Cuestionarios online como herramienta de aprendizaje: comparación de resultados con diversos modelos de cuestionarios.

En este trabajo se comparan dos estrategias de evaluación a través de cuestionarios online: i) realizar un cuestionario de evaluación sumativa al final de cada bloque temático del curso o ii) permitir que, para cada bloque temático, el alumno pueda repetir varias veces un test (con realimentación de las respuestas correctas) y realizar un test similar después de esta fase de aprendizaje. Los resultados muestran varios beneficios de la segunda estrategia: una mayor participación de los alumnos hasta el final del semestre, una menor tasa de abandono de la asignatura y una mejor nota en los test. Sin embargo, para que el aprendizaje sea efectivo en el caso de repetir varias veces un test, se necesita un banco de preguntas suficientemente amplio para que exista una probabilidad baja de que las preguntas no se repitan. Este problema se ha resuelto utilizando la posibilidad que presentan algunas plataformas de gestión del aprendizaje de generar automáticamente variantes numéricas de una misma pregunta. Por último se observa un grado de acuerdo muy elevado por parte de los alumnos con el peso que los resultados de los tests tienen en la nota final del curso, en el caso bajo estudio. Abstract: This work compares two different assessment strategies through online tests: i) summative assessment tests at the end of each part of the course or ii) the students can do selfassessment tests (with feedback) prior to a summative assessment test at the end of each part of the course. Results show that the second strategy yields several benefits: an increment in student participation till the end of the semester, a reduction in the drop-out rate and an increase in the mean test marks. However, a large item bank is necessary to effectively implement this second strategy. This problem has been addressed by using the automatic item generation facility offered by several learning management systems. Finally, a high proportion of the students agree with the weight proposed for these tests in the final course mark.

Integration of SCORM packages into web games

This paper presents a model that enables the integration of SCORM packages into web games. It is based on the fact that SCORM packages are prepared to be integrated into Learning Management Systems and to communicate with them. Hence in a similar way they can also be integrated into web games. The application of this model results in the linkage between the Learning Objects inside the package and specific actions or conditions in the game. The educational content will be shown to the players when they perform these actions or the conditions are met. For example, when they need a special weapon they will have to consume the Learning Object to get it. Based on this model we have developed an open source web platform which main aim is to facilitate teachers the creation of educational games. They can select existing SCORM packages or upload their own ones and then select a game template in which the Learning Objects will be integrated. The resulting educational game will be available online. Details about the model and the developed platform are explained in this paper. Also links to the platform and an example of a generated game will be provided.

Nuevos métodos y herramientas para la creación y utilización de recursos multimedia en la educación

