'Create a Better Online You': Designing online learning resources to develop undergraduate social media skills

This article charts the development of the 'Create a Better Online You' (CBOY) project. The focus of CBOY was the social media skills of undergraduate students at QUT. While many students will have encountered 'cybersafety' training in primary or secondary school, however, a comprehensive environmental scan revealed little in the way of social media resources targeted at undergraduate students. In particular, there was little to no focus on the ways in which social media could be used strategically to develop a positive online reputation and enhance chances of employability post tertiary education. The resources created as part of CBOY were the result of a comprehensive literature review, environmental scan, interviews with key internal and external stakeholders, and in discussion with undergraduate students at Queensland University of Technology (QUT). Following the comprehensive environmental scan, it appears that CBOY represents one of the first free, openly accessible, interactive resources targeting the social media skills of undergraduates.

Estrategias de lectura on-line en inglés como lengua extranjera

XXIV, 508 p.

On-line policy optimisation of spoken dialogue systems via live interaction with human subjects

Statistical dialogue models have required a large number of dialogues to optimise the dialogue policy, relying on the use of a simulated user. This results in a mismatch between training and live conditions, and significant development costs for the simulator thereby mitigating many of the claimed benefits of such models. Recent work on Gaussian process reinforcement learning, has shown that learning can be substantially accelerated. This paper reports on an experiment to learn a policy for a real-world task directly from human interaction using rewards provided by users. It shows that a usable policy can be learnt in just a few hundred dialogues without needing a user simulator and, using a learning strategy that reduces the risk of taking bad actions. The paper also investigates adaptation behaviour when the system continues learning for several thousand dialogues and highlights the need for robustness to noisy rewards. © 2011 IEEE.

Uncertainty management for on-line optimisation of a POMDP-based large-scale spoken dialogue system

The optimization of dialogue policies using reinforcement learning (RL) is now an accepted part of the state of the art in spoken dialogue systems (SDS). Yet, it is still the case that the commonly used training algorithms for SDS require a large number of dialogues and hence most systems still rely on artificial data generated by a user simulator. Optimization is therefore performed off-line before releasing the system to real users. Gaussian Processes (GP) for RL have recently been applied to dialogue systems. One advantage of GP is that they compute an explicit measure of uncertainty in the value function estimates computed during learning. In this paper, a class of novel learning strategies is described which use uncertainty to control exploration on-line. Comparisons between several exploration schemes show that significant improvements to learning speed can be obtained and that rapid and safe online optimisation is possible, even on a complex task. Copyright © 2011 ISCA.

On-line policy optimisation of Bayesian spoken dialogue systems via human interaction

A partially observable Markov decision process has been proposed as a dialogue model that enables robustness to speech recognition errors and automatic policy optimisation using reinforcement learning (RL). However, conventional RL algorithms require a very large number of dialogues, necessitating a user simulator. Recently, Gaussian processes have been shown to substantially speed up the optimisation, making it possible to learn directly from interaction with human users. However, early studies have been limited to very low dimensional spaces and the learning has exhibited convergence problems. Here we investigate learning from human interaction using the Bayesian Update of Dialogue State system. This dynamic Bayesian network based system has an optimisation space covering more than one hundred features, allowing a wide range of behaviours to be learned. Using an improved policy model and a more robust reward function, we show that stable learning can be achieved that significantly outperforms a simulator trained policy. © 2013 IEEE.

A Two-Tiered On-Line Server-Side Bandwidth Reservation Framework for the Real-Time Delivery of Multiple Video Streams

The advent of virtualization and cloud computing technologies necessitates the development of effective mechanisms for the estimation and reservation of resources needed by content providers to deliver large numbers of video-on-demand (VOD) streams through the cloud. Unfortunately, capacity planning for the QoS-constrained delivery of a large number of VOD streams is inherently difficult as VBR encoding schemes exhibit significant bandwidth variability. In this paper, we present a novel resource management scheme to make such allocation decisions using a mixture of per-stream reservations and an aggregate reservation, shared across all streams to accommodate peak demands. The shared reservation provides capacity slack that enables statistical multiplexing of peak rates, while assuring analytically bounded frame-drop probabilities, which can be adjusted by trading off buffer space (and consequently delay) and bandwidth. Our two-tiered bandwidth allocation scheme enables the delivery of any set of streams with less bandwidth (or equivalently with higher link utilization) than state-of-the-art deterministic smoothing approaches. The algorithm underlying our proposed frame-work uses three per-stream parameters and is linear in the number of servers, making it particularly well suited for use in an on-line setting. We present results from extensive trace-driven simulations, which confirm the efficiency of our scheme especially for small buffer sizes and delay bounds, and which underscore the significant realizable bandwidth savings, typically yielding losses that are an order of magnitude or more below our analytically derived bounds.

