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1
The Impact of Computer Use on Reading Achievement of 15-year-olds
Patrick Bussière and
Tomasz GluszynskiChild, Youth and Social Development Studies
Applied Research Branch, HRDCThe 2002 PCERA Symposium
Montréal, April 30 - May 2, 2002
2
To analyse, compare, contrast, and evaluate
To think imaginatively
To apply knowledge in real-life situations
To communicate thoughts and ideas effectively
PISA Reading AchievementAbout the capacity of young adults to use
written information effectively
3
Reading, Mathematics, and Science
32
countries... ...10 provinces
Youth aged 15
Over 250,000 students...
...30,000 students from more than 1,000
schools
17 languages
English and French
2-hour direct skills assessment
20-minute contextual questionnaire to youth
School questionnaire
3-minute IT questionnaire
30-minute YITS
questionnaire to
youth
30-minute
interview
with
parents
Items added to school questionnaire
4
Mathematical literacy
Recognising, formulating and solving mathematical problems in everyday life. Analysing, reasoning and
communicating in mathematical terms
Reading Literacy
Using, interpreting
and reflecting on written
material
Scientific Literacy
Using scientific knowledge, identifying scientific questions, and drawing evidence-based conclusions to understand and make decisions about the natural world
5
Three dimensions of Reading Literacy
Retrieving information
Ability to locate information
in a text
Interpreting information
Ability to construct meaning and drawn inferences from written information
Reflecting and evaluation
Ability to relate text to their other
knowledge,ideas and experiences
6
Below Level 1These students may be able to read, but have not acquired the
skills to use reading for learning
Reading Literacy Level 1Recognise main theme on a familiar topic, make simple
connections
Above 625
408 to
480
335 to
407
Less
than 335
553 to
625
481 to
552
The 5 proficiency levels are separated by 72 points.
Reading Literacy Level 5Evaluating information and
building hypotheses, drawing on specialised
knowledge, accommodating concepts contrary to expectations
16.8/ 10
27.7/ 22
28.0/ 29
17.9/ 22
7.3/ 12
2.4/ 6
7
• Further work is based on the first results of PISA in Canada reported in the pan-Canadian report.
• For the purpose of this study, the data on Information and Communication Technology in PISA is analyzed.
8
Percentage of students reporting having a computer at home and percentage reporting having a link to the internet at home.
0
10
20
30
40
50
60
70
80
90
100
OECD
NFLD.
P.E.I.
N.S.N.B
.
QUE.
ONT.
MAN.
SASK.
ALTA.B.C
.
CANADA
Computer Internet
Perc
enta
geA vast majority of 15-year-old
Canadian students have a computer at home and a link to the internet.
9
More than half of the Canadian students aged 15 used a computer daily at home, but
computers at school are used less often.
0
10
20
30
40
50
60
70
NFLD.
P.E.I.
N.S.
N.B.
QUE.
ONT.
MAN.
SASK.
ALTA.B.C
.
CANADA
Home daily Home never School daily School never
Percentage of Canadian youth aged 15 reporting daily or non-use of a computer at home and at school.
10
There is a positive relationship between the PISA reading scores and having a computer
or a link to the internet at home.
• Roughly half a reading proficiency level separated those with and without internet at home.
420
440
460
480
500
520
540
560
580
internet no internet
PIS
A R
eadi
ng S
core
s
Relationship between PISA reading scores and having a link to the internet at home
•Consistently, similar patterns were found for each of the three dimensions of reading. Therefore, results of analysis of the overall reading score are presented.
11
Relationship between PISA reading scores and number of computers at home
420
440
460
480
500
520
540
560
580
600
No computer One Two Three +
PIS
A R
eadi
ng S
core
s
There is a positive association with reading scores and home computer access, and it increases with the number
of computers present.
12
Higher reading scores are associated with: frequent use of computers at home and
Internet, as well as infrequent use of computers at school and computer games.
460
470
480
490
500
510
520
530
540
550
560
computer at home internet computer at school computer games
Every day Few times a week 1-4 times a month Less than once a month Never
PIS
A R
eadi
ng S
core
s
Relationship between PISA reading scores and frequency of usage of: computer at home, internet, computer at school and computer games.
13
Three Indices of computer familiarity.
Index of computer usage (COMUSE): derived from responses to questions related to the frequency with which they used computer for learning purposes.
Index of comfort with and perceived ability to use computer (COMAB): derived from responses to questions related to comfort when using computers for various tasks and perceived ability with computers compared to other youth.
