Trialing project-based learning in a new EAP ESP course: A collaborative reflective practice of three college English teachers

Currently in many Chinese universities, the traditional College English course is facing the risk of being ‘marginalized’, replaced or even removed, and many hours previously allocated to the course are now being taken by EAP or ESP. At X University in northern China, a curriculum reform as such is taking place, as a result of which a new course has been created called ‘xue ke’ English. Despite the fact that ‘xue ke’ means subject literally, the course designer has made it clear that subject content is not the target, nor is the course the same as EAP or ESP. This curriculum initiative, while possibly having been justified with a rationale of some kind (e.g. to meet with changing social and/or academic needs of students and/or institutions), this is posing a great challenge for, as well as considerable pressure on, a number of College English teachers who have taught this single course for almost their entire teaching career. In such a context, three teachers formed a peer support group in Semester One this year, to work collaboratively co-tackling the challenge, and they chose Project-Based Learning (PBL) for the new course. This presentation will report on the implementation of this project, including the overall designing, operational procedure, and the teachers’ reflections. Based on discussion, pre-agreement was reached on the purpose and manner of collaboration as offering peer support for more effective teaching and learning and fulfilling and pleasant professional development. A WeChat group was set up as the chief platform for messaging, idea-sharing, and resource-exchanging. Physical meetings were supplementary, with sound agenda but flexible time, and venues. Mosoteach cloud class (lan mo yun ban ke) was established as a tool for virtual learning, employed both in and after class. Discussions were held at the beginning of the semester which determined only brief outlines for PBL implementation and allowed space for everyone to autonomously explore in their own way. Constant further discussions followed, which generated a great deal of opportunities for peer learning and lesson plan modifications. A reflective journal, in a greater or lesser detailed manner, was also kept by each teacher to record the journey of the collaboration. At the end of the semester, it was commonly recognized that, although challenges existed, the collaboration was overall a success and they were all willing to continue with it and endeavor to refine it to be a more professional and productive approach

Integrating terminological methods in a framework for collaborative development of semi-formal ontologies

Despite the availability of tools, resources and techniques aimed at the construction of ontological artifacts, developing a shared conceptualization of a given reality still raises questions about the principles and methods that support the initial phases of conceptualization. To tackle this issue a collaborative platform was developed where terminological and knowledge representation processes support domain experts throughout a conceptualization framework. In this article we describe the integration of a terminological method to support experts in eliciting and organizing concepts of their domain. The method is based on a linguistic analysis of textual resources with the help of a term extraction tool and by highlighting markers of relations between concepts. An application scenario is then presented to illustrate the connection between the terminological processes and the knowledge representation processes without blurring the theoretical distinction between terms and concepts.info:eu-repo/semantics/publishedVersio

Building professional discourse in emerging markets: Language, context and the challenge of sensemaking

Using ethnographic evidence from the former Soviet republics, this article examines a relatively new and mainly unobserved in the International Business (IB) literature phenomenon of communication disengagement that manifests itself in many emerging markets. We link it to the deficiencies of the local professional business discourse rooted in language limitations reflecting lack of experience with the market economy. This hampers cognitive coherence between foreign and local business entities, adding to the liability of foreignness as certain instances of professional experience fail to find adequate linguistic expression, and complicates cross-cultural adjustments causing multi-national companies (MNCs) financial losses. We contribute to the IB literature by examining cross-border semantic sensemaking through a retrospectively constructed observational study. We argue that a relative inadequacy of the national professional idiom is likely to remain a feature of business environment in post-communist economies for some time and therefore should be factored into business strategies of MNCs. Consequently, we recommend including discursive hazards in the risk evaluation of international projects

Contesting international trade agreements. Argumentative patterning in embedded discourses

This chapter looks at the ideological positioning and argumentation patterning of three sets of interrelated data, which can be considered vertically organized in a hierarchical configuration: these sub-corpora consist of the drafts of a major International Trade Agreement, the TiSA, (Trade in Services Agreement), a series of revelations and exposures authored by WikiLeaks, and a collection of online publications produced by the campaigning group, Friends of the Earth International. The objective is to identify how a process of ‘entextualization’ is realized through the various discourses—from the normative codification of legislation, on to the detailed specialist exposition and critique from legal experts, and over to the affectively-charged discourse of resistance and protest in the public domain. The conceptual and explanatory frameworks for the analysis derive from two disciplinary fields, argumentative studies and discourse analysis, where the role of language studies in describing discursive construal has traditionally played rather different roles. The analysis of the corpus starts from a linguistic perspective, comparing and contrasting semantic profiling, topicalization, and verb usage over the three sub-corpora. Using accounts of argumentative structure and procedures—elaborating the notions of schema, frames, moves and strategies, it is possible to identify distinctive patterns of reasoning, revealed through linguistic indexicality. In this way, argumentation can be related to the three varying communicative contexts, their authorship, audiences and rhetorical purposes. This study is, therefore, an attempt to integrate the two fields of argumentation studies and discourse analysis more systematically, recognizing the mutual benefits this carries for both, providing a body of empirical evidence necessary to further theoretical models and theories of argumentation, on the one hand, while extending discourse analysis into more challenging areas of investigation and taking a wider textual perspective than has often been common to date

EVALUATING SEMANTIC ANALYSIS METHODS FOR SHORT ANSWER GRADING USING LINEAR REGRESSION

The assessment of free-text answers may demand significant human effort, especially in scenarios with many students. This paper focuses on the automatic grading of short answer written in Portuguese language using techniques of natural language processing and semantic analysis. A previous study found that a similarity scoring model might be more suitable to a question type than to another. In this study, we combine latent semantic analysis (LSA) and a WordNet path-based similarity method using linear regression to predict scores for 76 short answers to three questions written by high school students. The predicted scores compared well to human scores and the use of combined similarity scores showed an improvement in overall results in relation to a previous study on the same corpus. The presented approach may be used to support the automatic grading of short answer using supervised machine learning to weight different similarity scoring models. &nbsp

Proceedings of the Workshop Semantic Content Acquisition and Representation (SCAR) 2007

This is the proceedings of the Workshop on Semantic Content Acquisition and Representation, held in conjunction with NODALIDA 2007, on May 24 2007 in Tartu, Estonia.</p

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201