Scientific writing: a randomized controlled trial comparing standard and on-line instruction.

BACKGROUND: Writing plays a central role in the communication of scientific ideas and is therefore a key aspect in researcher education, ultimately determining the success and long-term sustainability of their careers. Despite the growing popularity of e-learning, we are not aware of any existing study comparing on-line vs. traditional classroom-based methods for teaching scientific writing. METHODS: Forty eight participants from a medical, nursing and physiotherapy background from US and Brazil were randomly assigned to two groups (n = 24 per group): An on-line writing workshop group (on-line group), in which participants used virtual communication, google docs and standard writing templates, and a standard writing guidance training (standard group) where participants received standard instruction without the aid of virtual communication and writing templates. Two outcomes, manuscript quality was assessed using the scores obtained in Six subgroup analysis scale as the primary outcome measure, and satisfaction scores with Likert scale were evaluated. To control for observer variability, inter-observer reliability was assessed using Fleiss's kappa. A post-hoc analysis comparing rates of communication between mentors and participants was performed. Nonparametric tests were used to assess intervention efficacy. RESULTS: Excellent inter-observer reliability among three reviewers was found, with an Intraclass Correlation Coefficient (ICC) agreement = 0.931882 and ICC consistency = 0.932485. On-line group had better overall manuscript quality (p = 0.0017, SSQSavg score 75.3 +/- 14.21, ranging from 37 to 94) compared to the standard group (47.27 +/- 14.64, ranging from 20 to 72). Participant satisfaction was higher in the on-line group (4.3 +/- 0.73) compared to the standard group (3.09 +/- 1.11) (p = 0.001). The standard group also had fewer communication events compared to the on-line group (0.91 +/- 0.81 vs. 2.05 +/- 1.23; p = 0.0219). CONCLUSION: Our protocol for on-line scientific writing instruction is better than standard face-to-face instruction in terms of writing quality and student satisfaction. Future studies should evaluate the protocol efficacy in larger longitudinal cohorts involving participants from different languages.

Experts on e-learning: insights gained from listening to the student voice!

The Student Experience of e-Learning Laboratory (SEEL) project at the University of Greenwich was designed to explore and then implement a number of approaches to investigate learners’ experiences of using technology to support their learning. In this paper members of the SEEL team present initial findings from a University-wide survey of nearly a 1000 students. A selection of 90 ‘cameos’, drawn from the survey data, offer further insights into personal perceptions of e-learning and illustrate the diversity of students experiences. The cameos provide a more coherent picture of individual student experience based on the totality of each person’s responses to the questionnaire. Finally, extracts from follow-up case studies, based on interviews with a small number of students, allow us to ‘hear’ the student voice more clearly. Issues arising from an analysis of the data include student preferences for communication and social networking tools, views on the ‘smartness’ of their tutors’ uses of technology and perceptions of the value of e-learning. A primary finding and the focus of this paper, is that students effectively arrive at their own individualised selection, configuration and use of technologies and software that meets their perceived needs. This ‘personalisation’ does not imply that such configurations are the most efficient, nor does it automatically suggest that effective learning is occurring. SEEL reminds us that learners are individuals, who approach learning both with and without technology in their own distinctive ways. Hearing, understanding and responding to the student voice is fundamental in maximising learning effectiveness. Institutions should consider actively developing the capacity of academic staff to advise students on the usefulness of particular online tools and resources in support of learning and consider the potential benefits of building on what students already use in their everyday lives. Given the widespread perception that students tend to be ‘digital natives’ and academic staff ‘digital immigrants’ (Prensky, 2001), this could represent a considerable cultural challenge.

