WEN Qiufang

WEN Qiufang, Professor of applied linguistics, works as a full-time researcher at the National Research Center for Foreign Language Education affiliated to Beijing Foreign Studies University (BFSU).  She also serves as Director of BFSU Academy of Language Sciences. She has published more than 200 papers and 20 monographs, and has finished/is conducting more than 30 research projects. Currently she is Vice president of Asia TEFL (2017-2021) and serves as chief-in-editor of Chinese Journal of Applied Linguistics (English) and Foreign Language Education in China (Chinese). She is also a member of editorial board of System and Journal of English as a lingua franca. Her research interests include second language teaching and learning, teacher professional development and national language capacity.

Developing Cloud Communities of Foreign Language Teachers across Different Regions in China

The first two-year cloud(online)community, with 130 foreign language teachers from more than 90 universities located at different parts of China, has been completed. The second two-year cloud community began in March, 2022. About 400 teachers from more than 130 universities have joined the second one.  Developing such communities across the whole country serves two purposes: 1) to overcome geographical barriers and inequality of educational resources in China and 2) to promote the production-oriented approach, an innovative pedagogy proposed by the Chinese scholar. Based on practice, a theory of cloud interconnectedness has been put forward for developing such cloud communities alike. The theory can be best illustrated diagrammatically in three circles. The inner circle includes cognitive, social and emotional interconnectedness, with “problem chains” as a node of the links. The middle circle demonstrates the working process of the online activities, consisting of three phases: preparation, formal gathering and follow-up. The outer circle shows human-network interconnections as the basis of the cloud community. The theory of cloud interconnectedness has three assumptions: 1) The closer the interconnectedness, the better the learning outcomes. 2) The degree of interconnectedness depends on the quality of the designed “problem chains” based on specific tasks. 3) The three types of interconnectedness function at the whole working process to achieve the desired outcome.