La educación y los entornos educativos están en constante evolución. Tanto alumnos como educadores cambian de hábitos, de maneras de aprender, de gustos, de dispositivos que manejan y de aplicaciones que usan regularmente entre otras cosas. Todos estos cambios vienen acompañados y fomentados en gran medida por la evolución paralela que experimenta la tecnología, tanto software en los programas utilizados, como hardware en los dispositivos y capacidades de éstos. La educación debe también adaptarse a estos cambios, tanto personales como tecnológicos y sacar el mayor provecho de ellos. El uso de Sistemas de Gestión del Aprendizaje está muy extendido en todos los centros educativos. Estos sistemas poseen un gran número de características y funcionalidades que permiten desde la aplicación de un modelo didáctico totalmente tradicional en el que el profesor imparte un contenido y los alumnos lo reciben a uno totalmente innovador en el que ocurren procesos totalmente diferentes. Por otro lado, el potencial que ofrecen los recursos multimedia no ha sido completamente aprovechado en la educación y supone una gran oportunidad. Esta tesis doctoral propone un conjunto de métodos y herramientas para la creación y el uso de recursos multimedia en la educación. Para ello el desarrollo de esta tesis parte de la definición de un modelo didáctico social, colaborativo y centrado en el alumno que servirá de hilo conductor y que integrará los diferentes y métodos y herramientas estudiados y desarrollados. En un primer paso se identifican varias herramientas y métodos para el aula, tales son la grabación de clases, donde se crea y posteriormente se mejora un carrito portátil de grabación que da muy buen resultado, las herramientas de grabación de screencast y la videoconferencia. Estas herramientas además se integran en una plataforma colaborativa dando lugar a una arquitectura completa y escalable que permite la realización de dichas actividades y la interconexión sencilla con el Sistema de Gestión del Aprendizaje. A continuación y ya en un entorno totalmente online se desarrolla una nueva plataforma de e-learning llamada Virtual Science Hub (ViSH) que consta de cuatro funcionalidades principales, red social, videoconferencia, repositorio educativo y herramienta de autor. En esta plataforma se aplicaron técnicas de recomendación proactiva tanto de recursos educativos como de otros usuarios similares. Por último se validó el modelo educativo completo usando algunas de las herramientas identificadas y desarrolladas en dos escenarios diferentes con gran éxito. Finalmente, esta tesis discute las conclusiones obtenidas a lo largo de la extensa investigación llevada a cabo y que ha propiciado la consecución de una buena base teórica y práctica para la creación de herramientas y métodos para la generación y el uso de recursos multimedia en la educación. ABSTRACT Education and learning environments are constantly evolving. Students and educators change the things their habits, their ways of learning, the things they like or the devices and applications that they use regularly among other things. All these changes are accompanied and fostered by the parallel evolution that technology experiences, both in the software programs used as in the hardware and capabilities of these devices. Education must also adapt to these changes, both personal and technological and get the most out of them. Learning Management Systems are widely used in all educational centers. These systems have a large number of features and functionalities. They allow from the implementation of a traditional teaching model in which the teacher gives content and students receive it to one absolutely innovative teaching model where totally different processes occur. Furthermore, the potential of multimedia resources has not been fully exploited in education and can be a great opportunity. This thesis proposes a set of methods and tools for the creation and use of multimedia in education. The development of this thesis starts with the definition of a social, collaborative and learner-centered model, that serves as a common thread and that integrates different tools and methods studied and developed. In a first step, several tools and methods for the classroom are identified, such as recording, where a portable kit is created and then improved giving very good results, screencast recording and videoconferencing. These tools also are integrated into a collaborative platform resulting in a complete, scalable architecture that enables the execution of such activities and a simple interconnection with the Learning Management System. In an fully online environment a new e-learning platform called Virtual Science Hub (ViSH) is created. It consists of four main features that combine and complement each other, social network, videoconferencing, educational repository and authoring tool. In this platform proactive recommendation of both educational resources and similar users is applied. In a last step the entire educational model using some of the tools identified and developed is successfully validated in two different scenarios. Finally, this thesis discusses the findings obtained during the extensive research carried out and has led to the achievement of a good theoretical and practical basis for the development of tools and methods for the generation and use of multimedia in education.

Evaluación para el aprendizaje en la asignatura sistemas operativos en modalidad online: un estudio cualitativo basado en la taxonomía de Bloom

