Institution
Manchester Metropolitan University
Education•Manchester, Manchester, United Kingdom•
About: Manchester Metropolitan University is a education organization based out in Manchester, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5435 authors who have published 16202 publications receiving 442561 citations. The organization is also known as: Manchester Polytechnic & MMU.
Papers published on a yearly basis
Papers
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TL;DR: Using engineered surfaces with defined properties, it has been shown that manipulation of a single parameter (surface roughness) had an effect on the strength of microbial retention.
155 citations
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TL;DR: A generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style is proposed.
Abstract: This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and personalising the tutorial to boost confidence and improve the effectiveness of the learning experience Learners can intuitively explore and discuss topics in natural language, helping to establish a deeper understanding of the topic The Oscar CITS methodology and architecture are independent of the learning styles model and tutoring subject domain Oscar CITS was implemented using the Index of Learning Styles (ILS) model (Felder & Silverman, 1988) to deliver an SQL tutorial Empirical studies involving real students have validated the prediction of learning styles in a real-world teaching/learning environment The results showed that all learning styles in the ILS model were successfully predicted from a natural language tutoring conversation, with an accuracy of 61-100% Participants also found Oscar's tutoring helpful and achieved an average learning gain of 13%
155 citations
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TL;DR: Meinshausen et al. as discussed by the authors showed how the lower complexity carbon cycle-climate model MAGICC6 can be calibrated to emulate, with considerable accuracy, globally aggregated characteristics of these more complex models.
Abstract: . Intercomparisons of coupled atmosphere-ocean general circulation models (AOGCMs) and carbon cycle models are important for galvanizing our current scientific knowledge to project future climate. Interpreting such intercomparisons faces major challenges, not least because different models have been forced with different sets of forcing agents. Here, we show how an emulation approach with MAGICC6 can address such problems. In a companion paper (Meinshausen et al., 2011a), we show how the lower complexity carbon cycle-climate model MAGICC6 can be calibrated to emulate, with considerable accuracy, globally aggregated characteristics of these more complex models. Building on that, we examine here the Coupled Model Intercomparison Project's Phase 3 results (CMIP3). If forcing agents missed by individual AOGCMs in CMIP3 are considered, this reduces ensemble average temperature change from pre-industrial times to 2100 under SRES A1B by 0.4 °C. Differences in the results from the 1980 to 1999 base period (as reported in IPCC AR4) to 2100 are negligible, however, although there are some differences in the trajectories over the 21st century. In a second part of this study, we consider the new RCP scenarios that are to be investigated under the forthcoming CMIP5 intercomparison for the IPCC Fifth Assessment Report. For the highest scenario, RCP8.5, relative to pre-industrial levels, we project a median warming of around 4.6 °C by 2100 and more than 7 °C by 2300. For the lowest RCP scenario, RCP3-PD, the corresponding warming is around 1.5 °C by 2100, decreasing to around 1.1 °C by 2300 based on our AOGCM and carbon cycle model emulations. Implied cumulative CO2 emissions over the 21st century for RCP8.5 and RCP3-PD are 1881 GtC (1697 to 2034 GtC, 80% uncertainty range) and 381 GtC (334 to 488 GtC), when prescribing CO2 concentrations and accounting for uncertainty in the carbon cycle. Lastly, we assess the reasons why a previous MAGICC version (4.2) used in IPCC AR4 gave roughly 10% larger warmings over the 21st century compared to the CMIP3 average. We find that forcing differences and the use of slightly too high climate sensitivities inferred from idealized high-forcing runs were the major reasons for this difference.
155 citations
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TL;DR: The findings of this study stress the importance of treatment professionals attending to the therapeutic alliance in drug treatment, as counsellors' alliance ratings were found to be amongst the strongest predictors of dropout.
154 citations
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TL;DR: In this article, the authors argue that the concept and construct of convenience is at the forefront of customer and user evaluation of service experiences and should play a much more pivotal role in marketing theory than it does at present.
Abstract: This theoretical paper argues that the concept and construct of convenience is at the forefront of customer and user evaluation of service experiences and should play, therefore, a much more pivotal role in marketing theory than it does at present. With increasing evidence that convenience is important to customers, it is timely to revisit the concept with a view to developing a research agenda that delivers an improved understanding of the nature of convenience. Accordingly, the paper concludes by proposing a definition of convenience and offering questions for further research based on a critique of existing models of convenience, and on the positioning of convenience in relation to associated concepts such as customer value, co-production and experiential consumption.
154 citations
Authors
Showing all 5608 results
Name | H-index | Papers | Citations |
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David T. Felson | 153 | 861 | 133514 |
João Carvalho | 126 | 1278 | 77017 |
Andrew M. Jones | 103 | 764 | 37253 |
Michael C. Carroll | 100 | 399 | 34818 |
Mark Conner | 98 | 379 | 47672 |
Richard P. Bentall | 94 | 431 | 30580 |
Michael Wooldridge | 87 | 543 | 50675 |
Lina Badimon | 86 | 682 | 35774 |
Ian Parker | 85 | 432 | 28166 |
Kamaruzzaman Sopian | 84 | 989 | 25293 |
Keith Davids | 84 | 604 | 25038 |
Richard Baker | 83 | 514 | 22970 |
Joan Montaner | 80 | 489 | 22413 |
Stuart Robert Batten | 78 | 325 | 24097 |
Craig E. Banks | 77 | 569 | 27520 |