English language is becoming more and more important in the 21st century while the trend of globalization is getting increasingly obvious in the worldwide. Since one of the essential missions of education is to cultivate qualified professionals and satisfy the talent demand from the economic market, many universities and technical schools have taken English as their compulsory course in the curricula. However, due to the gap of language assessment between universities and industrial companies, English language teaching and learning in higher education has not reached its goal to provide satisfying human resources for the employers. Therefore, our research takes the effort to contribute in proposing a preliminary unified assessment framework for English Language Proficiency (ELP), which fills the gaps among the higher education sectors, industrial companies and talent seeking platforms by examining heterogeneous data sources from various talent seeking platforms. Then we will apply the model in the context of Pearl River Delta Region to guide fresh graduates when they are looking for jobs. This framework can assist different stakeholders including students, companies and educational institutions in developing talent for the society. Copyright © 2018 Springer Nature Switzerland AG.
|Title of host publication||Emerging technologies for education: Third International Symposium, SETE 2018, Held in Conjunction with ICWL 2018, Chiang Mai, Thailand, August 22–24, 2018, Revised Selected Papers|
|Editors||Tianyong HAO, Wei CHEN, Haoran XIE, Wanvimol NADEE, Rynson LAU|
|Place of Publication||Cham|
|Publication status||Published - 2018|
CitationWeng, X., Xie, H., & Cai, Y. (2018). Assessment framework of English Language Proficiency for talent seeking platforms at Pearl River Delta Region. In T. Hao, W. Chen, H. Xie, W. Nadee, & R. Lau (Eds.), Emerging technologies for education: Third International Symposium, SETE 2018, Held in Conjunction with ICWL 2018, Chiang Mai, Thailand, August 22–24, 2018, Revised Selected Papers (pp. 149-155). Cham: Springer.
- Language assessment