La asignatura Sistemas Operativos presenta dificultades para su aprendizaje, pero poco se conoce acerca de las mismas, ya que no han sido determinadas ni estudiadas por la literatura. Asimismo, los trabajos existentes sobre la enseñanza y aprendizaje de Sistemas Operativos se limitan a proponer distintos enfoques para impartir la asignatura y en general no evalúan el aprendizaje de los estudiantes para comprobar la eficacia del método propuesto ni usan metodologías de investigación rigurosas. Por otra parte, la impartición de la asignatura Sistemas Operativos en modalidad online ha sido escasamente estudiada y podría tener dificultades adicionales a las de la modalidad presencial, ya que el contexto online impone una serie de restricciones tanto para el profesor como para el estudiante. En la presente tesis se ha llevado a cabo una evaluación formativa en la asignatura Sistemas Operativos, perteneciente al Grado de Ingeniería Informática de una universidad online. El objetivo inicial de la evaluación era descubrir las dificultades de los estudiantes para la comprensión de los conceptos de la asignatura. Posteriormente y, dada la buena aceptación de la evaluación por parte de los estudiantes, se ampliaron los objetivos del trabajo para explorar los efectos de la evaluación realizada sobre el aprendizaje. La evaluación formativa diseñada está basada en la taxonomía revisada de Bloom y sus principales objetivos son: (a) promover el aprendizaje significativo y (b) hacer a los estudiantes conscientes de su proceso de aprendizaje. La metodología de investigación utilizada es el estudio de caso cualitativo y la muestra está constituida por 9 estudiantes del total de 13 matriculados en la asignatura. Los datos cualitativos analizados proceden de las pruebas de evaluación formativa llevadas a cabo por los estudiantes durante la impartición de la asignatura. Los conceptos de sistemas operativos que han resultado más difíciles de comprender en el curso online estudiado han sido las interrupciones y los semáforos. Además, alrededor de estos conceptos se han identificado las dificultades específicas y sus posibles causas. Las dificultades descubiertas acerca de los semáforos corroboran las investigaciones existentes en el área de programación concurrente. El resto de las dificultades identificadas no habían sido determinadas por la literatura existente. En cuanto a los efectos de la evaluación formativa sobre el aprendizaje, la evidencia empírica muestra que ésta ha provocado en los estudiantes una reflexión profunda sobre los conceptos de la asignatura y sobre su propio proceso de aprendizaje. El estudio de caso presentado puede ayudar a los profesores del área de ingeniería a crear evaluaciones formativas en cursos online. La tesis, por tanto, realiza aportaciones relevantes en las áreas de enseñanza y aprendizaje de sistemas operativos, evaluación formativa, metodologías cualitativas y educación online. ABSTRACT Operating Systems is a difficult subject to learn; however little is known about said difficulties, as they have not been studied nor determined by the relevant literature. Existing studies on teaching and learning the subject of operating systems are limited to presenting different approaches for teaching the subject and generally do not evaluate students’ learning to verify the effectiveness of the proposed methods, nor do they use rigorous research methodologies. On the other hand, there are very few studies on teaching operating systems online, which may inherently present more difficulties than the in-person format, since an online context imposes a series of restrictions on both professors and students, such as not having face-to-face interaction for communications. This thesis studies a formative assessment of the subject of operating systems, as part of the Degree in Information Technology Engineering for an online university. The initial objective of this assessment was to determine the students’ difficulties in conceptual comprehension for this subject. Once students had accepted the assessment, the study’s objectives were expanded to include an investigation of the effects of the assessment on learning. The designed formative assessment was based on Revised Bloom’s Taxonomy with the following main objectives: (a) to promote meaningful learning and (b) (b) to make students aware of their learning process. The research methodology involves a qualitative case study with a sample consisting of 9 of the total 13 students registered for this course. The qualitative data analyzed comes from the formative assessment tests taken by these students during the course. The most difficult operating systems concepts for students in the online course were interrupts and semaphores. Additionally, the specific difficulties and their possible causes have been identified. The students’ comprehension difficulties with semaphores corroborate the existing research in the area of concurrent programming. The other identified difficulties were not discussed in the existing literature. Regarding the effects of the formative assessment on learning, the empirical evidence shows that it causes students to reflect carefully on the subject’s concepts as well as their own learning process. The presented case study can help professors in the area of engineering to create formative assessments for online courses. This thesis, therefore, makes relevant contributions to the areas of teaching and learning operating systems, formative assessment, qualitative methodologies, and online education.

DAEDALUS at SemEval-2014 Task 9: Comparing approaches for sentiment analysis in twitter

This paper describes our participation at SemEval- 2014 sentiment analysis task, in both contextual and message polarity classification. Our idea was to com- pare two different techniques for sentiment analysis. First, a machine learning classifier specifically built for the task using the provided training corpus. On the other hand, a lexicon-based approach using natural language processing techniques, developed for a ge- neric sentiment analysis task with no adaptation to the provided training corpus. Results, though far from the best runs, prove that the generic model is more robust as it achieves a more balanced evaluation for message polarity along the different test sets.

DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets

This paper describes our participation at the RepLab 2014 reputation dimensions scenario. Our idea was to evaluate the best combination strategy of a machine learning classifier with a rule-based algorithm based on logical expressions of terms. Results show that our baseline experiment using just Naive Bayes Multinomial with a term vector model representation of the tweet text is ranked second among runs from all participants in terms of accuracy.

Uso de un sistema para la gestión del aprendizaje (LMS) de código libre en la Universidad Tecnológica del Suroeste de Guanajuato (UTSOE)

The use of the Information and Communication Technologies (ICT) in Learning Environment allows achieving the maximum interaction between Teachers and Students.The Virtual Learning Environments are computer programs that benefit the learning facilitating the communication between users. Open Source software allow to create the own online modular learning environment with a fast placed in service. In the present paper the use of a Learning Management Systems (LMS) as continuous education tool is proposed.

