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Li, Wendong; Gong, Yang – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2023
This study adopted a social network perspective to explore the academic discourse socialization experiences of eight degree-seeking multilingual international students at a university in eastern China. Based on a triangulation of ethnographic interviews, social network questionnaires, and supplementary sources (e.g., voluntarily submitted…
Descriptors: Social Networks, Socialization, Academic Language, Network Analysis
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Ning, Ruochen – Journal of Multilingual and Multicultural Development, 2022
Social networks have been investigated as an important factor to understand social and language innovations for decades. Most researchers focus on one-language-dominated societies when studying social networks' influence on language practice while studies on bilingual societies remain scarce. In this study, we examine how Chinese graduate students…
Descriptors: Graduate Students, Student Attitudes, Social Networks, Asians
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Liu, Qingtang; Zhang, Si; Wang, Qiyun; Chen, Wenli – IEEE Transactions on Learning Technologies, 2018
Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…
Descriptors: Information Retrieval, Data Collection, Data Analysis, Discourse Analysis
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use