Visual Literacy Standards in Higher Education: New Opportunities for Libraries and Student Learning

Visual literacy is essential for 21st century learners. Across the higher education curriculum, students are being asked to use and produce images and visual media in their academic work, and they must be prepared to do so. The Association of College and Research Libraries has published the Visual Literacy Competency Standards for Higher Education, which for the first time, outline specific visual literacy learning outcomes. These Standards present new opportunities for libraries to expand their role in student learning through standards-based teaching and assessment, and to contribute to campus-wide collaborative efforts to develop students’ skills and critical thinking with regard to visual materials.

Implementation of Distant Learning Portals based on CASE-technology METAS

The paper describes an approach to the development of software aimed at the creation of distant learning portals integrated with education support and educational institution management systems. The software being developed is based on CASE-technology METAS which is used for the creation of adaptive distributed information systems. This technology allows to dynamically adjust the portal’s structure and portal’s functionality enhancements.

Social Media Use in Medical and Health Professional Education: Role of the Librarian on a Faculty Steering Committee

Objective: An interprofessional steering committee was created at Université de Montréal’s Faculty of Medicine to examine how social media are integrated in medical and health professional education in universities across the globe, and to propose a strategic plan for integrating social media in the Faculty’s various curricula. This presentation will summarize the steering committee’s work and describe the librarian’s contribution. Methods: The Committee’s project leader first conducted a literature search on best practices of social media in medical and health professional curricula. A reference website was then created (mse.med.umontreal.ca) to provide easy access to a large number of the articles and resources reviewed. A steering committee was constituted and 11 meetings were held over a 9-month period. The Committee comprised 18 members and included assistant deans, academic program directors, professors, communication advisors, undergraduate and graduate students and a librarian. An online survey on social media use by students and professors of the Faculty was conducted, ten pilot projects were put forward and a three-year strategic plan was proposed. Results: A total of 1508 students and 565 professors participated in the survey. Results showed that both groups had a strong interest in learning how social media could be integrated in academic and professional activities. Participants reported concern with risks associated with social media use and expressed the need for a Faculty policy and guidelines. The librarian’s contribution to the steering committee included: writing posts on the website’s internal blog, assisting in the design of the survey questionnaires and writing the final report’s survey results chapter. She also proposed two pilot projects: creating a social media learning portal and an altmetrics workshop. Conclusions: Based on the literature review and the survey results, the Committee affirmed the importance of integrating social media in the various study programs of the Faculty of Medicine. Despite the restricted timeline, this interprofessional steering committee was able to carry out its mandate because of the leadership and expertise of each of its members. As the librarian had the most experience with the use of social media in a professional context, her knowledge was instrumental in assisting the project leader in a group mainly composed of social media non-users.

Scitable - Learn Science with Nature Education

Scitable is an open online teaching/learning portal combining high quality educational articles authored by editors at NPG with technology-based community features to fuel a global exchange of scientific insights, teaching practices, and study resources. Scitable currently contains articles in the field of genetics, and is intended for college undergraduate faculty and students. Future plans involve extension of Scitable to other fields within the life sciences, as well as to other audiences. Scitable brings together a library of scientific overviews with a worldwide community of scientists, researchers, teachers and students. Nature Education is a new division of Nature Publishing Group devoted to facilitating high quality, innovative, accessible science education in all countries of the world.

Laboratório remoto de qualidade da energia elétrica em ambiente virtual

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema de e-learning en el entorno AFRICA BUILD Portal

