Estrutura de conteúdos educativos para TV Digital: um modelo de referência

This paper proposes a model of educative content structuring for interactive digital television programs. Its intent was to provide references for collaborative production processes and content organization in learning networks associated with university and educative television broadcasting services. The model defines terms, actors, events, environments, as well as content categories, classes and attributes, indicating criteria for their synchronic or asynchronic association in a dynamic television schedule. The model is presented in both descriptive and visual formats, with the use of conceptual maps. The results indicate that interactive use of digital television in education requires systematic content models covering communitarian participation in both media production and distribution processes, in order to enhance learning instruments beyond vertical, hierarchical and centralized communication sustained by traditional broadcast channels.

Sincronización del sistema de información de la ULPGC con Moodle

Se ha desarrollado un conjunto de extensiones para LMS (Learning Management System) Moodle que permiten sincronizar su contenido con la información académica de la ULPGC, almacenada en una base de datos institucional. Se minimiza la intervención humana, garantizando que el Campus Virtual de la ULPGC sea un reflejo de su estructura presencial, incluyendo titulaciones, asignaturas, profesores y alumnos. Se han seguido las directrices marcadas por los desarrolladores de Moodle, respetando la arquitectura de este software y utilizando la API que incorpora. Las extensiones se han desarrollado con la vista puesta en su uso por terceros, por lo que, con pequeños cambios de configuración, se pueden utilizar en cualquier instalación de Moodle con características similares a las de la ULPGC.

Study accompaniment with E-Assessments

[EN]In this paper we present our concept of a virtual classroom for mathematics lectures in the study beginning phase. It describes the two main elements the course uses within our Learning Management System. The first element is the dynamic e-tests-method and the second interactive teaching videos. The tests are already in active use. Therefore, initial experience and feedback are described. The videos are in the prototype status. Therefore here only the evaluation approaches are described.

Ecucational data mining (EDM) para la determinación de comportamientos en estudiantes de ingeniería en la modalidad virtual de UDE

[ES]En este artículo se describe la experiencia de la aplicación de técnicas de EDM (clustering) a un curso disponible en la plataforma Ude@ de la Universidad de Antioquia. El objetivo es clasificar los patrones de interacción de los estudiantes a partir de la información almacenada en la base de datos de la plataforma Moodle. Para ello, se generan informes sobre el uso de los recursos y la autoevaluación que permiten analizar el comportamiento y los patrones de navegación de los estudiantes durante el uso del LMS (Learning Management System).

Evaluation of a web-based application versus conventional instruction in the undergraduate curriculum of fixed prosthodontics

The present study aims to investigate the implications of web-based delivery of identical learning content for time efficiency and students' performance, as compared to conventional textbook resources.

IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION

The developmental processes and functions of an organism are controlled by the genes and the proteins that are derived from these genes. The identification of key genes and the reconstruction of gene networks can provide a model to help us understand the regulatory mechanisms for the initiation and progression of biological processes or functional abnormalities (e.g. diseases) in living organisms. In this dissertation, I have developed statistical methods to identify the genes and transcription factors (TFs) involved in biological processes, constructed their regulatory networks, and also evaluated some existing association methods to find robust methods for coexpression analyses. Two kinds of data sets were used for this work: genotype data and gene expression microarray data. On the basis of these data sets, this dissertation has two major parts, together forming six chapters. The first part deals with developing association methods for rare variants using genotype data (chapter 4 and 5). The second part deals with developing and/or evaluating statistical methods to identify genes and TFs involved in biological processes, and construction of their regulatory networks using gene expression data (chapter 2, 3, and 6). For the first part, I have developed two methods to find the groupwise association of rare variants with given diseases or traits. The first method is based on kernel machine learning and can be applied to both quantitative as well as qualitative traits. Simulation results showed that the proposed method has improved power over the existing weighted sum method (WS) in most settings. The second method uses multiple phenotypes to select a few top significant genes. It then finds the association of each gene with each phenotype while controlling the population stratification by adjusting the data for ancestry using principal components. This method was applied to GAW 17 data and was able to find several disease risk genes. For the second part, I have worked on three problems. First problem involved evaluation of eight gene association methods. A very comprehensive comparison of these methods with further analysis clearly demonstrates the distinct and common performance of these eight gene association methods. For the second problem, an algorithm named the bottom-up graphical Gaussian model was developed to identify the TFs that regulate pathway genes and reconstruct their hierarchical regulatory networks. This algorithm has produced very significant results and it is the first report to produce such hierarchical networks for these pathways. The third problem dealt with developing another algorithm called the top-down graphical Gaussian model that identifies the network governed by a specific TF. The network produced by the algorithm is proven to be of very high accuracy.

