Twitter Application to Chinese Language Learning: Lessons and Suggestions

Making a connection between the requirement of 140 characters and the need of intermediate-low learners of Chinese as a second language (CSL) to produce output in a less challenging environment, this action research engaged the college CSL students in tweeting practices. Based on the descriptive statistics of the students’ tweeting behavior and the students’ responses to the survey administered at the end of the semester, this article reflects and summarizes the lessons learned. The authors propose that structural designs in the form of projects or tasks should still be considered for social networking applications such as Twitter to be used as an educational tool. How to make better use of the social-networking aspect of Twitter and build a community of CSL learners and practitioners is also discussed

10,000+ Times Accelerated Robust Subset Selection (ARSS)

Subset selection from massive data with noised information is increasingly popular for various applications. This problem is still highly challenging as current methods are generally slow in speed and sensitive to outliers. To address the above two issues, we propose an accelerated robust subset selection (ARSS) method. Specifically in the subset selection area, this is the first attempt to employ the $\ell_{p}(0<p\leq1)$-norm based measure for the representation loss, preventing large errors from dominating our objective. As a result, the robustness against outlier elements is greatly enhanced. Actually, data size is generally much larger than feature length, i.e. $N\gg L$. Based on this observation, we propose a speedup solver (via ALM and equivalent derivations) to highly reduce the computational cost, theoretically from $O(N^{4})$ to $O(N{}^{2}L)$. Extensive experiments on ten benchmark datasets verify that our method not only outperforms state of the art methods, but also runs 10,000+ times faster than the most related method

Research on the Reform and Innovation of International Student Training Mode-Bases on Textile Engineering Major

With the rapid development of world economy, international student cultivation will be facing new challenges. The article focuses on analyzing the overall development of international education in China and the practical problems and major challenges faced by universities in the process of cultivating and educating international students. And taking the textile engineering major as an example, combined with the current international situation and background, it tries to propose innovative measures and ideas in terms of platform construction, enrollment channels, and professional course construction, practical teaching and other aspects for the reform of international education, in order to provide reference for the training of international students in the future