19,340 research outputs found

    Collaboration in the Semantic Grid: a Basis for e-Learning

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    The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge based tools which have been deployed to augment existing collaborative environments, and the ontology which is used to exchange structure, promote enhanced process tracking, and aid navigation of resources before, after, and while a collaboration occurs. While the primary focus of the project has been supporting e-Science, this paper also explores the similarities and application of CoAKTinG technologies as part of a human-centred design approach to e-Learning

    QAA subject benchmark statement architecture : version for consultation December 2019

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    The Statement is intended to guide lecturers and course leaders in the design of academic courses leading to qualifications in architecture, it will also be useful to those developing other related courses. Higher education providers may need to consider other reference points in addition to this Statement in designing, delivering and reviewing courses. These may include requirements set out by the Architects Registration Board (ARB), the Royal Institute of British Architects (RIBA) and the Institute for Apprenticeships and Technical Education (IfATE). Providers may also need to consider industry or employer expectations. Individual higher education providers will decide how they use this information. The broad subject of architecture is both academic and vocational. The bachelor's award for architecture is the first stage of the typical education of an architect. This is typically either a BSc or a BA degree. The second stage of academic qualification is a master's level degree, typically in the form of a two-year MArch, which is defined as an undergraduate master's award. Architecture qualifications typically require a total of 360 (Credit Accumulation and Transfer Scheme, or CATS) credits at bachelor's level and 240 (CATS) credits within a master's level degree. While this may equate to five years of 120 (CATS) credits each, higher education providers may construct alternatives to enable flexibility in student learning. This Statement seeks to encapsulate the nature of a rich and diverse academic discipline. It is not intended to prescribe a curriculum, but rather describes the broad intellectual territory within which individual higher education providers will locate their courses of study in architecture

    Communication in family court:financial remedy proceedings from the perspective of litigants in person

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    The article presents a rationale for communicative, conceptual, cognitive and procedural challenges experienced by litigants in person in financial remedy proceedings. The article also explores oscillation between written and spoken legal genres and narrative development strategies which litigants in person have to use throughout different stages (from the early stages of starting proceedings, filling in court forms and providing documentation, through the negotiation process to interaction in court). While legal professionals express themselves in paradigmatic legal mode influenced by legal acts and legislation, litigants in person tend to express themselves in narrative mode similar to everyday storytelling. The objective is to investigate obstacles litigants in person experience during the process originally designed by legal professionals for legal professionals. The article evaluates different options for empowering lay people involved in legal proceedings and argues for the need to provide more specific support for different stages of family proceedings

    Collaborative trails in e-learning environments

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    This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future

    Flexibly Instructable Agents

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    This paper presents an approach to learning from situated, interactive tutorial instruction within an ongoing agent. Tutorial instruction is a flexible (and thus powerful) paradigm for teaching tasks because it allows an instructor to communicate whatever types of knowledge an agent might need in whatever situations might arise. To support this flexibility, however, the agent must be able to learn multiple kinds of knowledge from a broad range of instructional interactions. Our approach, called situated explanation, achieves such learning through a combination of analytic and inductive techniques. It combines a form of explanation-based learning that is situated for each instruction with a full suite of contextually guided responses to incomplete explanations. The approach is implemented in an agent called Instructo-Soar that learns hierarchies of new tasks and other domain knowledge from interactive natural language instructions. Instructo-Soar meets three key requirements of flexible instructability that distinguish it from previous systems: (1) it can take known or unknown commands at any instruction point; (2) it can handle instructions that apply to either its current situation or to a hypothetical situation specified in language (as in, for instance, conditional instructions); and (3) it can learn, from instructions, each class of knowledge it uses to perform tasks.Comment: See http://www.jair.org/ for any accompanying file

    Applying the methodology of learner corpus analysis to telecollaborative discourse

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    This is a Version of Record that has been published in Researching online foreign language interaction and exchange: Theories, methods and challenges edited by M. Dooly & R. O'Dowd. The original work can be found at: https://doi.org/10.3726/978-3-0351-0414-1. ©Peter Lang AG, 2012. All rights reserve

    The discursive construction of mobile chronotopes in mobile-phone messaging

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    This article draws on data from an ethnographic project to explore the ways in which migrant micro-entrepreneurs exploit mobile messaging apps to co-construct mobile chronotopes: dynamic configurations of time and space negotiated by geographically separated participants, who draw on different contexts and frames of understanding. Analysis of mobile messages by two couples—Chinese butchers in Birmingham and Polish shop-owners in London—informed by interview and interactional data collected at work and home, suggests they discursively negotiate and exploit multiple chronotopic layers, creating complex intersections between virtual and physical spaces in everyday interactions. We focus on the role that multilingual and multimodal semiotic resources play in co-constructing mobile chronotopes. In particular, we explore critical junctures at which communicative expectations are challenged, rendering mobile chronotope negotiation visible. Our concept of the mobile chronotope has implications for both the theorisation of mobile phone communication and understanding how chronotopes function in contemporary transnational migrant discourse

    Human-centred explanations for artificial intelligence systems

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    As Artificial Intelligence (AI) systems increase in capability, so there are growing concerns over the ways in which the recommendations they provide can affect people's everyday life and decisions. The field of Explainable AI (XAI) aims to address such concerns but there is often a neglect of the human in this process. We present a formal definition of human-centred XAI and illustrate the application of this formalism to the design of a user interface. The user interface supports users in indicating their preferences relevant to a situation and to compare their preferences with those of a computer recommendation system. A user trial is conducted to evaluate the resulting user interface. From the user trial, we believe that users are able to appreciate how their preferences can influence computer recommendations, and how these might contrast with the preferences used by the computer. We provide guidelines of implementing human-centred XAI.</p

    Diagnostic assessment of reading and listening in a second or foreign language:elaborating on diagnostic principles

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    Alderson, Brunfaut and Harding (2014) recently investigated how diagnosis is practised across a range of professions in order to develop a tentative framework for a theory of diagnosis in second or foreign language (SFL) assessment. In articulating this framework, a set of five broad principles were proposed, encompassing the entire enterprise of diagnostic assessment. However, there remain questions about how best to implement these principles in practice, particularly in identifying learners’ strengths and weaknesses in the less well-documented areas of SFL reading and listening. In this paper, we elaborate on the set of principles by first outlining the stages of a diagnostic process built on these principles, and then discussing the implications of this process for the diagnostic assessment of reading and listening. In doing so, we will not only elaborate on the theory of diagnosis with respect to its application in the assessment of these skills, but also discuss the ways in which each construct might be defined and operationalized for diagnostic purposes
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