This paper proposes a textual analytics approach to the discovery of trends and variations in social development. Specifically, we have designed a linguistic index that measures the marked usage of gendered modifiers in the Chinese language; this predicts the degree of occupational gender segregation by identifying the unbalanced distribution of males and females across occupations. The effectiveness of the linguistic index in modelling occupational gender segregation was confirmed through survey responses from 244 participants, covering 63 occupations listed in the Holland Occupational Codes. The index was then applied to explore the trends and variations of gender equality in occupation, drawing on an extensive digital collection of materials published by the largest newspaper group in China for both longitudinal (from 1946 to 2018) and synchronic (from 31 provincial-level administrative divisions) data. This quantitative study shows that (1) the use of gendered language has weakened over time, indicating a decline in occupational gender stereotyping; (2) conservative genres have shown higher degrees of gendered language use; (3) culturally conservative, demographically stable, or geographically remote regions have higher degrees of gendered language use. These findings are discussed with consideration of historical, cultural, social, psychological, and geographical factors. While the existing literature on gendered language has been an important and useful tool for reading a text in the context of digital humanities, an innovative textual analytics approach, as shown in this paper, can prove to be a crucial indicator of historical trends and variations in social development.

Gender is a construction in line with social perception and judgment. An important means of this construction is through languages. When natural language processing tools, such as word embeddings, associate gender with the relevant categories of social perception and judgment, it is likely to cause bias and harm to those groups that do not conform to the mainstream social perception and judgment. Using 12,251 Chinese word embeddings as intermedium, this paper studies the relationship between social perception and judgment categories and gender. The results reveal that these grammatical gender-neutral Chinese word embeddings show a certain gender bias, which is consistent with the mainstream society's perception and judgment of gender. Men are judged by their actions and perceived as bad, easily-disgusted, bad-tempered and rational roles while women are judged by their appearances and perceived as perfect, either happy or sad, and emotional roles.

International students’ learning experiences and learning outcomes in intercultural contexts are important topics in higher education internationalization. This study focused on South-Asian students studying at Chinese universities. To assess the participants’ academic engagement during their study at Chinese universities, the Individual South-Asian Student Engagement Questionnaire was developed. Through the use of exploratory factor analysis and correlation analysis on a sample of 193 South-Asian students in China, the research confirmed the reliability and validity of the instrument. Four dimensions, i.e. learning motivation, learning behaviors, learning strategies and learning outcomes, as well as the interactions between the four dimensions, were suggested to understand the features of South-Asian students’ learning engagement during their studies in Chinese higher education institutions. 国际学生在跨文化情境下的学习体验与收获是高等教育国际化研究领域的重要议题。本研究选取具有区域性、国别化特征的南亚国家来华留学生为研究对象，通过实施来华留学生个体学习性投入调查收集数据，采用统计学分析检验该测量工具的信效度，同时呈现南亚留学生在学习动机、学习行为、学习策略和学业成就四个维度的关键性表征及其互动关系。

No abstract

No abstract