大數據應用於任務型教學觀的新住民人工智能語言課程規劃研究

With the Asian Silicon Valley Project launched in 2018, the global innovation information platform has impact on the promotion of the optimization of the information integration. Coupled with the government's New Southbound Policy, the research on immigrants from South East Asian countries has increased in the last decade. In order to secure rights of entry, permanent residence or citizenship, adult migrants are required to demonstrate proficiency in the language of the host country. Since the language and culture background of the immigration societies are large and complex to be dealt with, this study adapts big data to develop language curriculum for immigrants in Taiwan. The scientific and systematic method of language planning not only can help more than 500,000 new immigrants breaking through language barriers, but quickly and effectively integrate into Taiwan society. Employing Big Data to understand the existed immigration courses provided by the public and private sectors, we can conduct language curriculum planning based on both unstructured data and structured, which is an innovation from traditional method of conducting questionnaires and interviews. Learner's needs and their personal profiles can continuously be observed, systematically extract information from. If new immigrants can become bilingual speakers of Chinese and their mother tongue, they will be great assets for the Asian Silicon Valley Project and the New Southbound Policy. Languages are a fundamental aspect of people’s lives and the democratic functioning of society. Considering the Chinese language learning motivation and the benefits of mastering the language for immigrants, the two-way perspective from the immigrants’ demand and the government policy describes the perceived needs of immigrants as well as of the host community. It is very time-consuming if one has to conduct questionnaires and interviews to study relevant research variables, including: how the government policy, the social roles of immigrants, such as: elite professionals, migrant workers (foreign labor, foreign care givers, etc.), spouses, children of new immigrants, and the language and culture background of immigrants. Since language curriculum planning should be dynamic, and to reflect the needs of immigrant society, appropriate contemporary language learning methods should be considered as well as the immigration policy of the host country. The research objectives of this study are as follows: 1. scientifically develop the curriculum for immigrants, 2. Conduct needs analysis and factor analysis through big data, 3. Integrate task-based teaching approach to artificial intelligence language learning and curriculum planning. This research provides a new method for decision makers and for providers, designers and teachers of language courses for adult immigrants. This study takes account of the language learning needs from a societal perspective. Combining language teaching in the reception country with vocational training, enable migrant workers to acquire skills or enhance their qualifications. The innovative method will presents a scientific route to follow in order to describe adult immigrants’ language learning needs from a task-based perspective, and explain how big data and AI can be employed as a basis for the development of language curriculum planning for adult immigrants in Taiwan.