I’m Doing Better on My Own: Social Inhibition in Vocabulary Learning in Adults

Published: 05 June 2019Vocabulary learning is better achieved by children facing a teacher than when presented to the same teacher through video (so-called “video deficit” effect), which has significant implications for toddlers’ education. Since millions of adults also learn new vocabulary when acquiring a second language (L2), it is important to explore whether adults suffer from “video deficit” effects, as children do. In the present study, we report two experiments in which Spanish native late learners of English were involved in a vocabulary learning task. In Experiment 1, participants had to learn English (L2) labels associated to real objects. In Experiment 2, participants had to learn English (L2) and Spanish (L1) labels associated to novel objects. In both experiments, vocabulary learning was divided into three conditions: In the NoFace condition, participants were presented with the objects and their auditory labels, through video. In the Video condition, a teacher was showing the objects and uttering their names, through video. The Live condition was equivalent, except that the teacher was facing the participants in the room. Each condition was followed by a recall test. Better learning in Video compared to NoFace condition revealed that adults benefit from the teacher’s display with direct gaze, confirming the fundamental role of face display with direct gaze in social communication in adults. Interestingly, adults learned better through Video than in the Live condition. Those results were obtained in L2 vocabulary learning in both Experiments 1 and 2, and also generalized to native language in Experiment 2. We argue that adults suffer from social inhibition, meaning that they perform worse when in the presence of another person during task performance. In sum, we show that video-mediated teaching might not be detrimental for adults learning new vocabulary lists, as it is the case for young children. These results might have important implications for pedagogical programs targeting adults’ second language vocabulary learning, since proper acquisition of vocabulary list can be achieved through video including a teacher’s display.This research was funded by a grant from the FP7/2007–2013 Cooperation grant agreement 613465-AThEME, an ERC grant from the European Research Council (ERC-2011-ADG-295362), grants from the Spanish Government (PSI2014-54500, PSI2015-65694, and PSI2017-82941-P), and from the Basque Government (PI_2015_1_25 and PIBA18_29)

Vector statistics of LANDSAT imagery

A digitized multispectral image, such as LANDSAT data, is composed of numerous four dimensional vectors, which quantitatively describe the ground scene from which the data are acquired. The statistics of unique vectors that occur in LANDSAT imagery are studied to determine if that information can provide some guidance on reducing image processing costs. A second purpose of this report is to investigate how the vector statistics are changed by various types of image processing techniques and determine if that information can be useful in choosing one processing approach over another

Cladding strategies for building-integrated photovoltaics

Photovoltaic cladding on the surfaces of commercial buildings has the potential for considerable reductions in carbon emissions due to embedded renewable power generation displacing conventional power utilization. In this paper, a model is described for the optimization of photovoltaic cladding densities on commercial building surfaces. The model uses a modified form of the ‘fill factor’ method for photovoltaic power supply coupled to new regression-based procedures for power demand estimation. An optimization is included based on a defined ‘mean index of satisfaction’ for matched power supply and demand (i.e., zero power exportation to the grid). The mean index of satisfaction directly translates to the reduction in carbon emission that might be expected over conventional power use. On clear days throughout the year, reductions of conventional power use of at least 60% can be achieved with an optimum cladding pattern targeted to lighting and small power load demands