Diversos estudios consideran que las claves para el desarrollo técnico, social y económico de los países en desarrollo, y en especial en África, son la educación, la investigación y la innovación. No obstante, en el ámbito sanitario en particular, la formación e investigación en África sigue siendo escasa por diversos motivos. Por un lado, los investigadores africanos encuentran dificultades añadidas para obtener financiación frente a investigadores en países de desarrollo. Y, por otro lado, los investigadores no disponen de las herramientas y tecnologías adecuadas para acceder a información relevante para su trabajo. En este contexto, el proyecto AFRICA BUILD tiene como principal objetivo mejorar y fomentar la investigación y educación sanitaria en África a través de las nuevas tecnologías. Uno de los resultados principales de este proyecto es el AFRICA BUILD Portal (ABP), que pretende ser un punto de encuentro para los investigadores africanos, donde podrán encontrar un amplio abanico de herramientas que les permita no sólo mejorar su educación, sino compartir conocimientos con otros investigadores. Este portal, que está actualmente en desarrollo, pretende fomentar la comunicación entre instituciones africanas y les proveerá herramientas biomédicas avanzadas. En este Trabajo de Fin de Grado se han marcado como principal objetivo la mejora del sistema de e-learning que existía en el ABP. El nuevo sistema será: (i) más potente, óptimo y rico en funcionalidades, (ii) tendrá una importante base social permitiendo a los usuarios aportar información y compartir conocimiento, y (iii) será distribuido y escalable, capaz de integrar distintos gestores de contenidos didácticos como fuentes de información. Los resultados obtenidos son positivos y el nuevo sistema de aprendizaje ha mejorado la usabilidad, funcionalidad y apariencia del anterior. Para concluir, la herramienta posee aún un gran margen de mejora, pero gracias al trabajo realizado el sistema de e-learning es ahora más social, distribuido, escalable e innovador. ---ABSTRACT---Several studies find that the keys to the technical, social and economic development of developing countries, especially in Africa, are education, research and innovation. However, in the health sector in particular, training and research in Africa remains low for various reasons. On the one hand, African researchers experience additional difficulties for funding against researchers in developing countries. And on the other hand, researchers do not have the right tools and technologies to access information relevant to their work. In this context, the AFRICA BUILD project's main objective is to improve and enhance research and health education in Africa through new technologies. One of the main results of this project is the AFRICA BUILD Portal (ABP), which aims to be a meeting point for African researchers, where they can find a wide range of tools that allows them to not only improve their education but to share knowledge with other researchers. This portal, which is currently under development, aims to promote communication between African institutions and will provide advanced biomedical tools. The main objective of this Final Year Project is the improvement of the former elearning system that already existed in the ABP. The new system will be: (i) more powerful, richer in features, (ii) will have an important social base allowing users to contribute information and knowledge sharing; and (iii) will be distributed and scalable, capable of integrating different learning management systems as sources of information. The final results obtained are fairly positive and the new e-learning system has improved its usability, functionality and appearance of the former. To conclude, the tool still has much room for improvement, but thanks to the new features of the improved elearning system has become more social, distributed, scalable and innovative.

Aplicación Móvil orientada a M-Learning e implementación de una capa de Servicios Web para el acceso remoto para la plataforma AFRICA BUILD Portal.

El presente Trabajo de Fin de Grado (TFG) se enmarca dentro del proyecto AFRICA BUILD. Dicho proyecto tiene como objetivo principal fomentar la investigación y fortalecer las capacidades de cuatro centros de educación superior en África a través de las TIC. Para cumplir este objetivo se ha diseñado el sistema AFRICA BUILD Portal (ABP). El ABP consiste en una solución web basada en “e-learning” para estudiantes, profesores e investigadores dentro del continente africano. El objetivo de este TFG consiste en ampliar la accesibilidad y el uso del portal a través de dispositivos móviles. La solución propuesta en este TFG consiste en el desarrollo de dos soluciones que complementan el ABP: (I) una capa de servicios web para el portal y (II) la versión App para dispositivos móviles del mismo. Cabe destacar la relación existente entre ambas soluciones ya que la segunda necesita de la primera para poder funcionar y comunicarse así con el portal.

CTCombine : rotating and combining CT data with an accurate detector model, to simulate radiotherapy portal imaging at non-zero beam angles

Established Monte Carlo user codes BEAMnrc and DOSXYZnrc permit the accurate and straightforward simulation of radiotherapy experiments and treatments delivered from multiple beam angles. However, when an electronic portal imaging detector (EPID) is included in these simulations, treatment delivery from non-zero beam angles becomes problematic. This study introduces CTCombine, a purpose-built code for rotating selected CT data volumes, converting CT numbers to mass densities, combining the results with model EPIDs and writing output in a form which can easily be read and used by the dose calculation code DOSXYZnrc. The geometric and dosimetric accuracy of CTCombine’s output has been assessed by simulating simple and complex treatments applied to a rotated planar phantom and a rotated humanoid phantom and comparing the resulting virtual EPID images with the images acquired using experimental measurements and independent simulations of equivalent phantoms. It is expected that CTCombine will be useful for Monte Carlo studies of EPID dosimetry as well as other EPID imaging applications.

Investigating the process of teaching and learning principles through practice : a case study on collegiate action by media practitioners and teachers, designing a skills-based learning program

This paper in the journalism education field reports on the construction of a new subject as part of a postgraduate coursework degree. The subject, or unit1 will offer both Journalism students and other students an introductory experience of creating media, using common ‘new media’ tools, with exercises that will model the learning of communication principles through practice. It has been named ‘Fundamental Media Skills for the Workplace’. The conceptualisation and teaching of it will be characteristic of the Journalism academic discipline that uses the ‘inside perspective’—understanding mass media by observing from within. Proposers for the unit within the Journalism discipline have sought to extend the common teaching approach, based on training to produce start-ready recruits for media jobs, backed by a study of contexts, e.g. journalistic ethics, or media audiences. In this proposal, students would then examine the process to elicit additional knowledge about their learning. The paper draws on literature of journalism and its pedagogy, and on communication generally. It also documents a ‘community of practice’ exercise conducted among practitioners as teachers for the subject, developing exercises and models of media work. A preliminary conclusion from that exercise is that it has taken a step towards enhancing skills-based learning for media work, as a portal to more generalised knowledge.

