Rethinking Social Bookmarking for Elementary Educators : A Proposal for the Study of a Collaborative Image-based Bookmarking Tool

For many students summer technology programs are more than a way to ‘get out of the house for the day’. It is the chance to learn new skills, explore unusual subjects and have fun. The choice of summer program by a middle school student can provide an initial spark of interest in future school work or careers. In this paper, a summer program for middle school girls designed with potential future careers is discussed. With computer technology and technology careers as the central theme of the week, the girls visited campus computer labs, listened to invited speakers and created an original computer project. This paper discusses the program design and projects created by the girls during the weeklong summer camp. Topic-Enhanced Multidimensional Cross-Domain Political Spectrum Analysis Leilei Zhu, Prasenjit Mitra College of Information Sciences and Technology Pennsylvania State University University Park, Pennsylvania 16802 USA lleizhu@psu.edu, pmitra@ist.psu.edu ABSTRACT Political Spectrum refers to a multidimensional opinion space where each geometric axis models one political dimension. Analyzing this space differs from traditional polarity sentiment analysis in that the latter usually focuses on just one opinion dimension e.g. positive-negative dimension or liberalconservative dimension thus restricting the ability of explaining the more complex reality; opinion distribution actually is composed of multiple dimensions as shown in this paper. In this paper, we start our study from the congressional political domain. We first show the importance of multidimensional opinion representation in the congressional context combining domain knowledge and results from three different dimensionality analysis methods. Then we discuss the differences of feature selection between political spectrum analysis and normal opinion mining tasks, and propose a novel topicbased semantic regression model for analyzing the multidimensional political opinion space of the United States Senate. We also explore the civil political domain by studying a tagged blog space with the learned regression model from the congressional domain.Political Spectrum refers to a multidimensional opinion space where each geometric axis models one political dimension. Analyzing this space differs from traditional polarity sentiment analysis in that the latter usually focuses on just one opinion dimension e.g. positive-negative dimension or liberalconservative dimension thus restricting the ability of explaining the more complex reality; opinion distribution actually is composed of multiple dimensions as shown in this paper. In this paper, we start our study from the congressional political domain. We first show the importance of multidimensional opinion representation in the congressional context combining domain knowledge and results from three different dimensionality analysis methods. Then we discuss the differences of feature selection between political spectrum analysis and normal opinion mining tasks, and propose a novel topicbased semantic regression model for analyzing the multidimensional political opinion space of the United States Senate. We also explore the civil political domain by studying a tagged blog space with the learned regression model from the congressional domain. Rethinking Social Bookmarking for Elementary Educators: A Proposal for the Study of a Collaborative Image-based Bookmarking Tool Michael Montalto-Rook, Jarrin Sperry Pennsylvania State University University Park, Pennsylvania 16802 USA mrook@psu.edu ABSTRACT Social bookmarking has been a hot Web 2.0 topic ever since the creation of Delicious, a bookmarking tool that enables a user to tag, save, manage, and share text-based representations of web pages through an online community. However, at the elementary education level, where text is second to images and students are more interested in visual representations of data, bookmarking tools should allow teachers to save a set of images that link to Internet resources. An image-based bookmarking tool could provide educators with the means to have all of their class resources in one location and during lessons, through the use of images in the bookmarking tool, immediately grab the attention of their students. What would an image-based bookmarking tool look like? What are the goals and motivators behind the design of such a system? This presentation provides a proposal for the study of a collaborative image-based bookmarking tool. A collaborative image-based bookmarking tool would enable multiple educators to work together to create, save, and share an image-based list of resources. This list could then be accessed in any classroom and provide a direct link to many different Internet resources. The presentation will not only provide an example of such a system, but also outline the design process and provide implications and questions for further research.Social bookmarking has been a hot Web 2.0 topic ever since the creation of Delicious, a bookmarking tool that enables a user to tag, save, manage, and share text-based representations of web pages through an online community. However, at the elementary education level, where text is second to images and students are more interested in visual representations of data, bookmarking tools should allow teachers to save a set of images that link to Internet resources. An image-based bookmarking tool could provide educators with the means to have all of their class resources in one location and during lessons, through the use of images in the bookmarking tool, immediately grab the attention of their students. What would an image-based bookmarking tool look like? What are the goals and motivators behind the design of such a system? This presentation provides a proposal for the study of a collaborative image-based bookmarking tool. A collaborative image-based bookmarking tool would enable multiple educators to work together to create, save, and share an image-based list of resources. This list could then be accessed in any classroom and provide a direct link to many different Internet resources. The presentation will not only provide an example of such a system, but also outline the design process and provide implications and questions for further research. An Exploratory Study of RFID Adoption in Retail Sector Mithu Bhattacharya1, Chao-Hsien Chu1, Tracy Mullen1, Jack Hayya2 College of Information Sciences and Technology, Smeal College of Business Pennsylvania State University University Park, Pennsylvania 16802 USA mub166@psu.edu, chu@ist.psu.edu, tmullen@ist.psu.edu, jch@psu.edu ABSTRACT While several large retailers have mandated RFID deployment across their value chain, the case for RFID adoption among several other retailers still remains more uncertain. In this paper, we use an exploratory methodology, content analysis, to quantitatively analyze benefits, RFID applicable value chain activities, and business processes. We found that the most significant retailer benefits are better management of inventory, improved security, and increased operational efficiency. However, to realize these benefits retailers must situate their RFID implementation choices within a business context. To assist in this endeavor, we identify RFID-applicable business processes and value chain activities currently perceived as highly influencing retailer benefits. We find that while retailer benefits are strongly linked to RFID-applicable business processes, they are not strongly correlated across value chain activities. In addition, retailer benefits for RFID-applicable business processes and value chain activities do not show a strong association. We reflect on possible reasons for these results.While several large retailers have mandated RFID deployment across their value chain, the case for RFID adoption among several other retailers still remains more uncertain. In this paper, we use an exploratory methodology, content analysis, to quantitatively analyze benefits, RFID applicable value chain activities, and business processes. We found that the most significant retailer benefits are better management of inventory, improved security, and increased operational efficiency. However, to realize these benefits retailers must situate their RFID implementation choices within a business context. To assist in this endeavor, we identify RFID-applicable business processes and value chain activities currently perceived as highly influencing retailer benefits. We find that while retailer benefits are strongly linked to RFID-applicable business processes, they are not strongly correlated across value chain activities. In addition, retailer benefits for RFID-applicable business processes and value chain activities do not show a strong association. We reflect on possible reasons for these results. A Panel on DARPA Network Challenge Nicklaus A. Giacobe, Anythony Kim, Madian Khabsa, Chris Robuck, Greg Traylor, Anthony Maslowski, Gregory OʼNeill, Avner Faraz Ahmad, Matt Maisel, Earl Yun, Wade Shumaker, John Yen College of Information Sciences and Technology, Computer Science and Engineering Pennsylvania State University University Park, Pennsylvania 16802 USA ABSTRACT In celebration of the 40 anniversary of the internet, DARPA launched the Network Challenge to explore issues related to social networking, collaboration, and trust. The iSchools viewed this as an excellent opportunity to achieve multiple goals: (1) to participate the challenge to win, (2) to conduct a collaborative research project of interests across multiple iSchools, (3) to enhance the visibility of the iSchools, and (4) to collect data for future research regarding social networking, extreme events, whether they occur in the physical space or in the cyber space. The iSchools DARPA Challenge Team was thus formed. This panel will discuss the background of the iSchools project and the strategy to spread information through the networks of iSchools. The oper