Interfaz gráfica de usuario para la detección de microcalcificaciones mediante análisis de mamografía digitalizada

The graphical user interface (GUI) are all graphic elements that help to communicate with a system. The design of a GUI allow to land the central idea of a draft information technology. Today technology has become one of the largest and most useful tools to automate and facilitate processes for that reason fit into any kind of productive sectors, for example, in the health sector. The CAD systems (Systems Computer Aided Diagnosis) are the type of technology used in the health sector, in order to automate online modular learning environment with a fast placed in service. In the present paper the use of a Learning Management Systems (LMS) as continuous education tool is proposed.

Proposal of a trust and reputation model to provide recommendation in open quality oriented environments

El auge y penetración de las nuevas tecnologías junto con la llamada Web Social están cambiando la forma en la que accedemos a la medicina. Cada vez más pacientes y profesionales de la medicina están creando y consumiendo recursos digitales de contenido clínico a través de Internet, surgiendo el problema de cómo asegurar la fiabilidad de estos recursos. Además, un nuevo concepto está apareciendo, el de pervasive healthcare o sanidad ubicua, motivado por pacientes que demandan un acceso a los servicios sanitarios en todo momento y en todo lugar. Este nuevo escenario lleva aparejado un problema de confianza en los proveedores de servicios sanitarios. Las plataformas de eLearning se están erigiendo como paradigma de esta nueva Medicina 2.0 ya que proveen un servicio abierto a la vez que controlado/supervisado a recursos digitales, y facilitan las interacciones y consultas entre usuarios, suponiendo una buena aproximación para esta sanidad ubicua. En estos entornos los problemas de fiabilidad y confianza pueden ser solventados mediante la implementación de mecanismos de recomendación de recursos y personas de manera confiable. Tradicionalmente las plataformas de eLearning ya cuentan con mecanismos de recomendación, si bien están más enfocados a la recomendación de recursos. Para la recomendación de usuarios es necesario acudir a mecanismos más elaborados como son los sistemas de confianza y reputación (trust and reputation) En ambos casos, tanto la recomendación de recursos como el cálculo de la reputación de los usuarios se realiza teniendo en cuenta criterios principalmente subjetivos como son las opiniones de los usuarios. En esta tesis doctoral proponemos un nuevo modelo de confianza y reputación que combina evaluaciones automáticas de los recursos digitales en una plataforma de eLearning, con las opiniones vertidas por los usuarios como resultado de las interacciones con otros usuarios o después de consumir un recurso. El enfoque seguido presenta la novedad de la combinación de una parte objetiva con otra subjetiva, persiguiendo mitigar el efecto de posibles castigos subjetivos por parte de usuarios malintencionados, a la vez que enriquecer las evaluaciones objetivas con información adicional acerca de la capacidad pedagógica del recurso o de la persona. El resultado son recomendaciones siempre adaptadas a los requisitos de los usuarios, y de la máxima calidad tanto técnica como educativa. Esta nueva aproximación requiere una nueva herramienta para su validación in-silico, al no existir ninguna aplicación que permita la simulación de plataformas de eLearning con mecanismos de recomendación de recursos y personas, donde además los recursos sean evaluados objetivamente. Este trabajo de investigación propone pues una nueva herramienta, basada en el paradigma de programación orientada a agentes inteligentes para el modelado de comportamientos complejos de usuarios en plataformas de eLearning. Además, la herramienta permite también la simulación del funcionamiento de este tipo de entornos dedicados al intercambio de conocimiento. La evaluación del trabajo propuesto en este documento de tesis se ha realizado de manera iterativa a lo largo de diferentes escenarios en los que se ha situado al sistema frente a una amplia gama de comportamientos de usuarios. Se ha comparado el rendimiento del modelo de confianza y reputación propuesto frente a dos modos de recomendación tradicionales: a) utilizando sólo las opiniones subjetivas de los usuarios para el cálculo de la reputación y por extensión la recomendación; y b) teniendo en cuenta sólo la calidad objetiva del recurso sin hacer ningún cálculo de reputación. Los resultados obtenidos nos permiten afirmar que el modelo desarrollado mejora la recomendación ofrecida por las aproximaciones tradicionales, mostrando una mayor flexibilidad y capacidad de adaptación a diferentes situaciones. Además, el modelo propuesto es capaz de asegurar la recomendación de nuevos usuarios entrando al sistema frente a la nula recomendación para estos usuarios presentada por el modo de recomendación predominante en otras plataformas que basan la recomendación sólo en las opiniones de otros usuarios. Por último, el paradigma de agentes inteligentes ha probado su valía a la hora de modelar plataformas virtuales complejas orientadas al intercambio de conocimiento, especialmente a la