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Digital Natives Others First Year Students

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Title: Digital Natives Others First Year Students


1
Digital Natives Others First Year Students
EDUCAUSE 2007
  • Dr Gregor Kennedy
  • Biomedical Multimedia Unit
  • with colleagues Dr Kerri-Lee Krause, Dr Terry
    Judd, Ms Anna Churchward Dr Kathleen Gray

2
Marc Prensky (2001)
  • They digital natives have spent their entire
    lives surrounded by and using computers,
    videogames, digital music players, video cams,
    cell phones and all the other toys and tools of
    the digital age
  • It is now clear that as a result of this
    ubiquitous environment and the sheer volume of
    their interaction with it, todays students think
    and process information fundamentally differently
    from their predecessors.
  • It is very likely that our students brains have
    physically changed - and are different from ours
    - as a result of how they grew up.

3
Digital Natives
  • Digital Natives Net Generation Y
    Generation Millennials
  • Born roughly between 1980 and 1994
  • Characterised by their familiarity with and
    reliance on information and communication
    technologies (ICTs).
  • prefer multi-tasking and quick, non-linear access
    to information
  • are adept at processing information rapidly
  • have a low tolerance for lectures
  • prefer active rather than passive learning
  • rely heavily on communications technologies to
    access information and to carry out social and
    professional interactions.

(Prensky 2001a, 2001b Oblinger, 2003 Gros,
2003 Frand, 2000)
4
The Problem Natives vs. Immigrants
  • Digital Immigrant University staff are
    ill-equipped to educate Digital Natives, whose
    sophisticated use of emerging technologies is
    incompatible with current teaching practice.
  • Prensky (2001) suggests that this disparity is
    the the biggest single problem facing education
    today (p. 2).
  • Commentators say educators need to adjust their
    pedagogical models to suit the preferences of
    this new generation of students.

5
The Problem with the Problem
  • Assumptions underlying Prenskys view on students
    in Higher Education
  • All incoming University students are Digital
    Natives.
  • These Digital Natives are an homogenous group.
  • These Digital Natives are more adept with
    technology than their teachers.
  • Everyday skills with technology will easily
    translate into beneficial technology-based
    learning.

This project sought to address the first two of
these assumptions
6
What is the evidence?
  • While there are plenty of case studies, and some
    evidence, of the successful application of
    technology in Higher Education, there is little
    empirical research on the Digital Natives per se.
  • Kvavik (2005) and Kvavik Caruso (2005)
  • ICT permeates all aspects of students lives.
  • Students are comfortable with core technologies
    less comfortable with specialised technologies.
  • High levels of use and skill did not necessarily
    translate into preferences for increased use of
    technology in the classroom.
  • Students prefer technology to a moderate degree
    and as a supplement in courses.

7
Aim - Digital Natives Study
  • Empirically document first-year University of
    Melbourne students experiences with an array of
    technologies and technology-based tools.
  • Focus on
  • - Entrenched technologies (e.g. computers,
    email).
  • - Emerging technology-based tools (e.g. IM,
    social networking, SMS, blogs, wikis, file
    sharing, RSS, podcasting).

It is worth noting that the study does not
investigate the more cognitive characteristics of
the Digital Natives (cognitive structure or
function i.e. neuroplasticity).
8
Method
  • 1,973 first year students surveyed.
  • Orientation week and first week of Semester 1,
    2006.
  • Good representation across faculties.
  • 62.4 females 37.5 males.
  • 23.4 International 75.2 Local students.

