1,692 research outputs found

    Developmental Stages of Preschool Educators: A Study of Junior College Students in Taiwan

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    The present study applies early field experience theory and developmental stages theory as the basis of teacher training in a junior college program in Taiwan. Two hundred sixty-six junior college students from two junior colleges were surveyed in order to ascertain what factors had an effect on the concept of teaching concerns. Comparisons were made among the following : with/ without preschool education background in senior high school, grade, school, age, fathers\u27 educational levels, mothers\u27 educational levels, and fathers\u27 yearly income. The results indicate that early field experiences had a direct effect on teaching concerns. The students\u27 year of study (freshmen vs sophomore) in junior college made a difference depending on whether they had been exposed to an early field experience. The groups that had a preschool education background had higher mean developmental-teaching-stage scores, in first (freshmen) study year, but lower mean scores in the second (sophomore) study year. The mean developmental teaching- stage scores for both study years of junior college students with preschool education background were very close to each other. Junior college students without a preschool education background in senior high had a higher mean developmental-teaching-stage score in the second year than in the first year

    Understanding the Gap of Reading Performance between ELL and EOL Children from Low-Income Families in Elementary School Years

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    This study explored reading development in low income children of English Language learners (ELLs) from kindergarten to the fourth grade. Data used in this study came from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (ECLS-K: 2011). A sample size was 3,451 students below the poverty threshold. The independent variables were the indicators of home language and gender. The six dependent variables were students’ reading item response theory (IRT) scale scores in the fall and spring semester of the kindergarten year and all the spring semesters from the first to the fourth grade. Six full 2-way analysis of variance (ANOVA) models were used for the statistical analyses. The results found there is a gender difference in children’s reading performance, with female doing slightly better than male students. The low-income children’s performance in reading IRT scores has shown differences among the three groups. The English Only Learners (EOL) had the highest mean scores throughout the five years. The group of Multilingual Learners (ML) and English Language Learner (ELL) group had mixed results of the second or lowest scores among these three groups. Among the six subgroups the EOL female had the highest mean scores throughout the five years

    A Case Study on Membership Growth of a Teacher Professional Community Using the Diffusion Model

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    This is an exploratory case study to analyze the membership growth of a virtual community named SCTNet by using diffusion model. SCTNet (http://sctnet.edu.tw) is designed to facilitate profession communications among teachers of elementary schools and junior high schools in Taiwan. The diffusion model provides the insight of influential factors for the membership growth on the web site. According to the empirical results, the word-of-mouth has stronger effect than the mass-media advertising. In addition, the diffusion process is slower than those of general innovations or durable goods. The authors propose two possible reasons, one is that teachers belong to different homophilous groups and lack of heterophilous communications, and the other is that the isolation is a general problem surrounding the teachers. Besides, the virtual community is attributed as an interactive media; the more members gather, the more benefits can be generated such as professional advices and emotional supports among members. There should be a so-called “critical mass” in the diffusion curve for such interactive innovation. After the turning point, the membership grows explosively. However, the empirical data of this study does not appear such circumstance. Thus, several aspects that require further researched are suggested in the end of this paper

    Investigating the Knowledge-Sharing Behavior ina Professional Virtual Community

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    This research aims at investigating the knowledge sharing-behaviors in a teachers’ professional virtual community. Logs data in the entire community and in special interest groups (SIGs) were analyzed. Some typical behaviors were identified by the clustering analysis in this study. The largest group of member belongs to inactive users. They rarely log in the system, are passive in uploading or downloading teaching materials, and almost never post or reply messages. Another group is active in receiving knowledge while reluctant to give knowledge or to respond. The third group frequently login the system, is the most active in sharing knowledge, and actively searching knowledge. However, the third group contains only a small number of members. Furthermore, fifty-five members of the knowledge-sharing group were interviewed using focus group technique to find out qualitative information as to why they are willing to share information and what are their concerns in sharing information. The results indicated that knowledge sharing is not a common behavior in professional virtual community, and knowledge-sharing culture is difficult to promote even in non-competitive professional communities. Secondly, knowledge cannot flow easily throughout the community even when certain knowledge flow promoting mechanism is provided. Thirdly, professional autonomy may hinder the frequency of interactions with others in professional virtual community. Fourthly, attitudes regarding information ownership are important factors in knowledge sharing of a professional virtual community. Finally, teaching and IT usage experiences are not major factors affecting knowledge-sharing behavior in pro fessional virtual communities

