2,577 research outputs found

    Designing Interfaces to Support Collaboration in Information Retrieval

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    Information retrieval systems should acknowledge the existence of collaboration in the search process. Collaboration can help users to be more effective in both learning systems and in using them. We consider some issues of viewing interfaces to information retrieval systems as collaborative notations and how to build systems that more actively support collaboration. We describe a system that embodies just one kind of explicit support; a graphical representation of the search process that can be manipulated and discussed by the users. By acknowledging the importance of other people in the search process, we can develop systems that not only improve help-giving by people but which can lead to a more robust search activity, more able to cope with, and indeed exploit, the failures of any intelligent agents used

    Exploring grade 11 learners’ use of the geogebra programme when learning euclidean geometry.

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    Masters Degree. University of Kwa-Zulu Natal, Durban.The GeoGebra programme is a free computer application programme that provides an algebra view, Geometry view, spreadsheet view and an input bar. This study explored how the GeoGebra programme contributed to learners’ learning and understanding of Euclidean Geometry. The research focused on participants’ experiences as they used the GeoGebra programme to support their understanding of Euclidean Geometry. It highlighted learners’ perspectives on the role of the GeoGebra programme in supporting an exploration of Euclidean Geometry in particular and mathematical ideas in general. The focus of the study was to explore the way in which the GeoGebra programme is used, as a learning tool and mediating artefact in the learning of Euclidean Geometry in Grade 11 Mathematics. This study also aimed to explore learners’ experiences and perceptions when the GeoGebra programme is used to support the learning of Grade 11 Euclidean Geometry. The main research questions that guided this study focused on how learners used the GeoGebra programme Euclidean Geometry to support their understanding and why the GeoGebra programme is used in the way that it is when learning Grade 11 Euclidean Geometry. The study is rooted within a Constructivist view of learning and mediated learning and the approach used is a case study. The research was carried out in a public school that involved 16 learners. Data was generated by using tasks, lesson observations and interviews. Based on a qualitative analysis of the data generated, the findings indicate that the introduction of the GeoGebra programme did have an influence on the learning practice in three dimensions, namely: (1) the GeoGebra programme provided a medium for visualisation that linked the development of mathematical ideas and concepts through computer-based learning, (2) the GeoGebra programme created an independent constructive learning environment and (3) the utilisation of the GeoGebra programme as a learning tool enhanced learners’ conceptual understanding of Euclidean Geometry understanding

    City Rhythm

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    Rhythm is fundamental to life. Rhythm can be perceived in the movement of the sun, the moon and the stars. Rhythm makes our hearts tick and defines our breath, in and out. And even the smallest particle in a microbe is part of rhythmic movements. Rhythm in activities is important for culture, for religion, and for sports, schools and hospitals for example. Yet in social situations, social analyses and in social policymaking, rhythm is not considered as a space of analyses or a space of design. City Rhythm explores the potential of using rhythm analyses in the physical world and related data domain for enhancing social safety in neighbourhoods in the Netherlands. Rhythm in the physical world happens both in space as well as in time. Rhythm in data can connect to location (instead of persons), thus circumventing the issue of privacy. However, because the data addresses specific times and places, nonetheless the data still addresses significant social issues. Founded in the social sciences, humanities, arts and computer science, the interdisciplinary research team also includes civil servants of six cities in the Netherlands who have engaged throughout the research. With the help of students, nine case studies are carried out. Building upon methodologies from the social sciences and architecture, it is found that in seven cases rhythm analyses identified new design solution spaces. As a result, a methodology for doing rhythm analyses in the physical world is developed. More theoretical and artistic explorations are carried out. These enable the bridging of experience and insight from rhythm analyses to the data world. The interdisciplinary research team formulates the basic concept and terminology for the City Rhythm Data Model (CRDM). This consists of beats, base and street rhythms. Beats are defined by the state of specific area at a specific moment in time, As an example of a state, a street might have lots of cars, few cars, or no cars at all. Street rhythms show significant transitions over time for the specific area. The base rhythm of an area is defined by comparison to other areas. These derived rhythms are like a musical meter. In this specific context, individual street rhythms develop. Street rhythms represent a variation around a few specific themes. The City Rhythm Data Model (CRDM), based on mixtures of hidden Markov models, is built and run with open and linked data from the Central Bureau for Statistics (CBS) of the Netherlands. Areas can be represented using sizes in different datasets. City Rhythm worked with areas of 500 by 500 meters. The choice of datasets is defined by mapping upon the YUTPA framework which indicates trade-offs for trust. In the validation session of the City Rhythm Data Model it is concluded that the general experience of social safety of specific areas is reflected in CRDM base rhythms. For being able to understand which specific data constitute a beat (or “state”) and for understanding specific street rhythms, further research is necessary. In conclusion to the one year exploratory study, City Rhythm indicates that rhythm analyses, in the physical world as well as in the related data domain, offer a potential new approach for policymaking

