Tecnolog??as y modelos de aprendizaje emergentes en educaci??n superior : propuestas y difusi??n de innovaciones

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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.

Los Massive Open On line Courses (MOOCs) como extensi??n universitaria

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De la clase magistral tradicional al MOOC : doce a??os de evoluci??n de una asignatura sobre programaci??n de aplicaciones web

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The impact and reach of MOOCs:a developing countries’ perspective

Massively Open Online Courses (MOOCs) are a recent but hugely popular phenomenon in the online learning world. They are hailed by many as a solution for the developing world’s lack of access to education because MOOCs can provide learning opportunities to a massive number of learners from anywhere in the world as long as they can access the course through Internet. However, a close consideration of the ability of learn- ers from most developing countries to make use of MOOCs seems to contradict this rhetoric. This paper discusses features of MOOCs and looks at them from a developing countries’ perspective to conclude that due to a complicated set of conditions (‘access’, language, computer literacy among others) prevailing in developing countries, MOOCs may not be a viable solution for education for a large proportion of people in these ar- eas of the world. The paper further shows the need for more data on the demograph- ics of MOOC participants from developing countries to form a better understanding of MOOCs role in educating people from developing countries.

Design patterns for promoting peer interaction in discussion forums in MOOCs

Design patterns are a way of sharing evidence-based solutions to educational design problems. The design patterns presented in this paper were produced through a series of workshops, which aimed to identify Massive Open Online Course (MOOC) design principles from workshop participants’ experiences of designing, teaching and learning on these courses. MOOCs present a challenge for the existing pedagogy of online learning, particularly as it relates to promoting peer interaction and discussion. MOOC cohort sizes, participation patterns and diversity of learners mean that discussions can remain superficial, become difficult to navigate, or never develop beyond isolated posts. In addition, MOOC platforms may not provide sufficient tools to support moderation. This paper draws on four case studies of designing and teaching on a range of MOOCs presenting seven design narratives relating to the experience in these MOOCs. Evidence presented in the narratives is abstracted in the form of three design patterns created through a collaborative process using techniques similar to those used in collective autoethnography. The patterns: “Special Interest Discussions”, “Celebrity Touch” and “Look and Engage”, draw together shared lessons and present possible solutions to the problem of creating, managing and facilitating meaningful discussion in MOOCs through the careful use of staged learning activities and facilitation strategies.

The Impact of Teaching Presence in Intensive Online Courses on Perceived Learning and Sense of Community: A Mixed Methods Study

This mixed methods concurrent triangulation design study was predicated upon two models that advocated a connection between teaching presence and perceived learning: the Community of Inquiry Model of Online Learning developed by Garrison, Anderson, and Archer (2000); and the Online Interaction Learning Model by Benbunan-Fich, Hiltz, and Harasim (2005). The objective was to learn how teaching presence impacted students’ perceptions of learning and sense of community in intensive online distance education courses developed and taught by instructors at a regional comprehensive university. In the quantitative phase online surveys collected relevant data from participating students (N = 397) and selected instructional faculty (N = 32) during the second week of a three-week Winter Term. Student information included: demographics such as age, gender, employment status, and distance from campus; perceptions of teaching presence; sense of community; perceived learning; course length; and course type. The students claimed having positive relationships between teaching presence, perceived learning, and sense of community. The instructors showed similar positive relationships with no significant differences when the student and instructor data were compared. The qualitative phase consisted of interviews with 12 instructors who had completed the online survey and replied to all of the open-response questions. The two phases were integrated using a matrix generation, and the analysis allowed for conclusions regarding teaching presence, perceived learning, and sense of community. The findings were equivocal with regard to satisfaction with course length and the relative importance of the teaching presence components. A model was provided depicting relationships between and among teaching presence components, perceived learning, and sense of community in intensive online courses.

Massive open star clusters using the VVV survey III. A young massive cluster at the far edge of the Galactic bar

Context. Young massive clusters are key to map the Milky Way’s structure, and near-infrared large area sky surveys have contributed strongly to the discovery of new obscured massive stellar clusters. Aims. We present the third article in a series of papers focused on young and massive clusters discovered in the VVV survey. This article is dedicated to the physical characterization of VVV CL086, using part of its OB-stellar population. Methods. We physically characterized the cluster using JHKS near-infrared photometry from ESO public survey VVV images, using the VVV-SkZ pipeline, and near-infrared K-band spectroscopy, following the methodology presented in the first article of the series. Results. Individual distances for two observed stars indicate that the cluster is located at the far edge of the Galactic bar. These stars, which are probable cluster members from the statistically field-star decontaminated CMD, have spectral types between O9 and B0 V. According to our analysis, this young cluster (1.0 Myr < age < 5.0 Myr) is located at a distance of 11+5-6 kpc, and we estimate a lower limit for the cluster total mass of (2.8+1.6-1.4) · 103 M⊙. It is likely that the cluster contains even earlier and more massive stars.