hora de modelar y simular el comportamiento de los usuarios de estos entornos. La herramienta de simulación desarrollada ha permitido la evaluación del modelo de confianza y reputación propuesto en esta tesis en una amplia gama de situaciones diferentes. ABSTRACT Internet is changing everything, and this revolution is especially present in traditionally offline spaces such as medicine. In recent years health consumers and health service providers are actively creating and consuming Web contents stimulated by the emergence of the Social Web. Reliability stands out as the main concern when accessing the overwhelming amount of information available online. Along with this new way of accessing the medicine, new concepts like ubiquitous or pervasive healthcare are appearing. Trustworthiness assessment is gaining relevance: open health provisioning systems require mechanisms that help evaluating individuals’ reputation in pursuit of introducing safety to these open and dynamic environments. Technical Enhanced Learning (TEL) -commonly known as eLearning- platforms arise as a paradigm of this Medicine 2.0. They provide an open while controlled/supervised access to resources generated and shared by users, enhancing what it is being called informal learning. TEL systems also facilitate direct interactions amongst users for consultation, resulting in a good approach to ubiquitous healthcare. The aforementioned reliability and trustworthiness problems can be faced by the implementation of mechanisms for the trusted recommendation of both resources and healthcare services providers. Traditionally, eLearning platforms already integrate recommendation mechanisms, although this recommendations are basically focused on providing an ordered classifications of resources. For users’ recommendation, the implementation of trust and reputation systems appears as the best solution. Nevertheless, both approaches base the recommendation on the information from the subjective opinions of other users of the platform regarding the resources or the users. In this PhD work a novel approach is presented for the recommendation of both resources and users within open environments focused on knowledge exchange, as it is the case of TEL systems for ubiquitous healthcare. The proposed solution adds the objective evaluation of the resources to the traditional subjective personal opinions to estimate the reputation of the resources and of the users of the system. This combined measure, along with the reliability of that calculation, is used to provide trusted recommendations. The integration of opinions and evaluations, subjective and objective, allows the model to defend itself against misbehaviours. Furthermore, it also allows ‘colouring’ cold evaluation values by providing additional quality information such as the educational capacities of a digital resource in an eLearning system. As a result, the recommendations are always adapted to user requirements, and of the maximum technical and educational quality. To our knowledge, the combination of objective assessments and subjective opinions to provide recommendation has not been considered before in the literature. Therefore, for the evaluation of the trust and reputation model defined in this PhD thesis, a new simulation tool will be developed following the agent-oriented programming paradigm. The multi-agent approach allows an easy modelling of independent and proactive behaviours for the simulation of users of the system, conforming a faithful resemblance of real users of TEL platforms. For the evaluation of the proposed work, an iterative approach have been followed, testing the performance of the trust and reputation model while providing recommendation in a varied range of scenarios. A comparison with two traditional recommendation mechanisms was performed: a) using only users’ past opinions about a resource and/or other users; and b) not using any reputation assessment and providing the recommendation considering directly the objective quality of the resources. The results show that the developed model improves traditional approaches at providing recommendations in Technology Enhanced Learning (TEL) platforms, presenting a higher adaptability to different situations, whereas traditional approaches only have good results under favourable conditions. Furthermore the promotion period mechanism implemented successfully helps new users in the system to be recommended for direct interactions as well as the resources created by them. On the contrary OnlyOpinions fails completely and new users are never recommended, while traditional approaches only work partially. Finally, the agent-oriented programming (AOP) paradigm has proven its validity at modelling users’ behaviours in TEL platforms. Intelligent software agents’ characteristics matched the main requirements of the simulation tool. The proactivity, sociability and adaptability of the developed agents allowed reproducing real users’ actions and attitudes through the diverse situations defined in the evaluation framework. The result were independent users, accessing to different resources and communicating amongst them to fulfil their needs, basing these interactions on the recommendations provided by the reputation engine.