    City Rhythm

    Get PDF
    Rhythm is fundamental to life. Rhythm can be perceived in the movement of the sun, the moon and the stars. Rhythm makes our hearts tick and defines our breath, in and out. And even the smallest particle in a microbe is part of rhythmic movements. Rhythm in activities is important for culture, for religion, and for sports, schools and hospitals for example. Yet in social situations, social analyses and in social policymaking, rhythm is not considered as a space of analyses or a space of design. City Rhythm explores the potential of using rhythm analyses in the physical world and related data domain for enhancing social safety in neighbourhoods in the Netherlands. Rhythm in the physical world happens both in space as well as in time. Rhythm in data can connect to location (instead of persons), thus circumventing the issue of privacy. However, because the data addresses specific times and places, nonetheless the data still addresses significant social issues. Founded in the social sciences, humanities, arts and computer science, the interdisciplinary research team also includes civil servants of six cities in the Netherlands who have engaged throughout the research. With the help of students, nine case studies are carried out. Building upon methodologies from the social sciences and architecture, it is found that in seven cases rhythm analyses identified new design solution spaces. As a result, a methodology for doing rhythm analyses in the physical world is developed. More theoretical and artistic explorations are carried out. These enable the bridging of experience and insight from rhythm analyses to the data world. The interdisciplinary research team formulates the basic concept and terminology for the City Rhythm Data Model (CRDM). This consists of beats, base and street rhythms. Beats are defined by the state of specific area at a specific moment in time, As an example of a state, a street might have lots of cars, few cars, or no cars at all. Street rhythms show significant transitions over time for the specific area. The base rhythm of an area is defined by comparison to other areas. These derived rhythms are like a musical meter. In this specific context, individual street rhythms develop. Street rhythms represent a variation around a few specific themes. The City Rhythm Data Model (CRDM), based on mixtures of hidden Markov models, is built and run with open and linked data from the Central Bureau for Statistics (CBS) of the Netherlands. Areas can be represented using sizes in different datasets. City Rhythm worked with areas of 500 by 500 meters. The choice of datasets is defined by mapping upon the YUTPA framework which indicates trade-offs for trust. In the validation session of the City Rhythm Data Model it is concluded that the general experience of social safety of specific areas is reflected in CRDM base rhythms. For being able to understand which specific data constitute a beat (or “state”) and for understanding specific street rhythms, further research is necessary. In conclusion to the one year exploratory study, City Rhythm indicates that rhythm analyses, in the physical world as well as in the related data domain, offer a potential new approach for policymaking

    Cognitive apprenticeship in a building design office

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    This thesis presents a research study that investigated student learning in a mentor supported design office situation, using a cognitive apprenticeship learning approach that utilised authentic design project tusks. In this study, 29 final year Technical And Further Education (TAFE) building design students undertook authentic building design projects with expert building designers, who acted as mentors, in commercial design office situations. The mentors guided student learning by using a cognitive apprenticeship approach to learning, implemented with authentic design projects designed to replicate the everyday culture of practice activities typical of commercial design office operations. This study follows the progress of these students as they worked in collaboration with their mentors in the design and presentation of design solutions developed for the projects. Data about the students\u27 learning experiences in this setting were collected and analysed to determine their learning outcomes, the kinds of knowledge acquired and the means through which knowledge was transferred in the study situation. A holistic interpretivistic approach was used to collect data in three phases. The first of these was a pilot-study with the other two phases providing the main data gathering parts of the study. Much of the focus of the third phase of this study was on verifying findings emergent from analysis of data collected in the first two phases, as well as seeking greater understanding of the study phenomena. Throughout each of the three phases, data were collected from multiple sources, which included interviews, direct observations, personal journals and drawings. Analysis of the data showed that using cognitive apprenticeship learning methods organised around mentor supported authentic projects implemented in authentic commercial design office situations provided successful transfer of declarative, tacit and procedural knowledge from the mentor to the students. This thesis concludes with recommendations for the classroom application of cognitive apprenticeship learning methods, as used by the expert building designers who participated in this research

