24 research outputs found

    Peer e-tutoring: effects on students' participation and interaction style in online courses

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    In this paper, we describe a procedure to promote active participation in online courses by supporting students in performing the role of an e-Tutor during group activities. A case study, conducted to explore the procedural effects both on students’ interactions and on their perceptions about the role, is discussed. Eighteen university students (67% female, mean Age = 23 years) took part in online collaborative learning activities as part of a 15-week blended learning course. Twelve participants took turns in covering the role of e-Tutor. Findings were based on a mixed methods analysis of 7105 contributions posted online by the 18 students. An analysis of e-Tutor self-assessment forms was also considered. Results indicated that utilising peer-based e-Tutors promoted substantial active participation in online discussions. Moreover, students performing the role of e-Tutor adopted a supportive, collaborative and educational style, which was maintained even after their turn as e-Tutor had ended

    Social network engagement and subjective well-being: a life-course perspective

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    Social networking is a digital phenomenon embraced by billions worldwide. Use of online social platforms has the potential to generate a number of benefits including to well-being from enhanced social connectedness and social capital accumulation, but is also associated with several negative behaviours and impacts. Employing a life-course perspective, this paper explores social networking use and its relationship with measures of subjective well-being. Large-scale UK panel data from wave 3 (2011-12) and 6 (2014-15) of Understanding Society reveals that social network users are on average younger, aged under 25, but that rising use is reported across the life-course including into old age. Probit, multinomial logistic, and ANCOVA and change-score estimations reveal that membership, and greater use, of social networks is associated with higher levels of overall life satisfaction. However, heavy use of social networking sites has negative impacts, reflected in reductions in subjective well-being. Socio-economic disadvantage may drive these impacts among young (in education), unemployed and economically inactive heavy SNS users

    Online social network data as sociometric markers

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    Data from online social networks carry enormous potential for psychological research, yet their use and the ethical implications thereof are currently hotly debated. The present work aims to outline in detail the unique information richness of this data type and, in doing so, to support researchers when deciding on ethically appropriate ways of collecting, storing, publishing, and sharing data from online sources. Focusing on the very nature of social networks, their structural characteristics and depth of information, a detailed and accessible account of the challenges associated with data management and data storage is provided. In particular, the general non-anonymity of network data sets is discussed, and an approach is developed to quantify the level of uniqueness that a particular online network bestows upon the individual maintaining it. Using graph enumeration techniques, it can be shown that comparatively sparse information on a network is suitable as a sociometric marker that allows for the identification of an individual from the global population of online users. The impossibility of anonymizing specific types of network data carries implications for ethical guidelines and research practice. At the same time, network uniqueness opens up opportunities for novel research in psychology

    When 'friends' collide: social heterogeneity and user vulnerability on social network sites

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    The present study examines how the use of social network sites (SNS) increases the potential of experiencing psychological, reputational and physical vulnerability online. From our theoretical perspective, concerns over the use of social network sites and online vulnerability stem from the ease with which users can amass large and diverse sets of online social connections and the associated maintenance costs . To date most studies of online vulnerability have relied on self -rep ort measures, rarely combining such information with user’s validated digital characteristics. Here, f or a stratified sample of 177 UK-based Facebook users aged 1 3 to 77, digitally derived network data , coded for content and subjected to structural analysis, were integrated with self -report measures of social network heterogeneity and user vulnerability. Findings indicated a positive association between Facebook network size and online vulnerability mediated by both social diversity and structural features of the network . In particular, network clustering and the number of non- person contacts were predictive of vulnerability. Our findings support the notion that connecting to large networks of online ‘friends’ can lead to increasingly complex online socialising that is no longer controllable at a desirable level
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