Index of interest in computers (COMATT): derived from responses to various statements on how they felt about computers.
14
Multivariate Analysis
• Up to now, absolute effect (I.e. variable’s effect in the absence of other variables) of ICT variables on student achievement were presented.
• Next 3 tables show the relative effect (I.e. variable’s effect in the presence of other variables) of ICT variables
• Thresholds to judge the magnitude of the effect:– Trivial: Less than |0.10|– Small: Between |0.10| and |0.30|– Moderate: Between |0.30| and |0.50|– Large: Greater than |0.50|
• An effect size less than |0.10| indicates that less than 1% of the variance in achievement scores is explained by the variable and, as such, reflects a trivial impact.
15
Relative effect of individual and ICT factors on reading achievement scores.
Small positive Small negative Trivial Moderate positive
Variable CANADA NFLD. P.E.I. N.S. N.B. QUE. ONT. MAN. SASK. ALTA B.C.
JOYREAD 0.39 0.40 0.39 0.40 0.38 0.36 0.41 0.44 0.44 0.38 0.45
TIMEREAD -0.03 0.03 0.02 0.00 0.02 -0.04 -0.01 -0.03 -0.04 -0.02 -0.05
DIVREAD 0.06 0.04 0.09 0.11 0.12 0.10 0.03 0.04 0.04 -0.01 0.04
FREQBOR -0.07 -0.14 -0.08 -0.05 -0.06 -0.07 -0.10 -0.09 -0.05 -0.05 -0.08
HMWKTIME 0.08 0.02 0.07 0.03 0.00 0.02 0.13 0.12 0.02 0.14 0.05
BELONG 0.00 0.02 0.04 -0.02 0.00 0.02 -0.02 -0.01 0.01 0.01 0.02
GENDER -0.03 -0.02 -0.01 0.00 -0.07 -0.02 -0.03 -0.06 -0.04 -0.05 -0.05
FUTCAREER 0.19 0.21 0.19 0.17 0.21 0.23 0.19 0.16 0.19 0.19 0.17
COMAB 0.15 0.15 0.14 0.12 0.11 0.13 0.16 0.17 0.11 0.17 0.16
COMUSE -0.20 -0.16 -0.13 -0.15 -0.09 -0.16 -0.21 -0.21 -0.15 -0.16 -0.20
COMATT -0.08 -0.04 -0.05 -0.04 -0.11 -0.07 -0.06 -0.16 -0.08 -0.10 -0.07
FREQCOMH 0.14 0.21 0.09 0.15 0.16 0.16 0.12 0.17 0.15 0.13 0.16
FREQCOMS 0.01 -0.02 0.00 -0.03 0.01 -0.02 0.02 0.06 0.07 0.03 0.01
FREQGAMES -0.02 -0.12 -0.06 -0.07 0.00 -0.04 0.00 -0.01 -0.05 -0.02 -0.02
Note: R² = 0.235 without ICT variables and R² = 0,280 with ICT variables (for Canada)
16
Relative effect of family and ICT factors on reading achievement scores.
Small positive Small negative Trivial
Variable CANADA NFLD. P.E.I. N.S. N.B. QUE. ONT. MAN. SASK. ALTA. B.C.