International on-line reciprocal peer tutoring to promote modern language development in primary schools

The paper reports data from an on-line peer tutoring project. In the project 78, 9–12-year-old students from Scotland and Catalonia peer tutored each other in English and Spanish via a managed on-line envi- ronment. Significant gains in first language (Catalonian pupils) modern language (Scottish pupils) and attitudes towards modern languages (both Catalonian and Scottish pupils) were reported for the exper- imental group as compared to the control group. Results indicated that pupils tutored each other in using Piagetian techniques of error correction during the project. Error correction provided by tutors to tutees focussed on morph syntaxys, more specifically the correction of verbs. Peer support provided via the on- line environment was predominantly based on the tutor giving the right answer to the tutee. High rates of impact on tutee corrected messages were observed. The implications for peer tutoring initiative taking place via on-line environments are discussed. Implications for policy and practice are explored

Accurate image capturing control of bottle caps based on iterative learning control and Kalman filtering

This paper investigates camera control for capturing bottle cap target images in the fault-detection system of an industrial production line. The main purpose is to identify the targeted bottle caps accurately in real time from the images. This is achieved by combining iterative learning control and Kalman filtering to reduce the effect of various disturbances introduced into the detection system. A mathematical model, together with a physical simulation platform is established based on the actual production requirements, and the convergence properties of the model are analyzed. It is shown that the proposed method enables accurate real-time control of the camera, and further, the gain range of the learning rule is also obtained. The numerical simulation and experimental results confirm that the proposed method can not only reduce the effect of repeatable disturbances but also non-repeatable ones.

E-assessment em ensino a distância on-line: estudo exploratório no curso de licenciatura em gestão de negócios da Universidade Eduardo Mondlane

A evolução acelerada da tecnologia, com um grande impacto em quase todos os segmentos da humanidade, coloca o homem perante novos desafios, com vários graus de complexidade. Cada dia que passa, estes desafios exigem novas competências e estratégias que devem ser adequadas a cada contexto. A dinâmica das tecnologias de comunicação e informação impulsionaram a evolução do ensino a distância (EaD), o que de certo modo tem exigido grandemente às instituições provedoras do EaD em geral e, em particular, às provedoras do EaD on-line novas formas de gestão, e novas formas de ensinar, fazer aprender os seus estudantes e avaliar as suas aprendizagens. No sentido de contribuir para a evolução e melhoramento do processo de avaliação das aprendizagens on-line, desenvolveu-se um estudo sobre o tema avaliação das aprendizagens on-line como elemento potenciador da interação em EaD. O desenvolvimento do tema foi orientado por um referencial teórico e contextual e concretizou-se, na sua vertente empírica, num estudo de caso exploratório. Este estudo desenvolveu-se em duas fases. Fase I: de caracterização de conceções e “práticas” vigentes de avaliação das aprendizagens on-line no Curso de licenciatura de Gestão de Negócios (LGN) da Universidade Eduardo Mondlane (UEM) de Moçambique; Fase II: de conceção, implementação e avaliação de uma proposta alternativa de avaliação das aprendizagens on-line no Curso de LGN. Para a consecução do estudo empírico concorreram um conjunto de procedimentos metodológicos que envolveu diversas técnicas e instrumentos de recolha de dados. Na fase I recorreu-se à entrevista a seis atores do Curso de LGN (3 professores, 3 assessores pedagógicos e 3 estudantes) e à análise documental (documentos relativos à conceção do Curso e outros relativos à sua implementação). Na fase II recorreu-se à observação participante, a um questionário respondido pelos estudantes participantes, a um relatório elaborado pelo professor colaborador na implementação da proposta por nós concebido, e a documentos retirados da plataforma usada no Curso de LGN, a plataforma Aulanet, nomeadamente quanto às interações dos estudantes em fóruns e chats. Os dados recolhidos foram sujeitos a análises quantitativas e qualitativas.Dos resultados obtidos na Fase I realça-se a necessidade sentida pelos entrevistados de se mudarem práticas de avaliação on-line, nomeadamente de forma a potenciar a interação e interatividade e permitir que a classificação nos módulos não fosse apenas resultado de um exame final. Dos resultados obtidos na Fase II enfatiza-se a apreciação globalmente positiva da nova metodologia de avaliação das aprendizagens on-line, quer pelos estudantes, quer pelo professor participante. Foram identificados como pontos fortes: o aumento das interações na plataforma, em particular nos fóruns e chats; as interações geraram uma dinâmica na evolução dos estudantes no que diz respeito ao desenvolvimento das suas competências no seu sucesso académico; a avaliação, por explicitar os critérios e indicadores, tornou-se mais transparente e orientadora do trabalho dos estudantes e do professor. Porém foram identificados alguns pontos menos fortes, nomeadamente: a sobrecarga de trabalho do professor e a não adesão total dos estudantes à metodologia proposta. Dada a natureza exploratória do estudo sugere-se a sua continuidade, através do envolvimento de outros professores e estudantes.