    Light-weight ontologies for scrutable user modelling

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    This thesis is concerned with the ways light-weight ontologies can support scrutability for large user models and the user modelling process. It explores the role that light-weight ontologies can play, and how they can be exploited, for the purpose of creating and maintaining large, scrutable user models consisting of hundreds of components. We address problems in four key areas: ontology creation, metadata annotation, creation and maintenance of large user models, and user model visualisation, with a goal to provide a simple and adaptable approach that maintains scrutability. Each of these key areas presents a number of challenges that we address. Our solution is the development of a toolkit, LOSUM, which consists of a number of tools to support the user modelling process. It incorporates light-weight ontologies to fulfill a number of roles: aiding in metadata creation, providing structure for large user model visualisation, and as a means to reason across granularities in the user model. In conjunction with this, LOSUM also features a novel visualisation tool, SIV, which performs a dual role of ontology and user model visualisation, supporting the process of ontology creation, metadata annotation, and user model visualisation. We evaluated our approach at each stage with small user studies, and conducted a large scale integrative evaluation of these approaches together in an authentic learning context with 114 students, of whom 77 had exposure to their learner models through SIV. The results showed that students could use the interface and understand the process of user model construction. The flexibility and adaptability of the toolkit has also been demonstrated in its deployment in several other application areas

    Tagging amongst friends: an exploration of social media exchange on mobile devices

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    Mobile social software tools have great potential in transforming the way users communicate on the move, by augmenting their everyday environment with pertinent information from their online social networks. A fundamental aspect to the success of these tools is in developing an understanding of their emergent real-world use and also the aspirations of users; this thesis focuses on investigating one facet of this: the exchange of social media. To facilitate this investigation, three mobile social tools have been developed for use on locationaware smartphone handsets. The first is an exploratory social game, 'Gophers' that utilises task oriented gameplay, social agents and GSM cell positioning to create an engaging ecosystem in which users create and exchange geotagged social media. Supplementing this is a pair of social awareness and tagging services that integrate with a user's existing online social network; the 'ItchyFeet' service uses GPS positioning to allow the user and their social network peers to collaboratively build a landscape of socially important geotagged locations, which are used as indicators of a user's context on their Facebook profile; likewise 'MobiClouds' revisits this concept by exploring the novel concept of Bluetooth 'people tagging' to facilitate the creation of tags that are more indicative of users' social surroundings. The thesis reports on findings from formal trials of these technologies, using groups of volunteer social network users based around the city of Lincoln, UK, where the incorporation of daily diaries, interviews and automated logging precisely monitored application use. Through analysis of trial data, a guide for designers of future mobile social tools has been devised and the factors that typically influence users when creating tags are identified. The thesis makes a number of further contributions to the area. Firstly, it identifies the natural desire of users to update their status whilst mobile; a practice recently popularised by commercial 'check in' services. It also explores the overarching narratives that developed over time, which formed an integral part of the tagging process and augmented social media with a higher level meaning. Finally, it reveals how social media is affected by the tag positioning method selected and also by personal circumstances, such as the proximity of social peers

    Salford postgraduate annual research conference (SPARC) 2012 proceedings

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    These proceedings bring together a selection of papers from the 2012 Salford Postgraduate Annual Research Conference (SPARC). They reflect the breadth and diversity of research interests showcased at the conference, at which over 130 researchers from Salford, the North West and other UK universities presented their work. 21 papers are collated here from the humanities, arts, social sciences, health, engineering, environment and life sciences, built environment and business
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