FAMSTRUC -0.02 -0.01 0.01 -0.04 0.00 -0.03 -0.02 -0.02 -0.05 0.00 -0.02
NUMSIBLING -0.05 -0.02 -0.04 -0.03 -0.05 -0.04 -0.03 -0.06 -0.03 -0.06 -0.06
HIGHSES 0.15 0.18 0.14 0.17 0.17 0.15 0.17 0.09 0.06 0.14 0.12
WEALTH -0.05 -0.09 -0.07 -0.06 -0.07 -0.08 -0.04 -0.08 -0.04 -0.06 -0.08
BOOKSHOME 0.11 0.09 0.12 0.11 0.16 0.15 0.09 0.20 0.14 0.10 0.14
HEDRES 0.06 0.05 0.02 0.02 0.04 0.08 0.05 0.00 0.00 0.06 0.06
CULTPOSS 0.06 0.08 0.03 0.11 0.08 0.03 0.08 0.07 0.05 0.06 0.04
CULTACTV 0.14 0.18 0.17 0.14 0.13 0.14 0.14 0.13 0.14 0.15 0.14
FAMEDSUP -0.18 -0.17 -0.20 -0.19 -0.17 -0.21 -0.17 -0.15 -0.18 -0.16 -0.17
PARACADINT 0.12 0.09 0.14 0.14 0.12 0.08 0.12 0.11 0.13 0.12 0.13
PARSOCINT 0.06 0.07 0.14 0.07 0.04 0.01 0.06 0.09 0.09 0.11 0.03
LANGHOME -0.10 -0.04 -0.04 -0.05 -0.04 -0.14 -0.08 -0.14 -0.09 -0.04 -0.13
COMAB 0.12 0.18 0.10 0.11 0.11 0.08 0.12 0.12 0.13 0.16 0.14
COMUSE -0.14 -0.15 -0.08 -0.13 -0.06 -0.08 -0.16 -0.13 -0.12 -0.13 -0.14
COMATT -0.04 0.02 -0.01 0.00 -0.04 -0.02 -0.03 -0.09 -0.04 -0.08 -0.04
FREQCOMPH 0.14 0.16 0.07 0.13 0.13 0.18 0.11 0.17 0.13 0.15 0.15
FREQCOMPS 0.01 -0.06 0.03 -0.03 0.03 -0.02 0.01 0.04 0.07 0.02 0.00
FREQGAMES -0.08 -0.13 -0.10 -0.08 -0.06 -0.13 -0.07 -0.09 -0.11 -0.08 -0.06
Note: R² = 0.208 without ICT variables and R² = 0,237 with ICT variables (for Canada)
17
Relative effect of individual, family and ICT factors on reading achievement
scores.
Small positive Small negative Trivial Moderate positive
Variable CANADA NFLD. P.E.I. N.S. N.B. QUE. ONT. MAN. SASK. ALTA. B.C.
GENDER -0.06 -0.05 -0.05 -0.03 -0.08 -0.04 -0.06 -0.08 -0.07 -0.06 -0.06
JOYREAD 0.32 0.36 0.36 0.35 0.35 0.31 0.32 0.38 0.35 0.31 0.35
FREQBOR -0.04 -0.12 -0.07 -0.01 -0.01 -0.05 -0.05 -0.08 -0.04 -0.03 -0.06
FUTCAREER 0.17 0.18 0.15 0.15 0.18 0.18 0.19 0.14 0.17 0.19 0.16
HIGHSES 0.13 0.14 0.12 0.16 0.15 0.15 0.14 0.06 0.07 0.14 0.10
BOOKSHOME 0.09 0.05 0.07 0.07 0.11 0.08 0.11 0.13 0.08 0.07 0.10
CULTACTV 0.08 0.09 0.11 0.10 0.04 0.09 0.07 0.06 0.08 0.08 0.08
FAMEDSUP -0.14 -0.13 -0.14 -0.14 -0.13 -0.17 -0.13 -0.11 -0.14 -0.13 -0.15
PARACADINT 0.09 0.08 0.13 0.10 0.06 0.04 0.09 0.09 0.10 0.13 0.08
FREQCOMH 0.10 0.14 0.03 0.09 0.10 0.12 0.08 0.15 0.13 0.10 0.12
FREQCOMS 0.02 -0.01 0.02 -0.01 0.02 -0.01 0.01 0.07 0.08 0.03 0.02
FREQGAMES -0.01 -0.09 -0.03 -0.04 0.02 -0.03 0.00 -0.01 -0.03 -0.02 -0.01
COMAB 0.12 0.14 0.11 0.10 0.10 0.10 0.12 0.14 0.09 0.15 0.14
COMUSE -0.17 -0.15 -0.12 -0.13 -0.09 -0.13 -0.17 -0.18 -0.16 -0.14 -0.18
COMATT -0.04 -0.01 -0.03 -0.02 -0.06 -0.04 -0.02 -0.13 -0.06 -0.09 -0.05
Note: R² = 0,3318 (for Canada)
18
Key findings
• Most 15-year-old Canadians have a computer and internet access at home, and they use them often.
• Having a computer at home is important, but using it is the key.
• Over and above individual and family factors, multivariate analyses show:– positive effect on reading achievement scores for:
• frequent use of a computer at home• comfort & perceived ability of computer use
– negative effect on reading achievement scores for :• computer use for learning purposes.
• However, enjoyment of reading has the greatest effect on reading achievement scores.
19
Policy Implications
• The new economy relies on knowledge workers with both good reading and computer skills.
• Chances of improving reading scores through the provision of computers alone are not high.
• Since computers are widely available to students, policy should be directed to encouraging their use.