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Task-Based Learning in Task-Based Teaching: Training Teachers of Chinese as a Foreign Language

Published online by Cambridge University Press:  03 October 2018

ZhaoHong Han*
Affiliation:
Teachers College, Columbia Universityhan@tc.columbia.edu
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Abstract

Task-based language teaching (TBLT) is increasingly becoming known for its distinct edge in developing learners’ functional competence. Although its potential in promoting content learning has yet to be realized and explored, it should be high, given TBLT's primary attention to meaning. To what extent does the potential play out in foreign language teacher education, a domain involving much content learning, is both an intellectually stimulating and practically meaningful question. This article reports on a semester-long study investigating task-based learning in a Chinese language teacher-training program that promotes TBLT. The participants were three Chinese-speaking trainees, who, while being exposed to TBLT, performed ongoing tasks. Data from one task—writing weekly reading journals—were analyzed for both content and language, quantitatively (using robust automated tools) and qualitatively. The results show tangible gains on both counts—understanding TBLT (content) and the ability to articulate it (language). The conceptual and methodological implications of the findings are discussed for future research.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

TABLE 1. Results of Automated Analyses of Sample Writing

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TABLE 2. Chapter Titles in Doing Task-Based Teaching (Willis & Willis, 2007)

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FIGURE 1. Cognitive processes scores for all participants across 10 entries with linear forecasts.

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FIGURE 2. Analytic thinking scores for all participants across 10 entries with linear forecasts.

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FIGURE 3. Clout scores for all participants across 10 entries with linear forecasts.

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FIGURE 4. Authenticity scores for all participants across 10 entries with linear forecasts.

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FIGURE 5. Emotional tone scores for all participants across 10 entries with linear forecasts.

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TABLE 3. LIWC for All Participants: Mean, Standard Deviation, and Range

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TABLE 4. Participant Rankings Based on LIWC Analyses

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FIGURE 6. Lexile scores for all participants across 10 entries with moving averages.