Rede social de leitores e escritores juniores: portal Biblon: a integração social on-line como catalisador da leitura, criação, expressão e partilha

Com enquadramento nas áreas de Ciência da Informação, Tecnologias de Informação e Comunicação e Educação, o estudo em voga visa formular propostas para o uso de rede social on-line de literatura infantil, em torno da biblioteca, para a educação básica, fundamentadas na teoria de comunidades de prática. O estudo de caso recaiu sobre quatro escolas, do 1º ciclo, da Educação Básica, do Agrupamento de Escolas de Aveiro-Portugal, tendo como instrumento para o experimento o Portal Biblon. A análise dos dados permite afirmar que a leitura de livros on-line não está inclusa nas atividades habituais da comunidade escolar pesquisada e, assim, o aluno encontra-se sem referencial para inserir esta prática cultural em suas rotinas e momentos de ócio. O cenário escolar atual não estimula a confluências da prática da leitura literária e da escrita dos alunos com as redes sociais on-line. O estudo aponta que, em uma rede social on-line, o livro de literatura infantil tem o papel de interagente, agregando leitores, em interação, em torno de si e que nas redes sociais on-line tem-se a presença dos “mediadores sociais centrais” que propiciam reforço e sustentação das práticas de leitura, através do contágio e da influência social e são propulsionadores da estrutura e do dinamismo da rede. Como conclusão geral tem-se que os utilizadores do Biblon desenvolvem experiências de leituras e escritas através da interação social, por meio de práticas, rotinas, diálogos e atividades comuns construídas na rede. A interação dentro da rede influencia o uso das ferramentas e o aprendizado para manuseá-las ocorre com as práticas. Assim, os laços associativos e as reações individuais envolvendo a leitura conduzem à formação de rede social em torno dos livros e os comportamentos e as preferências dos atores motivam a leitura e a escrita. Dessa forma, o Portal Biblon configura-se como um instrumento para formação de rede social on-line em torno da literatura infantil.

TCRIO: tecnologia de criatividade relacional inteligente on-line

No âmbito dos contextos de aprendizagem de projeto em Design, nas instituições de Ensino Superior, é cada vez mais frequente a utilização de plataformas de gestão das aprendizagens on-line (LMS) no suporte às atividades curriculares à distância. Contudo estes sistemas apesar de darem um precioso contributo através da gestão de conteúdos, das funcionalidades ligadas à avaliação dos alunos e da comunicação entre pares, respondem de forma ineficiente a outras necessidades específicas de alunos e professores no desenvolvimento de unidades curriculares de Design ligadas à aprendizagem de projeto. Este fato contribuiu para que recorrêssemos às tecnologias móveis e sociais na procura de uma solução que melhor se ajuste à aplicação das novas metodologias de e-learning adaptadas a este tipo de contextos. Partindo dessa constatação desenvolvemos e testámos um modelo tecnológico que julgamos introduzir vantagens bastante significativas na definição de novas metodologias de suporte on-line a contextos de aprendizagem personalizada (PLE) em disciplinas ligadas à aprendizagem colaborativa de projeto em Design. Através do levantamento de necessidades detetadas no terreno e da análise da oferta tecnológica existente, reunimos um conjunto de requisitos que nos permitiu desenvolver o protótipo de um sistema tecnológico que fundamenta a totalidade do modelo teórico que propomos em resposta aos pressupostos equacionados no início deste relatório.

On-line operation of an intelligent seismic detector

This study describes the on-line operation of a seismic detection system to act at the level of a seismic station providing similar role to that of a STA /LTA ratio-based detection algorithms. The intelligent detector is a Support Vector Machine (SVM), trained with data consisting of 2903 patterns extracted from records of the PVAQ station, one of the seismographic network's stations of the Institute of Meteorology of Portugal (IM). Records' spectral variations in time and characteristics were reflected in the SVM input patterns, as a set of values of power spectral density at selected frequencies. To ensure that all patterns of the sample data were within the range of variation of the training set, we used an algorithm to separate the universe of data by hyper-convex polyhedrons, determining in this manner a set of patterns that have a mandatory part of the training set. Additionally, an active learning strategy was conducted, by iteratively incorporating poorly classified cases in the training set. After having been trained, the proposed system was experimented in continuous operation for unseen (out of sample) data, and the SVM detector obtained 97.7% and 98.7% of sensitivity and selectivity, respectively. The same type of ANN presented 88.4 % and 99.4% of sensitivity and selectivity when applied to data of a different seismic station of IM. © 2013 Springer-Verlag Berlin Heidelberg.

Do impresso ao on-line: o caso da revista Sábado.

Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Jornalismo.