Adaptive Rückmeldungen im intelligenten Tutorensystem LARGO

Das intelligente Tutorensystem LARGO für die Rechtswissenschaften soll Jurastudenten helfen, Argumentationsstrategien zu lernen. Im verwendeten Ansatz werden Gerichtsprotokolle als Lernmaterialien verwendet: Studenten annotieren diese und erstellen graphische Repräsentationen des Argumentationsverlaufs. Das System kann dabei zur Reflexion über die von Anwälten vorgebrachten Argumente anregen und Lernende auf mögliche Schwächen in ihrer Analyse des Disputs hinweisen. Zur Erkennung von Schwächen verwendet das System Graphgrammatiken und kollaborative Filtermechanismen. Dieser Artikel stellt dar, wie in LARGO auf Basis der Bestimmung eines „Benutzungskontextes“ die Rückmeldungen im System benutzungsadaptiv gestaltet werden. Weiterhin diskutieren wir auf Basis der Ergebnisse einer kontrollierten Studie mit dem System, welche mit Jurastudierenden an der University of Pittsburgh stattfand, in wie weit der automatisch bestimmte Benutzungskontext zur Vorhersage von Lernerfolgen bei Studenten verwendbar ist.

Projektbericht: VITA

In traditionellen Übungsarrangements (z.B. handkorrigierte Hausaufgaben oder vorlesungsbegleitende Übungsgruppen) erhalten Studierende ihre Ergebnisse mit Zeitverzögerung, während der Kurs inzwischen fortschreitet. Dadurch besteht die Gefahr, dass Defizite nicht wahrgenommen oder nicht korrigiert werden. Traditionelle Übungsarrangements erfordern bei sinnvollem Einsatz (v. a. kleine Übungsgruppe) eine Personalkapazität, wie sie insbesondere an Fachhochschulen nicht existiert. Ein zweites Problem, das zum Teil infolge des mangelnden Übens auftritt, besteht darin, dass viele Studierende Lehrveranstaltungen nicht nachbereiten. Viele Studierende versuchen stattdessen, sich den Vorlesungsstoff in einem kurzen Zeitraum vor der Prüfung anzueignen, was, wenn es überhaupt gelingt, nicht zu einer nachhaltigen Verankerung der Inhalte führt. In der Folge fehlen in den Nachfolgeveranstaltungen die Grundlagen, die in den vorausgegangenen Veranstaltungen hätten gelegt werden sollen.

Using Moodle as a support tool for teaching in Higher Education in Portugal: an exploratory study

The use of virtual learning environments in Higher Education (HE) has been growing in Portugal, driven by the Bologna Process. An example is the use of Learning Management Systems (LMS) that translates an opportunity to leverage the use of technological advances in the educational process. The progress of information and communication technologies (ICT) coupled with the great development of Internet has brought significant challenges to educators that require a thorough knowledge of their implementation process. These field notes present the results of a survey among teachers of a private HE institution in its use of Moodle as a tool to support face-to-face teaching. A research methodology essentially of exploratory nature based on a questionnaire survey, supported by statistical treatment allowed to detect motivations, type of use and perceptions of teachers in relation to this kind of tool. The results showed that most teachers, by a narrow margin (58%), had not changed their pedagogical practice as a consequence of using Moodle. Among those that did 67% attended institutional internal training. Some of the results obtained suggest further investigation and provide guidelines to plan future internal training.