Embedding life cycle costing in 5D BIM

Life Cycle Costing (LCC) is the consideration of all ‘relevant’ costs and revenues associated with the acquisition and ownership of an asset. LCC has a number of relevant applications, these include project appraisal; facilities management; procurement and tendering and as a means to evaluate sustainable construction. Although these advantages are well recognised, the process is underutilised due to a number of documented barriers to adoption. Notably these include lack of accurate historical databases; the perceived complexity and time consuming nature of the calculations; lack of a standard LCC methodology, and that clients are not requesting LCC. The research presented is framed in recognition of these barriers, investigating a process that could affect change by increasing efficiency in this area. A Building Information Modelling (BIM) approach to construction procurement is being increasingly utilised as a collaborative set of procedures and associated technologies that assist design and construction professions in conceiving, designing, constructing and operating the built environment. Although 5D BIM (Cost Modelling) is currently being used in Quantity Surveying (QS) practice, BIM is not extensively used in the application of LCC and there has been limited research in this area to date. The research demonstrates the development of a 5D BIM based LCC solution, where LCC is integrated into the 5D BIM process by embedding an LCC calculation model structure within an existing 5D BIM technology. This process represents a change to the 5D BIM workflow, adding on a facility for LCC through post-processing BIM data. The research is carried out under a design science research methodology, to develop and then evaluate the solution proposed. An evaluation method known as ‘Thinking Aloud cooperative evaluation’ is used to gain feedback from a sample of QSs utilising the 5D BIM based LCC solution. The purpose of the evaluation is to gauge whether LCC can be effectively embedded in a 5D BIM platform. The contribution to knowledge is the articulation of a process which extends 5D BIM for LCC, by leveraging an existing 5D BIM technology. The findings outline that the primary benefits of the proposed process/system is that it allows for a link between the QSs cost plans/BOQ’s and their LCC calculations in an integrated environment

Supporting the development and delivery of the Level 3 DEC! learning programme : enhancing the pathway to higher education and employment through local HEI and School partnership

This report outlines the key findings and benefits from this BIM4Education project, and the partnership between St. Ambrose Barlow RC High School, The University of Salford, and Class Of Your Own. The purpose of the report is to document evidence of the value for all contributors to the DEC curriculum, i.e. pupils, teaching staff, schools, and HE partners

Experimental and analytical strains in an edge-cracked sheet

Elastoplastic strain distribution in edge-cracked metal sheets determined by optical interference and moire technique

Imaging Photon Lattice States by Scanning Defect Microscopy

Microwave photons inside lattices of coupled resonators and superconducting qubits can exhibit surprising matter-like behavior. Realizing such open-system quantum simulators presents an experimental challenge and requires new tools and measurement techniques. Here, we introduce Scanning Defect Microscopy as one such tool and illustrate its use in mapping the normal-mode structure of microwave photons inside a 49-site Kagome lattice of coplanar waveguide resonators. Scanning is accomplished by moving a probe equipped with a sapphire tip across the lattice. This locally perturbs resonator frequencies and induces shifts of the lattice resonance frequencies which we determine by measuring the transmission spectrum. From the magnitude of mode shifts we can reconstruct photon field amplitudes at each lattice site and thus create spatial images of the photon-lattice normal modes

Atmospheric circulation patterns, cloud-to-ground lightning, and locally intense convective rainfall associated with debris flow initiation in the Dolomite Alps of northeastern Italy

The Dolomite Alps of northeastern Italy experience debris flows with great frequency during the summer months. An ample supply of unconsolidated material on steep slopes and a summer season climate regime characterized by recurrent thunderstorms combine to produce an abundance of these destructive hydro-geologic events. In the past, debris flow events have been studied primarily in the context of their geologic and geomorphic characteristics. The atmospheric contribution to these mass-wasting events has been limited to recording rainfall and developing intensity thresholds for debris mobilization. This study aims to expand the examination of atmospheric processes that preceded both locally intense convective rainfall (LICR) and debris flows in the Dolomite region. 500 hPa pressure level plots of geopotential heights were constructed for a period of 3 days prior to debris flow events to gain insight into the synoptic-scale processes which provide an environment conducive to LICR in the Dolomites. Cloud-to-ground (CG) lightning flash data recorded at the meso-scale were incorporated to assess the convective environment proximal to debris flow source regions. Twelve events were analyzed and from this analysis three common synoptic-scale circulation patterns were identified. Evaluation of CG flashes at smaller spatial and temporal scales illustrated that convective processes vary in their production of CF flashes (total number) and the spatial distribution of flashes can also be quite different between events over longer periods. During the 60 min interval immediately preceding debris flow a majority of cases exhibited spatial and temporal colocation of LICR and CG flashes. Also a number of CG flash parameters were found to be significantly correlated to rainfall intensity prior to debris flow initiation