Características de los ambientes de aprendizaje online para una práctica docente de calidad. Indicadores de evaluación

Contribuir a la mejora de la calidad de la enseñanza y de los resultados de aprendizaje constituye uno de los retos en el sistema universitario actual que exige un gran esfuerzo de coordinación en las acciones de investigación e innovación a desarrollar. Para alcanzar este propósito, desde el grupo de investigación EDUTIC-ADEI (VIGROB-039) de la Universidad de Alicante se ha promovido la constitución de una red docente interdepartamental e interuniversitaria que pretende investigar sobre cómo debe ser la enseñanza online que se desarrolla en el ámbito universitario. Para ello, se ha abordado el concepto de ambiente de aprendizaje en este contexto virtual con el fin de delimitar los parámetros que deben definir una enseñanza de calidad cuando hablamos de e-learning, Masive Open Online Courses [MOOCs], Personal Learning Environment [PLE], etc. La investigación, pues, ahonda en los aspectos curriculares que conforman dichos ambientes de aprendizaje online con el fin de delimitar los parámetros de una enseñanza virtual de calidad.

Consideraciones iniciales del cambio de metodología presencial a MOOC. El caso de Sistemas Inteligentes

La evolución tecnológica afecta a todas las parcelas de actividad humana. Entre los aspectos más sensibles a esta evolución se encuentran la enseñanza y el aprendizaje tanto por su impacto en las competencias profesionales como por su uso para mejorar la calidad y relevancia de la docencia. Los profesores deben asumir un papel director ante esta situación que con el tiempo gana en protagonismo, siendo fundamental abordar la adaptación al cambio metodológico que supone la emergencia de la docencia on-line y la cada vez mayor presencia de los MOOC (acrónimo en inglés de massive open online course). En este trabajo se analiza la docencia on-line de materias de Inteligencia Artificial (IA), utilizando el paradigma de los MOOC como referencia. A tal fin, se revisan las características de los MOOC, sus aspectos metodológicos y sistemas de evaluación. Se particulariza el estudio de los MOOC en IA comparándolos con el enfoque de carácter presencial de la asignatura Sistemas Inteligentes. El objetivo de este trabajo es determinar los aspectos que deberían reenfocarse en esta materia bajo el paradigma MOOC. Deseamos destacar el soporte de la “Red de Investigación en Sistemas Inteligentes. Revisión de objetivos y contenidos de IA en el grado de Ingeniería Informática dentro del EESS” Código de Red ICE: 3300.

Segurança na internet para encarregados de educação : desenvolvimento de um MOOC

Trabalho de projeto de mestrado, Educação e Formação (Área de especialização em E-Learning e Formação a Distância), Universidade de Lisboa, Instituto de Educação, 2016

Cross-institutional development of an online open course for educators:confronting current challenges and imagining future possibilities

The Global Dimensions in Higher Education module is a fully online open course for educators, jointly developed by three UK universities through a process of consultation and inquiry involving colleagues within the global education sector. The purpose of the module is two-fold. Firstly, to engage academics within and beyond the partner institutions in a critical exploration of transnational and global issues within higher education. Secondly, to provide the project partners with an opportunity to understand and address the challenges of jointly developing and delivering an online course that is to be offered both openly as well as integrated within credit-bearing and continued professional development provision for academics in the partner institutions. This short paper describes progress to date in developing the Global Dimensions in Higher Education module, our current activity focused on validating and implementing the module, and lessons learned to be considered for the collaborative development of open online courses.

How should we measure online learning activity?

The proliferation of Web-based learning objects makes finding and evaluating resources a considerable hurdle for learners to overcome. While established learning analytics methods provide feedback that can aid learner evaluation of learning resources, the adequacy and reliability of these methods is questioned. Because engagement with online learning is different from other Web activity, it is important to establish pedagogically relevant measures that can aid the development of distinct, automated analysis systems. Content analysis is often used to examine online discussion in educational settings, but these instruments are rarely compared with each other which leads to uncertainty regarding their validity and reliability. In this study, participation in Massive Open Online Course (MOOC) comment forums was evaluated using four different analytical approaches: the Digital Artefacts for Learning Engagement (DiAL-e) framework, Bloom's Taxonomy, Structure of Observed Learning Outcomes (SOLO) and Community of Inquiry (CoI). Results from this study indicate that different approaches to measuring cognitive activity are closely correlated and are distinct from typical interaction measures. This suggests that computational approaches to pedagogical analysis may provide useful insights into learning processes.