9
Method
Questionnaire
  • Demographics (11 items)
  • Access to hardware and the Internet (16 items)
  • Use of tech-tools
  • Computer (10 items)
  • Web (22 items)
  • Mobile (7 items)
  • Skills with tech-tools (39 items)
  • Preferences for tech-tools in University
    studies (34 items)

Students were asked to report on their previous
year
10
Results - Access
11
Results - Access
Core Technologies or becoming so
  • Mobile phone (96)
  • Desktop computer (90)
  • Digital camera (76)
  • Broadband Internet (73)
  • MP3 player (69)
  • Laptop computer (63)

of students with Unrestricted access
12
Results - Use
Core Tech-Activities or becoming so
  • Sending or receiving email (94)
  • Mobile phone voice calls (92)
  • Mobile phone text messaging (93)
  • Creating documents (88)
  • Playing digital music files (84)
  • Web-searching for general information (83)
  • Communicating via instant messaging (80)
  • Web-searching for study (76)

of students completing activities daily or
weekly
13
Results - Use
Emerging Tech-Activities
  • Mobiles to take digital photos or movies (57)
  • Mobiles to send digital photos or movies (33)
  • Web-based file sharing - music (38)
  • - photos (31)
  • Blogs - reading (38)
  • - commenting (27)
  • - maintaining (21)
  • Social networking (24)
  • VOIP telephony (19)
  • Web-conferencing (19)

14
Factor Analyses
15
Factor Analyses
16
Factor Analyses
17

Results - Use
Used 9 factors in a MANOVA by Gender (male,
female) by Residency (international,
local) by Faculty
  • Gender
  • Females gt Males for
  • - Web Publishing
  • - Advanced Mobile
  • Males gt Females for
  • - Web Services
  • - Games

18

Results - Use
Used 9 factors in a MANOVA by Gender (male,
female) by Residency (international,
local) by Faculty
  • Residency
  • International gt Local for
  • - Web Publishing
  • - Advanced Mobile
  • - MP3, Pics IM
  • - Advanced Web
  • - Games
  • - Standard Mobile
  • Local gt International for
  • - Web Services

19
Results - Use
Used 9 factors in a MANOVA by Gender (male,
female) by Residency (international,
local) by Faculty
20
Results - Preferences
To assist with my University studies I want
to be able to use
21
Results - Preferences
Most want to use
  • Computer for digital document creation and
    multimedia presentations, learning portal, web
    searches and Uni services, instant messaging and
    SMS.

Some want to use but some dont
  • Creating web pages / web sites, using PDAs,
    social networking software, web conferencing, RSS
    feeds and blogs

22
Implications Learning and Teaching Strategy
  • While there are clearly many tech-savvy first
    year students
  • - there is substantial diversity among this
    cohort
  • - particularly when one moves beyond core
    technologies.
  • Any technology-based learning and teaching
    strategies need to consider student equity
    (access and skill levels).
  • There are essential technologies expected by
    students.
  • While the use of some technologies is widely
    endorsed by students other technologies clearly
    dont enjoy this endorsement.

23
Implications for Prensky
  • The assumptions underpinning Prenskys rhetoric
    about a new generation of Digital Native students
    dont quite hold.
  • The sheer volume of their interaction with
    their technologically ubiquitous environment
  • They have spent their entire lives using
    videogames, digital music players, video cams,
    cell phones and all the other toys and tools of
    the digital age.
  • Its true for some, Its not true for others

24
Implications for Prensky
  • Rather than scrambling to react to the so-called
    Digital Natives and changing our curricula in
    response to what we think they might be like (or
    like)
  • we need to think carefully about how we can use
    particular core and emerging technologies to
    support learning in higher education, given the
    known diversity of experiences, attitudes and
    expectations of all students.

25
Pushing Boundaries Beyond Convenience
  • The ECAR Framework Students ICT expectations
    and preferences

Quadrant 1 Convenience 50
Quadrant 2 Connection 20
Quadrant 3 Control 14
Quadrant 4 Learning 13
(adapted from Kvavik Caruso, 2005, p.11)
26
Acknowledgements
  • The Project Team Kerri-Lee Krause, Terry Judd,
    Anna Churchward, Kathleen Gray.
  • The Project Sponsor Associate Professor Sue
    Elliott, Pro Vice-Chancellor (Teaching, Learning
    and Equity).
  • Students and staff who assisted with data
    collection.
  • Billy Lee for this presentation.
  • Barney Dalgarno and Sue Bennett.

27
Questions
www.bmu.unimelb.edu.au/research/netgen/index.html
www.bmu.unimelb.edu.au/research/munatives/index.h
tml
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