How do primary health care teams learn to integrate intimate partner violence (IPV) management? A realist evaluation protocol

Background: Despite the existence of ample literature dealing, on the one hand, with the integration of innovations within health systems and team learning, and, on the other hand, with different aspects of the detection and management of intimate partner violence (IPV) within healthcare facilities, research that explores how health innovations that go beyond biomedical issues—such as IPV management—get integrated into health systems, and that focuses on healthcare teams’ learning processes is, to the best of our knowledge, very scarce if not absent. This realist evaluation protocol aims to ascertain: why, how, and under what circumstances primary healthcare teams engage (if at all) in a learning process to integrate IPV management in their practices; and why, how, and under what circumstances team learning processes lead to the development of organizational culture and values regarding IPV management, and the delivery of IPV management services. Methods: This study will be conducted in Spain using a multiple-case study design. Data will be collected from selected cases (primary healthcare teams) through different methods: individual and group interviews, routinely collected statistical data, documentary review, and observation. Cases will be purposively selected in order to enable testing the initial middle-range theory (MRT). After in-depth exploration of a limited number of cases, additional cases will be chosen for their ability to contribute to refining the emerging MRT to explain how primary healthcare learn to integrate intimate partner violence management. Discussion: Evaluations of health sector responses to IPV are scarce, and even fewer focus on why, how, and when the healthcare services integrate IPV management. There is a consensus that healthcare professionals and healthcare teams play a key role in this integration, and that training is important in order to realize changes. However, little is known about team learning of IPV management, both in terms of how to trigger such learning and how team learning is connected with changes in organizational culture and values, and in service delivery. This realist evaluation protocol aims to contribute to this knowledge by conducting this project in a country, Spain, where great endeavours have been made towards the integration of IPV management within the health system.

Human factors criteria for vehicle controls and displays. Appendix C. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Using Sensitivity as a Method for Ranking the Test Cases Classified by Binary Decision Trees

Usually, data mining projects that are based on decision trees for classifying test cases will use the probabilities provided by these decision trees for ranking classified test cases. We have a need for a better method for ranking test cases that have already been classified by a binary decision tree because these probabilities are not always accurate and reliable enough. A reason for this is that the probability estimates computed by existing decision tree algorithms are always the same for all the different cases in a particular leaf of the decision tree. This is only one reason why the probability estimates given by decision tree algorithms can not be used as an accurate means of deciding if a test case has been correctly classified. Isabelle Alvarez has proposed a new method that could be used to rank the test cases that were classified by a binary decision tree [Alvarez, 2004]. In this paper we will give the results of a comparison of different ranking methods that are based on the probability estimate, the sensitivity of a particular case or both.

Approaches to Building Websites for Training People with Special Education Needs

This work discusses several approaches to building websites for training and facilitating people with special education needs (SEN), implemented over the last four years with the authors’ involvement. Achievements are credited and avenues for improvement are suggested, as emphasis is given to technologies and resources of key importance in providing the required level of accessibility. Two instances of learning management systems are considered as tools for developing websites dedicated to training and working with people with SEN. A summary of the recommendations and requirements of developers of such sites is made in view of improving the degree of accessibility.

