Examining argumentative coherence in essays by undergraduate students of English as a foreign language in Mainland China and their English speaking peers in the United States

I conducted this study to provide insights toward deepening understanding of association between culture and writing by building, assessing, and refining a conceptual model of second language writing. To do this, I examined culture and coherence as well as the relationship between them through a mixed methods research design. Coherence has been an important and complex concept in ESL/EFL writing. I intended to study the concept of coherence in the research context of contrastive rhetoric, comparing the coherence quality in argumentative essays written by undergraduates in Mainland China and their U.S. peers. In order to analyze the complex concept of coherence, I synthesized five linguistic theories of coherence: Halliday and Hasan's cohesion theory, Carroll's theory of coherence, Enkvist's theory of coherence, Topical Structure Analysis, and Toulmin's Model. Based upon the synthesis, 16 variables were generated. Across these 16 variables, Hotelling t-test statistical analysis was conducted to predict differences in argumentative coherence between essays written by two groups of participants. In order to complement the statistical analysis, I conducted 30 interviews of the writers in the studies. Participants' responses were analyzed with open and axial coding. By analyzing the empirical data, I refined the conceptual model by adding more categories and establishing associations among them. The study found that U.S. students made use of more pronominal reference. Chinese students adopted more lexical devices of reiteration and extended paralleling progression. The interview data implied that the difference may be associated with the difference in linguistic features and rhetorical conventions in Chinese and English. As far as Toulmin's Model is concerned, Chinese students scored higher on data than their U.S. peers. According to the interview data, this may be due to the fact that Toulmin's Model, modified as three elements of arguments, have been widely and long taught in Chinese writing instruction while U.S. interview participants said that they were not taught to write essays according to Toulmin's Model. Implications were generated from the process of textual data analysis and the formulation of structural model defining coherence. These implications were aimed at informing writing instruction, assessment, peer-review, and self-revision.

The effects of Chinese painting appreciation education on the artistic achievement of junior high school students in Taiwan

For the Chinese, fine art is one of the most important items in human life. The goals of fine arts education enhance the student so that s/he can make reasonable judgments about work, gain knowledge of color and understand the process of designing environmental layouts. Related technique and creativity training are offered students in accordance with individual differences and social expectations.^ Traditionally, Taiwan's junior high school fine art program teaches mainly painting technique. The Ministry of Education in Taiwan determines the curriculum of junior high school fine art education. The purpose of this study was to determine the effects of teaching Chinese painting appreciation on the artistic achievements of junior high school students in Taiwan. The subjects were seventh grade students who had never learned Chinese painting before. Two classes were randomly chosen from each target school and were designated as the experimental or control group. Instruction in all groups was delivered by the researcher himself. At the end of the study, data about subjects' related knowledge, creative technique, and feeling toward Chinese painting were systematically collected and analyzed.^ The result of the study was that students in the experimental group were more motivated to learn Chinese painting than were the students in the control group. Students in the experimental group made better progress in the development of creative skill, had better critical ability, and demonstrated better performance in Chinese painting form, set up, stroke and color of related knowledge than did students in the control group. It was therefore concluded that Chinese painting appreciation education can promote better artistic achievement and that this approach should be used in other areas of art education. ^

Dietary adequacy in community-dwelling older Chinese adults living in South Florida

A challenge facing nutrition care providers and the Chinese community is how to improve and maintain dietary adequacy (DA) and quality of life (QoL) in older Chinese Americans. Little is known about the factors contributing to DA and the relationships between DA and QoL among community-dwelling older Chinese adults in South Florida. A DA model and a QoL model were hypothesized. ^ Structured interviews with 100 Chinese Floridians, ages ≥60, provided data to test the hypothesized models, using structured equation modeling. Participants (mean age ± SD = 70.9 + 6.8 years) included 59% females, 98% foreign-born, 23% non-English speakers, and 68% residents of Florida for 20 years or more. The findings supported the study hypotheses: an excellent goodness-of-fit of the DA model (χ2/DF (7) = .286; CFI = 1.000; TLI = 1.704; NFI = .934; RMSEA < .001, 90% CI < .0001 to < .001; SRMR = .033; AIC = 30.000; and BIC = 66.472) and an excellent goodness-of-fit of the QoL model (χ2/DF (6) = .811; CFI = 1.000; TLI = 1.013; NFI = .979; RMSEA < .001, 90% CI < .001 to .116; SRMR = .0429; AIC = 34.869; and BIC = 73.946). ^ The DA model consisted of a structure of four indicators (i.e. Body Mass Index, food practices, diet satisfaction, and appetite) and one intervening variable (i.e. combining nutrient adequacy with nutritional risk). BMI was the strongest, most reliable indicator of DA with the highest predictability coefficient (.63) and the ability to differentiate between participants with different DA levels. The QoL model consisted of a two-dimensional construct with one indicator (i.e. physical function) and one intervening variable (i.e. combining loneliness with social resources, depression, social function, and mental health). Physical function had the strongest predictability coefficient (.89), while other indicators contributed to QoL indirectly. When integrating the DA model to the QoL model, DA appears to influence QoL via indirect pathways. ^ It is necessary to include a precise measure of BMI as the basis for assessing DA in this population. Important goals of dietary interventions should be improving physical function and alleviating social and emotional isolation. ^

Mining the online social network data: Influence, summarization, and organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.

Mining the Online Social Network Data: Influence, Summarization, and Organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.