Teacher talk: A community of colleagues that values practical teacher knowledge through sharing experiences

The purpose of this study was to describe the experiences of five educators participating in a teacher-initiated learning community that valued practical teacher knowledge. Connelly and Clandinin (2000) argued that practical teacher knowledge grew out of experience through interaction in the professional knowledge landscape. Collaboration that promoted teacher learning was the foundation to effective school change (Wood, 1997). This teacher-initiated learning community consisted of members who had equal status and collaborated by participating in discourse on curriculum and instruction. The collegiality of the community fostered teacher professionalism that improved practice and benefited the school. This study focused on the following research questions: (1) What was the experience of these five educators in this learning community? (2) What did these five individuals understand about the nature of practical teacher knowledge? (3) According to the participants, what was the relationship between teacher empowerment and effective school change? ^ The participants were chosen because each voluntarily attended this teacher-initiated learning community. Each participant answered questions regarding the experience during three semi-structured tape-recorded interviews. The interviews were transcribed, and significant statements of meaning were extracted. Using a triangulation of ideas that were common to at least three of the participants ensured the trustworthiness of the analysis. These statements were combined to describe what was experienced and how the participants described their experience. The emerging themes were the characteristics of and the relationships, methods, conditions, and environment for the teachers. The teachers described how a knowledge base of practical teacher knowledge was gained as a spirit of camaraderie developed. The freedom that the teachers experienced to collaborate and learn fostered new classroom practice that affected school change as student interaction and productivity increased. ^ The qualitative analysis of this study provided a description of a learning community that valued practical teacher knowledge and fostered professional development. This description was important to educational stakeholders because it demonstrated how practical teacher knowledge was gained during the teachers' daily work. By sharing every day experiences, the teacher talk generated collaboration and accountability that the participants felt improved practice and fostered a safe, productive learning environment for students. ^

Smallpox vaccination, the establishment of vaccination boards, and state formation in Venezuela and Cuba in the nineteenth century

The Balmis expedition, sent to America by the Spanish monarch Charles IV in 1803, was a watershed in the history of Medicine as it made smallpox vaccination available for the first time, effectively prevented the disease from spreading, and saved thousands of lives. Immunization required complex administrative measures and political decisions including the creation of Vaccination Boards, all of which involved different sectors of Spanish American society. This dissertation argues that at the beginning of the nineteenth century the Spanish American colonial state had reached some level of maturity and cohesion that made it capable of executing this complex project in public health. The significance of this mobilization and the every-day experience in implementing this new public health measure is the center of this work. It is situated geographically in Venezuela and Cuba, entities which took different evolutionary paths in the nineteenth century. The organization and functioning of Vaccination Boards in these two areas are used to illustrate the state formation process, and sharp political differences in this critical period.

How people resolve dilemmas: An elicitation method for subjective decision factors

In human society, people encounter various deontic conflicts every day. Deontic decisions are those that include moral, ethical, and normative aspects. Here, the concern is with deontic conflicts: decisions where all the alternatives lead to the violation of some norms. People think critically about these kinds of decisions. But, just ‘what’ they think about is not always clear. ^ People use certain estimating factors/criteria to balance the tradeoffs when they encounter deontic conflicts. It is unclear what subjective factors people use to make a deontic decision. An elicitation approach called the Open Factor Conjoint System is proposed, which applies an online elicitation methodology which is a combination of two well-know research methodologies: repertory grid and conjoint analysis. This new methodology is extended to be a web based application. It seeks to elicit additional relevant (subjective) factors from people, which affect deontic decisions. The relative importance and utility values are used for the development of a decision model to predict people’s decisions. ^ Fundamentally, this methodology was developed and intended to be applicable for a wide range of elicitation applications with minimal experimenter bias. Comparing with the traditional method, this online survey method reduces the limitation of time and space in data collection and this methodology can be applied in many fields. Two possible applications were addressed: robotic vehicles and the choice of medical treatment. In addition, this method can be applied to many research related disciplines in cross-cultural research due to its online ability with global capacity. ^

The Specialist: Coming Soon To Your Local Hotel

In an article entitled - The Specialist: Coming Soon To Your Local Hotel - by Stan Bromley, Regional Vice President and General Manager, Four Seasons Clift Hotel, San Francisco, the author’s introduction states: “An experienced hotelier discusses the importance of the delivery of a high “quality-to-value” ratio consistently to guests, particularly as the hotel market becomes specialized and a distinction is drawn between a “property” and a “hotel.” The author’s primary intention is to make you, the reader, aware of changes in the hospitality/hotel marketplace. From the embryo to the contemporary, the hotel market has consistently evolved; this includes but is not limited to mission statement, marketing, management, facilities, and all the tangibles and intangibles of the total hotel experience. “Although we are knocking ourselves out trying to be everything to everyone, I don't think hotel consumers are as interested in “mixing and matching” as they were in the past,” Bromley says. “Today's hotel guest is looking for “specialized care,” and is increasingly skeptical of our industry-wide hotel ads and promises of greatness.” As an example Bromley makes an analogy using retail outlets such as Macy’s, Saks, and Sears, which cater to their own unique market segment. Hotels now follow the same outline, he allows. “In my view, two key factors will make a hotel a success,” advises Bromley. “First, know your specialty and market to that segment. Second, make sure you consistently offer a high quality-to-value ratio. That means every day.” To emphasize that second point, Bromley offers this bolstering thought, “The second factor that will make or break your business is your ability to deliver a high "quality/value" ratio-and to do so consistently.” The author evidently considers quality-to-value ratio to be an important element. Bromley emphasizes the importance of convention and trade show business to the hotel industry. That business element cannot be over-estimated in his opinion. This doesn’t mean an operator who can accommodate that type of business should exclude other client opportunities outside the target market. It does mean, however, these secondary opportunities should only be addressed after pursuing the primary target strategy. After all, the largest profit margin lies in the center of the target. To amplify the above statement, and in reference to his own experience, Bromley says, “Being in the luxury end of the business I, on the other hand, need to uncover and book individuals and small corporate meetings more than convention or association business.

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.

How People Resolve Dilemmas: An Elicitation Method for Subjective Decision Factors

In human society, people encounter various deontic conflicts every day. Deontic decisions are those that include moral, ethical, and normative aspects. Here, the concern is with deontic conflicts: decisions where all the alternatives lead to the violation of some norms. People think critically about these kinds of decisions. But, just ‘what’ they think about is not always clear. People use certain estimating factors/criteria to balance the tradeoffs when they encounter deontic conflicts. It is unclear what subjective factors people use to make a deontic decision. An elicitation approach called the Open Factor Conjoint System is proposed, which applies an online elicitation methodology which is a combination of two well-know research methodologies: repertory grid and conjoint analysis. This new methodology is extended to be a web based application. It seeks to elicit additional relevant (subjective) factors from people, which affect deontic decisions. The relative importance and utility values are used for the development of a decision model to predict people’s decisions. Fundamentally, this methodology was developed and intended to be applicable for a wide range of elicitation applications with minimal experimenter bias. Comparing with the traditional method, this online survey method reduces the limitation of time and space in data collection and this methodology can be applied in many fields. Two possible applications were addressed: robotic vehicles and the choice of medical treatment. In addition, this method can be applied to many research related disciplines in cross-cultural research due to its online ability with global capacity.

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.