Browsing by Subject "social networking"
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Item If you think socialisation in mLearning is difficult, try personalisation(InderScience Publishers, 2011-02) Berge, Zane L.Recently a lot has been written about Web 2.0, its focus on social networking, and its potential for eLearning. This carries forward to mLearning, a particular type of eLearning. Personalised learning has also been in the literature for decades. Much of this has involved a plea to individualise learning based on learning styles theories. This paper reviews the case for personalised learning, but instead of building on learning styles, the case presented here has more to do with mLearning as a way for learners having choice in what, how, and where they learn, both in school and out of school.Item The Importance of Social Position in E-Learning(2014 SouthEast Regional Conference, 2014-03) Ketel, Mohammed; Fishpaw, ChristopherThe growth and popularity of online social networks has created new ways of collaboration and communication. College/university students worldwide are particularly enthusiastic users— the vast majority are engaging on a daily basis with online social networks via a computer or mobile device. Likewise, eLearning has been utilized by academic communities to transcend learning across space and time to offer students an alternative to physical classrooms. Today, there is interest from educational institutions and organizations in the potential of social networks and social media to complement or leverage formal educational activities and enhance learning outcomes. Although many studies boast about the benefits of eLearning, users have traditionally complained about usability. This study aims to analyze the frequency of online social networking practices across a broad spectrum of diverse users based on survey responses. The goal of this research is to investigate the frequency of usage of social networking features for consideration in the design of new eLearning solutions.Item Privacy Preservation in Context Aware Geosocial Networking Applications(University of Maryland, Baltimore County, 2011-05-01) Jagtap, Pramod; Joshi, Anupam; Finin, Tim; Zavala, LauraRecent years have seen a confluence of two major trends - the increase of mobile devices such as smart phones as the primary access point to networked information and the rise of social media platforms that connect people. Their convergence supports the emergence of a new class of context-aware geo-social networking applications. While existing systems focus mostly on location, our work centers on models for representing and reasoning about a more inclusive and higher-level notion of context, including the user's location and surroundings, the presence of other people and devices, feeds from social networking systems they use, and the inferred activities in which they are engaged. A key element of our work is the use of collaborative information sharing where devices share and integrate knowledge about their context. This introduces the need for privacy and security mechanisms. We present a framework to provide users with appropriate levels of privacy to protect the personal information their mobile devices are collecting including the inferences that can be drawn from the information. We use Semantic Web technologies to specify high-level, declarative policies that describe user's information sharing preferences. We have built a prototype system that aggregates information from a variety of sensors on the phone, online sources, and sources internal to the campus intranet, and infers the dynamic user context. We show how our policy framework can be e ffectively used to devise better privacy control mechanisms to control information ow between users in such dynamic mobile systems.