CLAE to move to online format

Editorial: The 2015 BCLA annual conference was another fantastic affair. It was the first time the conference was held in the beautiful city of Liverpool. The venue was great and the programme was excellent. The venue overlooked the River Mersey and many of the hotels were local boutique hotels. I stayed in one which was formerly the offices of White Star Liners—where the RMS Titanic was originally registered. The hotel decor was consistent with its historic significance. The BCLA gala dinner was held in the hugely impressive Anglican Cathedral with entertainment from a Beatles tribute band. That will certainly be a hard act to follow at the next conference in 2017. Brian Tompkins took the reigns as the new BCLA president. Professor Fiona Stapleton was the recipient of the BCLA Gold Medal Award. The winner of the poster competition was Dorota Szczesna-Iskander with a poster entitled ‘Dry Contact lens poor wettability and visual performance’. Second place was Renee Reeder with her poster entitled ‘Abnormal Rosacea as a differential diagnosis in corneal scarring’. And third place was Maria Jesus Gonzalez-Garcia with her poster entitled ‘Dry Effect of the Environmental Conditions on Tear Inflammatory Mediators Concentration in Contact Lens Wearers’. The photographic competition winner was Professor Wolfgang Sickenberger from Jena in Germany. The Editorial Panel of CLAE met at the BCLA conference for their first biannual meeting. The journal metrics were discussed. In terms of number of submissions of new papers CLAE seems to have plateaued after seeing a rapid growth in the number of submissions over the last few years. The increase over the last few years could be attributed to the fact that CLAE was awarded an impact factor for the first time in 2012. This year it seems that impact factors across nearly all ophthalmic related journals has dropped. This could in part be due to the fact that last year was a ‘Research Exercise Framework (REF) year for UK universities, where they are judged on quality of their research output. The next REF is in 2020 so we may see changes nearing that time. Looking at article downloads, there seems to be a continued rise in figures. Currently CLAE attracts around 85,000 downloads per year (this is an increase of around 10,000 per year for the last few years) and the 2015 prediction is 120,000! With this in mind and with other contributing factors too, the BCLA has decided to move to online delivery of CLAE to its members starting from issue 5 of 2015. Some members do like to flick through the pages of a hard copy of the journal so members will still have the option of receiving a hard copy through the post but the default journal delivery method will now be online. The BCLA office will send various alerts and content details to members email addresses. To access CLAE online you will need to log in via the BCLA web page, currently you then click on ‘Resources’ and then under ‘Free and Discounted Publications’ you will see CLAE. This actually takes you to CLAE’s own webpage (www.contactlensjournal.com) but you need to log in via the BCLA web page. The BCLA plans to change these weblinks so that from the BCLA web page you can link to the journal website much more easily and you have the choice of going directly into the general website for CLAE or straight to the current issue. In 2016 you will see an even easier way of accessing CLAE online as the BCLA will launch a CLAE application for mobile devices where the journal can be downloaded as a ‘flick-book’. This is a great way of bringing CLAE into the modern era where people access their information in newer ways. For many the BCLA conference was part of a very busy conference week as it was preceded by the International Association of Contact Lens Educators’ (IACLE) Third World Congress, held in Manchester on the 4 days before the BCLA conference. The first and second IACE World Congresses were held in Waterloo, Canada in 1994 and 2000 respectively and hosted by Professor Des Fonn. Professor Fonn was the recipient of the first ever IACLE lifetime achievement award. The Third IACLE World Congress saw more than 100 contact lens educators and industry representatives from around 30 countries gather in the UK for the four-day event, hosted by The University of Manchester. Delegates gained hands-on experience of innovations in teaching, such as learning delivery systems, the use of iPads in the classroom and for creating ePub content, and augmented and virtual reality technologies. IACLE members around the world also took part via a live online broadcast. The Third IACLE World Congress was made possible by the generous support of Sponsors Alcon, CooperVision and Johnson & Johnson Vision Care., for more information look at the IACLE web page (www.iacle.org).

Probabilistic topographic information visualisation

The focus of this thesis is the extension of topographic visualisation mappings to allow for the incorporation of uncertainty. Few visualisation algorithms in the literature are capable of mapping uncertain data with fewer able to represent observation uncertainties in visualisations. As such, modifications are made to NeuroScale, Locally Linear Embedding, Isomap and Laplacian Eigenmaps to incorporate uncertainty in the observation and visualisation spaces. The proposed mappings are then called Normally-distributed NeuroScale (N-NS), T-distributed NeuroScale (T-NS), Probabilistic LLE (PLLE), Probabilistic Isomap (PIso) and Probabilistic Weighted Neighbourhood Mapping (PWNM). These algorithms generate a probabilistic visualisation space with each latent visualised point transformed to a multivariate Gaussian or T-distribution, using a feed-forward RBF network. Two types of uncertainty are then characterised dependent on the data and mapping procedure. Data dependent uncertainty is the inherent observation uncertainty. Whereas, mapping uncertainty is defined by the Fisher Information of a visualised distribution. This indicates how well the data has been interpolated, offering a level of ‘surprise’ for each observation. These new probabilistic mappings are tested on three datasets of vectorial observations and three datasets of real world time series observations for anomaly detection. In order to visualise the time series data, a method for analysing observed signals and noise distributions, Residual Modelling, is introduced. The performance of the new algorithms on the tested datasets is compared qualitatively with the latent space generated by the Gaussian Process Latent Variable Model (GPLVM). A quantitative comparison using existing evaluation measures from the literature allows performance of each mapping function to be compared. Finally, the mapping uncertainty measure is combined with NeuroScale to build a deep learning classifier, the Cascading RBF. This new structure is tested on the MNist dataset achieving world record performance whilst avoiding the flaws seen in other Deep Learning Machines.