Evaluation of the DDL training workshop for in-service Chinese language teachers
Intelligent CALL, granular systems and learner data: short papers from EUROCALL 2022(2022)
摘要
In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop questionnaire to understand how the individual-level traits of Chinese teachers (such as their experience, ability, and motivations) relate to their integration of corpus-based methods. The questionnaire results indicate that teacher confidence in using the corpus is critical for the future application of DDL in teaching Chinese as a second language. Teachers who use corpus-based pedagogies are more positive at designing and guiding DDL activities and are more willing to practice DDL in language classes.
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