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Teaching Listening And Speaking In College English CALL Environment: An Experimental Study

Posted on:2010-11-28Degree:MasterType:Thesis
Country:ChinaCandidate:F XieFull Text:PDF
GTID:2155360302459433Subject:Foreign Linguistics and Applied Linguistics
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The emergence of English as a global language, technological innovation and a growing need for learner autonomy are changing the contexts of language learning rapidly and profoundly. More and more language teachers and researchers found the limitation of traditional foreign language teaching model and language learners are also not satisfied with their learning results which are considered incapable of satisfying our social needs after their graduation from universities and colleges. This paper tries to explore a new teaching model of listening and speaking class in college English CALL environment in order to enhance the students'listening comprehension and oral performance. Through empirical studies, many foreign language educators, experts and teachers have found that multimedia assisted English teaching, especially multimedia assisted English listening and speaking instruction has been taken as an ideal way to facilitate English listening and improve students'oral performance. Based on the researches of previous scholars, this thesis focuses on the effects of a computer-assisted college English listening and speaking teaching program in the development of non-English majors'motivation, affective factors and exposure to language input from the constructive, cognitive and humanistic perspectives and Krashen's Second Language Acquisition (SLA) theory, trying to explore the way to apply the theory of SLA and theory of learner autonomy to the classroom instruction of listening and speaking in CALL environment.Experimental research is employed in present study. Four research questions have been put forward at the beginning of the research: 1) whether the CALL can further improve students'listening comprehension; 2) whether the CALL can further enhance the students'oral performance; 3) whether the CALL can further facilitate the students'autonomous learning; 4) Whether the students can be highly motivated in the CALL leaning environment. An experiment and two surveys are carried out to answer the above questions. The subjects in the study were 60 non-English majors of 2007 in Liren College of Yanshan University. The 60 students were divided into one control group receiving the traditional listening and speaking teaching model and one experimental group receiving the computer-assisted teaching model. The experiment lasted one semester. Based on the results of the two surveys and the two tests, the following conclusions have been reached:1) The listening and speaking instruction in CALL environment is more effective than the traditional way of listening and speaking course teaching. It can greatly motivate students'learning.2) Computer-assisted English listening and speaking instruction further enriches both learners'forms and content of language input. Its unique features can arouse students'learning interest and then facilitate their autonomous learning.3) Computer-assisted listening and speaking instruction further improves students'listening and speaking abilities.These above findings are consistent with our research expectations before the experiment. In addition, the findings of this research have some pedagogical implications for college English listening and speaking classes in CALL environment:1) Much more efforts should be made on teachers'training of multimedia and Internet technology in order to make full use of CALL environment.2) Teachers need to spend much more time training students to well master multimedia and the Internet technology, which may help the students understand the advantages of CALL better.3) Teachers should not only practically but also theoretically arm themselves with linguistics, theory of SLA and provide learners with autonomous learning strategies and theories to foster and raise learners'abilities of autonomous learning.
Keywords/Search Tags:CALL, input/output, affective filter, autonomous learning, task-based learning
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