23,920 research outputs found

    Laboratories of Reform: Virtual High Schools and Innovation in Public Education

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    Virtual schools are growing rapidly, serving over 700,000 students in the 2005-06 school year. But these schools are proving to be more than just another delivery system for students; they are bringing about reforms that have long eluded traditional public schools

    The state-of-the-art in personalized recommender systems for social networking

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    With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match usersā€™ personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social networking environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0

    Digital Food Marketing to Children and Adolescents: Problematic Practices and Policy Interventions

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    Examines trends in digital marketing to youth that uses "immersive" techniques, social media, behavioral profiling, location targeting and mobile marketing, and neuroscience methods. Recommends principles for regulating inappropriate advertising to youth

    The Metabolism and Growth of Web Forums

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    We view web forums as virtual living organisms feeding on user's attention and investigate how these organisms grow at the expense of collective attention. We find that the "body mass" (PVPV) and "energy consumption" (UVUV) of the studied forums exhibits the allometric growth property, i.e., PVtāˆ¼UVtĪøPV_t \sim UV_t ^ \theta. This implies that within a forum, the network transporting attention flow between threads has a structure invariant of time, despite of the continuously changing of the nodes (threads) and edges (clickstreams). The observed time-invariant topology allows us to explain the dynamics of networks by the behavior of threads. In particular, we describe the clickstream dissipation on threads using the function Diāˆ¼TiĪ³D_i \sim T_i ^ \gamma, in which TiT_i is the clickstreams to node ii and DiD_i is the clickstream dissipated from ii. It turns out that Ī³\gamma, an indicator for dissipation efficiency, is negatively correlated with Īø\theta and 1/Ī³1/\gamma sets the lower boundary for Īø\theta. Our findings have practical consequences. For example, Īø\theta can be used as a measure of the "stickiness" of forums, because it quantifies the stable ability of forums to convert UVUV into PVPV, i.e., to remain users "lock-in" the forum. Meanwhile, the correlation between Ī³\gamma and Īø\theta provides a convenient method to evaluate the `stickiness" of forums. Finally, we discuss an optimized "body mass" of forums at around 10510^5 that minimizes Ī³\gamma and maximizes Īø\theta.Comment: 6 figure

    Personalized video summarization by highest quality frames

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    In this work, a user-centered approach has been the basis for generation of the personalized video summaries. Primarily, the video experts score and annotate the video frames during the enrichment phase. Afterwards, the frames scores for different video segments will be updated based on the captured end-users (different with video experts) priorities towards existing video scenes. Eventually, based on the pre-defined skimming time, the highest scored video frames will be extracted to be included into the personalized video summaries. In order to evaluate the effectiveness of our proposed model, we have compared the video summaries generated by our system against the results from 4 other summarization tools using different modalities

    Transforming a competency model to assessment items

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    The problem of comparing and matching different learnersā€™ knowledge arises when assessment systems use a one-dimensional numerical value to represent ā€œknowledge levelā€. Such assessment systems may measure inconsistently because they estimate this level differently and inadequately. The multi-dimensional competency model called COMpetence-Based learner knowledge for personalized Assessment (COMBA) is being developed to represent a learnerā€™s knowledge in a multi-dimensional vector space. The heart of this model is to treat knowledge, not as possession, but as a contextualized space of capability either actual or potential. The paper discusses the automatic generation of an assessment from the COMBA competency model as a ā€œguideon- theā€“sideā€
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