with Postweaning Multisystemic Wasting Syndrome in Pigs from Prince Edward Island, Canada

Postweaning multisystemic wasting syndrome (PMWS) is a recently recognized swine disease originally reported in western Canada.2,9 Retrospective postmortem studies revealed that this condition first appeared in 1991, but it was not recognized as a specific disease until 1996.9 A similar syndrome has been described recently in pigs from the United States4,11 and Europe.1 The etiology of this syndrome is still under investigation, but porcine circovirus (PCV), a member of the family Circoviridae that includes chicken anemia virus, psittacine beak and feather disease virus, and a newly described pigeon circovirus,15 is thought to play an important role in the pathogenesis of this condition. The purpose of this paper is to describe and illustrate the most common microscopic findings associated with PMWS in pigs and to report the presence of PMWS in swine herds from Atlantic Canada. Six pigs, 5–12 weeks of age, from four swine herds located in Prince Edward Island were submitted to the Atlantic Veterinary College for postmortem examination. Five pigs were alive and one (pig no. 3) had been found dead in its pen. Pig nos. 2 and 3 and pig nos. 5 and 6 were herdmates. All pigs had a history of weight loss, dyspnea, and/or scouring, first noticed 1 or 2 weeks after weaning. Blood samples were obtained from live pigs prior to euthanasia. Complete postmortem examination was performed, and tissues were selected for histopathology, bacteriologic culture, and virologic analysis. Tissues for histopathology were fixed in 10% neutral buffered formalin, embedded in paraffin, cut at 5 mm, and stained with hematoxylin and eosin. In two cases, formalin-fixed tissue was fixed in 2% glutaraldehyde and postfixed in 1% osmium tetroxide, dehydrated in a graded series of ethanol, and infiltrated and embedded in epon/araldite for sectioning and examination by transmission electron microscopy. Thin sections were stained with a saturated solution of uranyl acetate and Sato lead stain. Tissues from five pigs (nos. 1, 2, 3, 5, and 6) were sent to the Veterinary Services Branch of Manitoba Agriculture for the detection of pathogenic PCV by polymerase chain reaction (PCR).8 Porcine reproductive and respiratory syndrome (PRRS) serology was done on serum of two pigs by an indirect fluorescent antibody test (IFAT) that was developed in house. Gradual dilutions of the test serum were made and reacted with PRRS virus (PRRSV)-infected MARC cells, washed, mounted, and evaluated by fluorescent microscopy. Lungs from three pigs and lymph nodes from two others were tested for the pres-