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A Study of Processing of Communication Strategies in the Use of Foreign Languages

A Study of Processing of Communication Strategies in the Use of Foreign Languages
外语使用中交际策略处理的研究
批准号:
09680285
负责人:
IWAI Chiaki
金额:
$0.96万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
1997
资助国家:
日本
项目状态:
已结题
起止时间:
1997 至 1998

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中文摘要
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英文摘要
The research project for this study in the academic years of 1997 and 1998 consisted of two parts. One was the development of a software program to collect and analyze oral data (1997), andthe developed software was named "Speech Recording and Analysis Program (SRAP)." The other was to conduct experimental data collection for the researcher's study on communication strategies (CS) in second or foreign language use (1998).Two experiments were carried out to collect oral data from native speakers and non-native speakers of English. The first experimental data collection was conducted as a pilot study to test the usefulness and validity of the developed software. The data was collected from 18 dyads (i. e. , 36 subjects) of native and non-native speakers of English regarding communication strategies used in conversational interactions. The collected data was analyzed both quantitatively and qualitatively, and different interactive CS among three types of pairs (pairs of native speakers, p … More airs of native and non-native speakers, and pairs of non-native speakers) were revealed from the analysis. The other experimental data collection, which was originally planed at the time of application of this project, was conducted from the end of July to the beginning of August, 1998, targeting 32 subjects of Japanese college English learners. The collected data consist of personal data (English proficiency, the extent of field dependence, impulsivity, ambiguity tolerance, and English learning and use : measured by various psychological tests and a questionnaire) and data of communication strategies which was elicited from individual interviews in Japanese and English.The collected data was statistically analyzed immediately after collecting data, using the developed software, regarding temporal variables and contents of utterances. From the analysis, it was clarified, contrary to the researcher's expectancy that the subjects' first language would be the most significant predicator of CS use, that 1) English proficiency was one of the most significant factors to predict CS use, 2) impulsivity was another important factor of CS use, and 3) the actual language use also affected CS use to a great extent. Less
期刊论文(6)
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会议论文
岩井 千秋: "Qualitative Analysis of Interactive Communication Strategies" NIDABA (Linguistic Society of West Japan). No.28(印刷中). (1999)
Chiaki Iwai:“互动交流策略的定性分析”NIDABA(西日本语言学会)第 28 期(出版中)。
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通讯作者:
岩井千秋: "Qualitative Analysis of Interactive Communication Strategies" NIDABA(Linguistic Society of West Japan). No.28 印刷中. (1999)
Chiaki Iwai:《互动交流策略的定性分析》NIDABA(西日本语言学会)第 28 期出版(1999 年)。
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Influence of the Teaching English in English (TEE) Policy in the New High School Course of Study on University English Education
  • 批准号:
    26284080
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 资助金额:
    $7.74万
  • 财政年份:
    2014
  • 负责人:
    IWAI Chiaki
  • 依托单位:
Teaching Communication Strategies to Facilitate English Learners' Oral Presentation Skills
  • 批准号:
    22520577
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 资助金额:
    $2.33万
  • 财政年份:
    2010
  • 负责人:
    IWAI Chiaki
  • 依托单位:
Production of tasks and establishment of a strategic training program to improve advanced English learners' speaking competence
  • 批准号:
    19520499
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 资助金额:
    $2.75万
  • 财政年份:
    2007
  • 负责人:
    IWAI Chiaki
  • 依托单位:
Construction of a Multi-information Site Related to English Learners' Pragmatic Competence
  • 批准号:
    16320074
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
  • 资助金额:
    $3.01万
  • 财政年份:
    2004
  • 负责人:
    IWAI Chiaki
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis