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PhD Student
Information Science
Lara Dodd
Using social media to capture the
information seeking behaviour of
aspiring undergraduates …
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BLAH
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‘… their apparent facility with computers disguises some worrying
problems … young people have a poor understanding of their
information needs and thus find it difficult to develop effective
search strategies’
p.12, Nicolas, Rowlands and Huntington, 2008, p.12
laura.dodd@northumbria.ac.uk
Lara Dodd

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Using social media to capture information seeking behaviour of aspiring undergraduates

Hinweis der Redaktion

  1. - Personal introduction (Lara Dodd – PhD researcher @ Northumbria Uni – background: library manager turned qualitative researcher for education sector.
  2. - Working title of PhD: Using social media to capture the information seeking behavior of aspiring undergraduates. - Conference theme: Using social media for research
  3. - Overview of PhD: Background: Information gap (2012 onwards, national support structures V centre own provision = Connexions, -20% IAG Ofsted, 2014, libraries), widely criticized (e.g. Lord Sainsbury, move away from learner centered support.
  4. - Overview of PhD: Background: Information gap (2012 onwards, national support structures V centre own provision = Connexions, -20% IAG Ofsted, 2014, libraries), widely criticized (e.g. Lord Sainsbury, move away from learner centered support.
  5. Overview of PhD: Why social media?: Prevalence. ONS (2014) only 0.03% of 16-24 year olds hadn’t used the Internet in the last three months = Digital access is commonplace in the lives of today’s learners.
  6. Why SNS?: Made sense biggest, public and private spaces. Twitter (Tumblr) – Trial found relevant information-seeking and sharing activity, UCAS on Twitter. Ethics: public domain, no names, contact Twitter (sell via Gnip)
  7. Before - Before UCAS forms are due in (January)
  8. During - A level results day and the start of clearing
  9. After Freshers week
  10. Data collection: - Qualitative big data: harness thousands of Tweets (before, during and after) - NCapture/NVivo to code and analyse the data. Idea came from – QCDA 2010/2011???
  11. Initial findings: - Use SNS differently (-Tumblr) - Students not tech savvy – (Elliot, 2006 – Impatient, low literacy skills/ McAfee,2013, digital tattoo, 21% posted content that they regretted/ Miller & Bartlett, 2011, not careful or discerning, unable to detect bias, vulnerable
  12. Nicolas, Rowlands and Huntington (2008), which examined the so-called ‘Google Generation’ concluding that increased access to technology/information had not improved information literacy rates of young people:   ‘… their apparent facility with computers disguises some worrying problems … young people have a poor understanding of their information needs and thus find it difficult to develop effective search strategies’ (p.12, Nicolas, Rowlands and Huntington, 2008
  13. BA project findings Trust – Information discernment, self efficacy Tentative conclusions: - Initial recommendations for provision, focus on the system, filling the gap - Existence of information vortex, missing stages in info search process - Information literacy (discernment) skills in students (BA project, Digital Agenda)
  14. Any questions?