Barriers to a wider Implementation of LMS in Higher Education: a Swedish case study, 2006-2011

This article investigates barriers to a wider utilization of a Learning Management System (LMS). The study aims to identify the reasons why some tools in the LMS are rarely used, in spite of assertions that the learning experience and students’ performance can be improved by interaction and collaboration, facilitated by the LMS. Lecturers’ perceptions about the use of LMSs over the last four years at the School of Engineering, University of Borås were investigated. Seventeen lecturers who were interviewed in 2006 were interviewed again in 2011. The lecturers’ still use the LMS primarily for distribution of documents and course administration. The results indicate that their attitudes have not changed significantly. The apparent reluctance to utilize interactive features in the LMS is analyzed, by looking at the expected impact on the lecturers’ work situation. The author argues that the main barrier to a wider utilization of LMS is the lecturers’ fear of additional demands on their time. Hence, if educational institutions want a wider utilization of LMS, some kind of incentives for lecturers are needed, in addition to support and training.

Plattform Musikalische Bildung

Bei der Plattform Musikalische Bildung handelt es sich um ein Projekt der Hochschule für Musik Detmold. Die Plattform vereinigt in sich Ideen zum vernetzten Musiklernen, neu entwickelten Online-Musiklern-Tools sowie den Austausch und die Modifizierung dieser erstellten Kurse durch andere Dozenten und Lehrenden. Die Plattform steht allen Dozenten und Lehrern, Studierenden und Schülern an Hochschulen, aber auch Musikschulen und allgemein bildenden Schulen kostenlos zur Verfügung. Auf die Einblendung von Werbebannern wird verzichtet. Die Inbetriebnahme einer Betaversion ist im Oktober 2014 erfolgt. Weitere Ausbaustufen sind in Planung aber noch nicht gegenfinanziert.

The Position of xMOOCs in Educational Systems

The idea of xMOOCs initially aimed at fundamentally changing the US tertiary education system by providing open mass education. This attempt failed for a number of reasons. They include: the ignorance of the importance and benefits of face-to-face instruction, the high workload imposed on students by xMOOCs, the consequences of current xMOOC didactics, the financing of the high costs, and the difficulties of integration into the teaching organization. As a consequence, xMOOCs are turning into methods for professional continuing education including a business model that covers the institution’s cost.

ProFormA: An XML-based exchange format for programming tasks

Unterstützungssysteme für die Programmierausbildung sind weit verbreitet, doch gängige Standards für den Austausch von allgemeinen (Lern-) Inhalten und Tests erfüllen nicht die speziellen Anforderungen von Programmieraufgaben wie z. B. den Umgang mit komplexen Einreichungen aus mehreren Dateien oder die Kombination verschiedener (automatischer) Bewertungsverfahren. Dadurch können Aufgaben nicht zwischen Systemen ausgetauscht werden, was aufgrund des hohen Aufwands für die Entwicklung guter Aufgaben jedoch wünschenswert wäre. In diesem Beitrag wird ein erweiterbares XML-basiertes Format zum Austausch von Programmieraufgaben vorgestellt, das bereits von mehreren Systemen prototypisch genutzt wird. Die Spezifikation des Austauschformats ist online verfügbar [PFMA].

A proposal for enhancing the motivation in students of computer programming

Computer programming is known to be one of the most difficult courses for students in the first year of engineering. They are faced with the challenge of abstract thinking and gaining programming skills for the first time. These skills are acquired by continuous practicing from the start of the course. In order to enhance the motivation and dynamism of the learning and assessment processes, we have proposed the use of three educational resources namely screencasts, self-assessment questionnaires and automated grading of assignments. These resources have been made available in Moodle which is a Learning Management System widely used in education environments and adopted by the Telecommunications Engineering School at the Universidad Politécnica de Madrid (UPM). Both teachers and students can enhance the learning and assessment processes through the use of new educational activities such as self-assessment questionnaires and automated grading of assignments. On the other hand, multimedia resources such as screencasts can guide students in complex topics. The resources proposed allow teachers to improve their tutorial actions since they provide immediate feedback and comments to students without the enormous effort of manual correction and evaluation by teachers specially taking into account the large number of students enrolled in the course. In this paper we present the case study where three proposed educational resources were applied. We describe the special features of the course and explain why the use of these resources can both enhance the students? motivation and improve the teaching and learning processes. Our research work was carried out on students attending the "Computer programming" course offered in the first year of a Telecommunications Engineering degree at UPM. This course is mandatory and has more than 450 enrolled students. Our purpose is to encourage the motivation and dynamism of the learning and assessment processes.

