7 research outputs found

    Mobile technologies in schools: The student voice

    Get PDF
    Intermediate and high school students spend a large amount of time using mobile devices (Lauricella, Cingel, Blackwell, Wartella, & Conway, 2014), and such devices are increasingly being integrated into our school system. We conducted a series of student-led focus groups, with this early adolescent cohort, in order to better understand their experiences of the recent technological shift. Four main ideas emerged from a thematic analysis of three focus group discussions: restrictions, student-led technology use, bypassing the restrictions, and connectivity as a need. Direct quotes from students and our analysis of these themes suggest that young people should be included, to a much greater extent, in discussions about the evolution of teaching practices in today’s digital age. Clear benefits and risks linked to greater use of mobile technologies were evident in our discussions, the implications of which are discussed along with limitations of the current study and proposed future research

    The Prevalence and Targets of Cyberbullying Behaviours: An Observational Approach

    Get PDF
    The online environment has few boundaries and is evolving quickly, which may enable a greater prevalence of negative behaviour, like cyberbullying. Most cyberbullying researchers have used self-report methodologies, focussed on young people, and have had limited ability to explore contextual factors such as whether messages were retaliatory. Using stratified sampling, we selected a total of 40 YouTube® clips showing singing or dancing performances by young girls and boys. We conducted an exploratory content analysis using the first 20 comments for each of these clips (n = 800), coding eight quantitative factors and identifying themes for each comment. The key measure was the degree of positivity of each comment towards the performer in the clip, and if applicable, the degree of positivity towards the other commenters. Negative comments were directed at performers in 20% of the observed cases, whereas 74% of the comments directed at other commenters were negative, suggesting that commenters are most at risk of receiving negative comments online. Male performers received more negative comments than female. About a third of commenters appeared to criticise users for posting negative comments towards others, which is of continued interest because bystander intervention may mitigate some of the harmful effects of cyberbullying

    Mobile technologies in schools: The student voice

    No full text
    Intermediate and high school students spend a large amount of time using mobile devices (Lauricella, Cingel, Blackwell, Wartella, & Conway, 2014), and such devices are increasingly being integrated into our school system. We conducted a series of student-led focus groups, with this early adolescent cohort, in order to better understand their experiences of the recent technological shift. Four main ideas emerged from a thematic analysis of three focus group discussions: restrictions, student-led technology use, bypassing the restrictions, and connectivity as a need. Direct quotes from students and our analysis of these themes suggest that young people should be included, to a much greater extent, in discussions about the evolution of teaching practices in today’s digital age. Clear benefits and risks linked to greater use of mobile technologies were evident in our discussions, the implications of which are discussed along with limitations of the current study and proposed future research.

    Detection of HIV-1 transmission clusters from dried blood spots within a universal test-and-treat trial in East Africa

    Get PDF
    The Sustainable East Africa Research in Community Health (SEARCH) trial was a universal test-and-treat (UTT) trial in rural Uganda and Kenya, aiming to lower regional HIV-1 incidence. Here, we quantify breakthrough HIV-1 transmissions occurring during the trial from population-based, dried blood spot samples. Between 2013 and 2017, we obtained 549 gag and 488 pol HIV-1 consensus sequences from 745 participants: 469 participants infected prior to trial commencement and 276 SEARCH-incident infections. Putative transmission clusters, with a 1.5% pairwise genetic distance threshold, were inferred from maximum likelihood phylogenies; clusters arising after the start of SEARCH were identified with Bayesian time-calibrated phylogenies. Our phylodynamic approach identified nine clusters arising after the SEARCH start date: eight pairs and one triplet, representing mostly opposite-gender linked (6/9), within-community transmissions (7/9). Two clusters contained individuals with non-nucleoside reverse transcriptase inhibitor (NNRTI) resistance, both linked to intervention communities. The identification of SEARCH-incident, within-community transmissions reveals the role of unsuppressed individuals in sustaining the epidemic in both arms of a UTT trial setting. The presence of transmitted NNRTI resistance, implying treatment failure to the efavirenz-based antiretroviral therapy (ART) used during SEARCH, highlights the need to improve delivery and adherence to up-to-date ART recommendations, to halt HIV-1 transmission

    ACKNOWLEDGMENTS AND REFERENCES

    No full text
    corecore