Context at the Crossroads of Language Learning and Mobile Learning

Contextual learning is the next step in the development of pedagogy in relation to mobile and ubiquitous technologies. The question addressed in this paper is whether research on 'context' within second language learning, and in the language sciences more broadly, can inform the development of the notion of context in research on technology-enhanced learning and mobile learning. As researchers in mobile assisted language learning, we stand at the crossroads of these disciplines. In this paper, we indicate the main sources and research directions that inform our work; we share our observations and propose some tentative conclusions

Contextualizing Language Learning in the Digital Wild: Tools and a Framework

[[abstract]]A premise of this paper is that there are distinctive qualities of the domain of language which render learning a language uniquely suitable for a radical contextualization within digital environments. The paper thus describes and illustrates an approach to supporting foreign language learning ubiquitously in unrestricted networked environments. The two tools presented focus on vocabulary learning. The collocator tool detects and highlights collocations (such as 'prescribe medicine' or 'stiff competition') in real time on any Web page the user is viewing. The user can select any of the highlighted collocations for focused attention, activating a 'push' mechanism that provides repeated examples of the collocation over the ensuing days. Word Spider allows users to select unknown words in any Web text and it responds by finding semantically related words in its context, automatically annotating these, exploiting them as contextual clues to the meaning of the targeted unknown word.[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20040830~20040901[[iscallforpapers]]Y[[conferencelocation]]Finland, Joensu

Methods for extension of ground shipment windows through a supplier collaboration initiative

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, June 2011."June 2011." Cataloged from PDF version of thesis.Includes bibliographical references (p. 77-78).Amazon.com is a leading retailer and UPS is the leading package delivery company in the world. Amazon spends hundreds of millions of dollars each year shipping products to customers via parcel carriers such as UPS. Arguably, both companies rely on each other for their future success and are therefore interested in developing a closer relationship. But supplier collaboration efforts are challenging and partnerships between industry leading companies are not common. This research paper demonstrates a case study where two industry giants are working together on a process improvement projects to better serve their customers. This project has a goal of finding opportunities to delivery and sort UPS Ground packages more efficiently so as to allow for a longer window of time each day that the UPS Ground ship method is available. Additional goals exist around implementing more consistent processes and delivering product to UPS earlier in the evening for more efficient sorting. This project demonstrated that significant transportation savings can be achieved through these process improvements. Amazon and UPS are able to work together in a productive way to strengthen their long term relationships.by David Barry Wible.S.M.M.B.A

Automating repeated exposure to target vocabulary for second language learners

[[abstract]]A Web-based tool is described, called the Supplementary Reading Provider (SRP), devised to find related readings according to the learners' lexical level which offer repeated exposure to the target vocabulary. The SRP exploits text retrieval techniques based upon the hypothesis that there is a parallel between text similarity measurement on the one hand and the pedagogical task of providing supplementary readings which offer repeated exposure to new vocabulary on the other. Two criteria are compared for finding supplementary passages from a corpus of reading: one matches keywords of the original passage and those of the corpus passages, the other matches target vocabulary words without regard to keywords. The integration of SRP into a Web-based language learning platform called IWiLL is described as well.[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20010806~20010808[[booktype]]紙本[[iscallforpapers]]Y[[conferencelocation]]Madison, WI, US

Cyberinfrastructure for Scalable Access to Stream Flow Analysis

Traditionally the various components of flow analysis including flooding, drought, base - flow, pollutant loading, and duration curves have been examined independently by various analysis methods or software packages. A better approach would be to combine these multiple packages into a single web - tool to improve access . Infrastructure - as - a - Service (IaaS) cloud provides a scalable infrastructure for model implementation , which is a necessity of web services due to the characteristics of web traffic. IaaS centralizes the computational burden and overhead of multiple model runs from local computers to online servers. This paper demonstrates the scalability benefits of the Comprehensive Flow Analysis (CFA) tool in an IaaS environment . The CFA tool is available through the Environmental Risk Assessment Management System (eRAMS) website. eRAMS facilitates GIS data manipulation, visualization, and preparation of input information for models lik CFA . eRAMS uses the Cloud Services Innovation Platform (CSIP) to request runs of the analyses with in CFA. CSIP is an IaaS cloud modeling framework designed for executing various environmental models. This paper summarizes a scalability analysis of the analysis methods within CFA using CSIP in a cloud server environment