    PM-Net: A Software Management Represenational Model

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    Exploring Taiwan citizens’ scientific literacy, interest in, and engagement in learning science

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    This study explored Taiwan citizens' scientific literacy, interest in, and engagement in learning science. By using the stratified random sampling strategy, 1,831 citizens in the age group of 18-70 years were selected to respond to a questionnaire survey along with a paper-pencil test. For exploring the relationship between Taiwan citizens' scientific literacy and their interest in science, the participants were divided into four groups on the basis of their scores for scientific literacy and interest in science. According to the essential results, the high scientific literacy and high science interest (HH) group was mainly represented by males, young citizens, and citizens with higher educational degrees. Conversely, the low scientific literacy and low science interest (LL) group was dominated by females, elderly citizens, and citizens with only a secondary school diploma. Among the four groups, citizens in the HH and LH groups exhibited higher frequency of engagement in science activities. Finally, citizens with high science interest tended to be enthusiastic in learning science and technology. This study contributed a novel insight that the interest in learning science plays a critical role in promoting adults' engagement in learning science. Future studies are recommended for focusing on the citizens in the LH group to investigate how high engagement in learning science influences their scientific literacy

    Neutron Reflectometry for Studying Proteins/Peptides in Biomimetic Membranes

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    The development of biomimetic surfaces for protein and peptide adsorptions is continuously expanding. Their biological functions can be influenced by the properties of the underlying artificial environment but the detailed mechanism is still not clear. In the past 30 years, neutron reflectometry has been widely applied to characterise the molecular structure of proteins or multi-protein complexes and their interactions with fluid artificial membrane that mimics the cellular environment. The specific interactions, bindings or structural changes between proteins and membranes play a crucial role in cellular responses and have promising potential in diagnostics and other biosensor applications. This chapter presents the progression of surface design for protein adsorption/interactions on membranes in detail, ranging from a simple phospholipid monolayer setup to more complicated artificial lipid bilayer systems. Furthermore, a new development of designed surfaces for studying the integral membrane protein system is also discussed in this chapter. A brief overview of various membrane mimetic surfaces is first outlined, followed by presenting specific examples of protein-membrane interactions studied by neutron reflectometry. The author demonstrates how to use neutron reflectometry as an advanced technique to provide step-by-step structural details for biomolecular applications in a well-controlled manner

    Uncertain Associations of Major Bleeding and Concurrent Use of Antiplatelet Agents and Chinese Medications: A Nested Case-Crossover Study

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    Despite the evidence that some commonly used Chinese medications (CMs) have antiplatelet/anticoagulant effects, many patients still used antiplatelets combined with CMs. We conducted a nested case-crossover study to examine the associations between the concomitant use of antiplatelets and CMs and major bleeding using population-based health database in Taiwan. Among the cohort of 79,463 outpatients prescribed antiplatelets (e.g., aspirin and clopidogrel) continuously, 1,209 patients hospitalized with new occurring bleeding in 2012 and 2013 were included. Those recruited patients served as their own controls to compare different times of exposure to prespecified CMs (e.g., Asian ginseng and dong quai) and antiplatelet agents. The periods of case, control 1, and control 2 were defined as 1–4 weeks, 6–9 weeks, and 13–16 weeks before hospitalization, respectively. Conditional logistic regression analyses found that concurrent use of antiplatelet drugs with any of the prespecified CMs in the case period might not significantly increase the risks of bleeding over that in the control periods (OR = 1.00, 95% CI 0.51 to 1.95 and OR = 1.13, 95% CI 0.65 to 1.97). The study showed no strong relationships between hospitalization for major bleeding events and concurrent use of antiplatelet drugs with the prespecified CMs
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