Estudio de patrones de interacción entre los estudiantes y la Plataforma de Tele-Enseñanza en la UPM

Vivimos en una sociedad en la que la información ha adquirido una vital importancia. El uso de Internet y el desarrollo de nuevos sistemas de la información han generado un ferviente interés tanto de empresas como de instituciones en la búsqueda de nuevos patrones que les proporcione la clave del éxito. La Analítica de Negocio reúne un conjunto de herramientas, estrategias y técnicas orientadas a la explotación de la información con el objetivo de crear conocimiento útil dentro de un marco de trabajo y facilitar la optimización de los recursos tanto de empresas como de instituciones. El presente proyecto se enmarca en lo que se conoce como Gestión Educativa. Se aplicará una arquitectura y modelo de trabajo similar a lo que se ha venido haciendo en los últimos años en el entorno empresarial con la Inteligencia de Negocio. Con esta variante, se pretende mejorar la calidad de la enseñanza, agilizar las decisiones dentro de la institución académica, fortalecer las capacidades del cuerpo docente y en definitiva favorecer el aprendizaje del alumnado. Para lograr el objetivo se ha decidido seguir las etapas del Knowledge Discovery in Databases (KDD), una de las metodologías más conocidas dentro de la Inteligencia de Negocio, que describe el procedimiento que va desde la selección de la información y su carga en sistemas de almacenamiento, hasta la aplicación de técnicas de minería de datos para la obtención nuevo conocimiento. Los estudios se realizan a partir de la información de la activad de los usuarios dentro la plataforma de Tele-Enseñanza de la Universidad Politécnica de Madrid (Moodle). Se desarrollan trabajos de extracción y preprocesado de la base de datos en crudo y se aplican técnicas de minería de datos. En la aplicación de técnicas de minería de datos, uno de los factores más importantes a tener en cuenta es el tipo de información que se va a tratar. Por este motivo, se trabaja con la Minería de Datos Educativa, en inglés, Educational Data Mining (EDM) que consiste en la aplicación de técnicas de minería optimizadas para la información que se genera en entornos educativos. Dentro de las posibilidades que ofrece el EDM, se ha decidido centrar los estudios en lo que se conoce como analítica predictiva. El objetivo fundamental es conocer la influencia que tienen las interacciones alumno-plataforma en las calificaciones finales y descubrir nuevas reglas que describan comportamientos que faciliten al profesorado discriminar si un estudiante va a aprobar o suspender la asignatura, de tal forma que se puedan tomar medidas que mejoren su rendimiento. Toda la información tratada en el presente proyecto ha sido previamente anonimizada para evitar cualquier tipo de intromisión que atente contra la privacidad de los elementos participantes en el estudio. ABSTRACT. We live in a society dominated by data. The use of the Internet accompanied by developments in information systems has generated a sustained interest among companies and institutions to discover new patterns to succeed in their business ventures. Business Analytics (BA) combines tools, strategies and techniques focused on exploiting the available information, to optimize resources and create useful insight. The current project is framed under Educational Management. A Business Intelligence (BI) architecture and business models taught up to date will be applied with the aim to accelerate the decision-making in academic institutions, strengthen teacher´s skills and ultimately improve the quality of teaching and learning. The best way to achieve this is to follow the Knowledge Discovery in Databases (KDD), one of the best-known methodologies in B.I. This process describes data preparation, selection, and cleansing through to the application of purely Data Mining Techniques in order to incorporate prior knowledge on data sets and interpret accurate solutions from the observed results. The studies will be performed using the information extracted from the Universidad Politécnica de Madrid Learning Management System (LMS), Moodle. The stored data is based on the user-platform interaction. The raw data will be extracted and pre-processed and afterwards, Data Mining Techniques will be applied. One of the crucial factors in the application of Data Mining Techniques is the kind of information that will be processed. For this reason, a new Data Mining perspective will be taken, called Educational Data Mining (EDM). EDM consists of the application of Data Mining Techniques but optimized for the raw data generated by the educational environment. Within EDM, we have decided to drive our research on what is called Predictive Analysis. The main purpose is to understand the influence of the user-platform interactions in the final grades of students and discover new patterns that explain their behaviours. This could allow teachers to intervene ahead of a student passing or failing, in such a way an action could be taken to improve the student performance. All the information processed has been previously anonymized to avoid the invasion of privacy.