Accurately simulating the production of radiotherapy portal images using non-zero beam angles

In this study, the delivery and portal imaging of one square-field and one conformal radiotherapy treatment was simulated using the Monte Carlo codes BEAMnrc and DOSXYZnrc. The treatment fields were delivered to a humanoid phantom from different angles by a 6 MV photon beam linear accelerator, with an amorphous-silicon electronic portal imaging device (a-Si EPID) used to provide images of the phantom generated by each field. The virtual phantom preparation code CTCombine was used to combine a computed-tomography-derived model of the irradiated phantom with a simple, rectilinear model of the a-Si EPID, at each beam angle used in the treatment. Comparison of the resulting experimental and simulated a-Si EPID images showed good agreement, within \[gamma](3%, 3 mm), indicating that this method may be useful in providing accurate Monte Carlo predictions of clinical a-Si EPID images, for use in the verification of complex radiotherapy treatments.

CTCombine : rotating and combining CT data with an accurate detector model to simulate radiotherapy portal imaging at non-zero beam angles

Established Monte Carlo user codes BEAMnrc and DOSXYZnrc permit the accurate and straightforward simulation of radiotherapy experiments and treatments delivered from multiple beam angles. However, when an electronic portal imaging detector (EPID) is included in these simulations, treatment delivery from non-zero beam angles becomes problematic. This study introduces CTCombine, a purpose-built code for rotating selected CT data volumes, converting CT numbers to mass densities, combining the results with model EPIDs and writing output in a form which can easily be read and used by the dose calculation code DOSXYZnrc...

A Fuzzy Approximation Scheme for Sequential Learning in Pattern Recognition

An adaptive learning scheme, based on a fuzzy approximation to the gradient descent method for training a pattern classifier using unlabeled samples, is described. The objective function defined for the fuzzy ISODATA clustering procedure is used as the loss function for computing the gradient. Learning is based on simultaneous fuzzy decisionmaking and estimation. It uses conditional fuzzy measures on unlabeled samples. An exponential membership function is assumed for each class, and the parameters constituting these membership functions are estimated, using the gradient, in a recursive fashion. The induced possibility of occurrence of each class is useful for estimation and is computed using 1) the membership of the new sample in that class and 2) the previously computed average possibility of occurrence of the same class. An inductive entropy measure is defined in terms of induced possibility distribution to measure the extent of learning. The method is illustrated with relevant examples.

Implementation of e-learning: A case study of three schools

As Western Australian schools move to implement technology into the classroom, there appears to be prevalence in combining e-learning with face to face traditional classroom practice. This has been accompanied by a shift toward a digital curriculum that incorporates re-usable learning objects. Essential to any teacher contemplating the use of a digital curriculum resource is not only the knowledge of learning theories but models of best practice to create online curriculum for students to use in every day classrooms. This paper explores the e-learning practices in three case study schools (n=3) in Western Australia. Data were collected by observation and interviews (n=11) conducted with the teachers and the ICT co-ordinators, to ascertain their perceptions and experiences with regard to the e-learning environment. There were challenges associated with the implementation of e-learning by teachers into their classroom such as skill development, changes in their role and the pedagogies they employ. The case study schools were pilot schools breaking new ground in order to test a new portal technology. Findings indicated that successful implementation of the e-learning environment was dependent on the four key factors of ICT infrastructure, ICT leadership, support and training initiatives and the teachers’ ICT capacity.

Variable Sparsity Kernel Learning

This paper(1) presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assume that the given kernels are grouped and employ l(1) norm regularization for promoting sparsity within RKHS norms of each group and l(s), s >= 2 norm regularization for promoting non-sparse combinations across groups. Various sparsity levels in combining the kernels can be achieved by varying the grouping of kernels-hence we name the formulations as Variable Sparsity Kernel Learning (VSKL) formulations. While previous attempts have a non-convex formulation, here we present a convex formulation which admits efficient Mirror-Descent (MD) based solving techniques. The proposed MD based algorithm optimizes over product of simplices and has a computational complexity of O (m(2)n(tot) log n(max)/epsilon(2)) where m is no. training data points, n(max), n(tot) are the maximum no. kernels in any group, total no. kernels respectively and epsilon is the error in approximating the objective. A detailed proof of convergence of the algorithm is also presented. Experimental results show that the VSKL formulations are well-suited for multi-modal learning tasks like object categorization. Results also show that the MD based algorithm outperforms state-of-the-art MKL solvers in terms of computational efficiency.