英文摘要 |
The data-driven learning (DDL) approach has been applied in learning English for over a decade. However, corpus-based pedagogy has not been widely applied to Chinese as a second language (CSL) teaching, the main reason may be that CSL teachers are relatively lacking corpus literacy, such as familiarity with corpus tools, corpus consulting techniques, corpus-based pedagogical activities, etc. To cultivate corpus literacy and promote DDL application in future classrooms, 73 CSL teachers participated in a 4-week, 3-hour/week DDL training workshop. The workshop was divided into four topics: the introduction to Chinese corpora, corpus consulting techniques, hands-on training for corpus analysis tools (e.g. AntConc), and pedagogical designs or activities for guiding learners in inducting or deducting rules from corpus data. After the workshop, a post-workshop questionnaire consisting of 39 Likert scale questions and four open-ended questions was distributed to participants. The 36 quantitative questions were divided into seven variables that reflect the traits of the participants. These variables were self-evaluations of their (1) motivations for participating in the workshop, (2) prior knowledge of corpora, (3) skills toward using corpora after the workshop, (4) negative perceptions of adopting corpora in teaching, (5) skills to implement and design DDL activities, (6) willingness to adopt corpus-based methods in future teaching, and (7) evaluation of the workshop. The results of Spearman’s rank-order correlation test indicated that regardless of the level of motivation of the teachers to attend the workshop, they could build corpus-related abilities through lectures and practice; and teachers who had more prior knowledge of corpora and with greater confidence in their skills to operate corpora, the more likely to perform DDL teaching activities in their future classrooms. These results suggest that cultivating teachers’ corpus literacy is effective, and continually offering training courses can facilitate implementing the corpus-based approach in the future. |