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The main purpose of this study was to assess the effects of doodling on the learning performance of high school female students in Tehran. The design of this research was a pre-test–post-test with a control group. A group of 169 junior high school 12–13 year-old students was chosen for this study. After being taught a section of the Natural Science course, the students were asked to answer questions related to the lessons. After that, their grades were used as the pre-test scores. The post-test was carried out after the devised treatment. During ten sessions of the same course and teacher, the students were each given a blank sheet of paper and were asked for doodling if they felt like doing it. After each session, a couple of relevant written questions were asked to evaluate how well students had learned the lessons. The experiment and control group both consisted of 27 randomly selected students; participants in the experiment group were doodlers and those in the control group did not doodle. To evaluate the doodling effect a t-test analysis was performed. Comparison of the grades showed that the experiment group outperformed the control group significantly.
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Doodling Effects on Junior High School StudentsLearning
Mariam Tadayon and Reza Afhami
The main purpose of this study was to assess the effects of doodling on the
learning performance of high school female students in Tehran. The design of
this research was a pre-testpost-test with a control group. A group of 169
junior high school 1213 year-old students was chosen for this study. After
being taught a section of the Natural Science course, the students were asked
to answer questions related to the lessons. After that, their grades were used
as the pre-test scores. The post-test was carried out after the devised treat-
ment. During ten sessions of the same course and teacher, the students were
each given a blank sheet of paper and were asked for doodling if they felt
like doing it. After each session, a couple of relevant written questions were
asked to evaluate how well students had learned the lessons. The experiment
and control group both consisted of 27 randomly selected students; partici-
pants in the experiment group were doodlers and those in the control group
did not doodle. To evaluate the doodling effect a t-test analysis was per-
formed. Comparison of the grades showed that the experiment group outper-
formed the control group signicantly.
doodling, learning, educational performance, female adolescent, student
When we talk about education we mean not only the transfer of knowledge, but
also how well this is accomplished using various techniques (Winters 2011). Vari-
eties of techniques from different elds of art (e.g. drawing, music, theatre) can
improve learning (Eisner 1998). The educational implications of art have been
investigated by a number of researchers (Burkitt et al. 2005; Cox 2005; Anning
1999; Warren 2003; Eisner 1998). Doodling, unconscious scribbling, one of the most
common habits among students, is one of the practical methods in the eld of art.
Recently, there have been a few studies suggesting that doodling can improve
academic retention (Andrade 2010; Brown 2011; Chan 2012).
Doodling usually happens through unconscious drawing of patterns and shapes
when people are bored with something. It may be observed as a common practice
by students on their books or in marginal notes. Some teachers consider it a mat-
ter of losing attention and concentration. The term doodlewas rst used in 1930
with the meaning which we know today: that is, absentmindedly drawing non-
sense symbols, designs, gures and patterns, but in a more comprehensive
iJADE 0.0 (2016)
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DOI: 10.1111/jade.12081
denition it can be said that doodling is an unconscious designing while no atten-
tion is paid by the person (Gonzalez 2010).
Doodling usually occurs whilst a person is day-dreaming or is experiencing men-
tal wandering. It hardly ever happens when one is fully concentrating (Singer
1966). Both these two situations are states in which the default mood of the mind
is active (Schott 2011). Researchers observed that effective learning requires the
involvement of both brain hemispheres (Kerry 2005). Studies show that there is a
strong positive correlation between the dominance of the right side of the brain
and educational failure or behavioural disorders in schools (Warren 2003; Stellern
et al.1986). To involve both brain hemispheres, the brain should be trained. That
training includes a number of activities to strengthen mental skills like concentra-
tion, attention and problem solving. In this regard, the variety of activities might
be accentuated. It is noted that drawing and music are the most important com-
prehensive activities that involve both hemispheres (Caine & Caine 1990). So we
may observe doodling as an innovative activity that could affect both the right
and the left brain hemispheres.
Doodling decreases the level of autonomous arousal, accompanied by day-
dreaming and tiredness, and keeps the person conscious by increasing concentra-
tion (London et al. 1972). A simple activity like doodling needs a low level of
resources in the brain and is also helpful to prevent day-dreaming without affect-
ing concentration (Andrade 2010; Chan 2012). Day-dreaming is associated with the
generally high arousal level seen in boring situations through increased activity in
default cortical networks (Mason et al. 2007; Smallwood et al. 2007b). Doodling
focuses the brain and stops it from the day-dreaming which leads to a decrease in
concentration (Andrade 2010).
There have been a number of studies on the role of doodling in preventing
day-dreaming and mental wandering (Andrade 2010; Aellig et al. 2009; Chan
2012). In one study, doodling is requested while an auditory task is given. The
results show that doodlers are unexpectedly more successful in remembering than
the non-doodlers (Andrade 2010). In another study, doodling is asked while a
video task is given. It is demonstrated that there is not a signicant correlation
between doodling measures and the number of correct video content items (Aellig
et al. 2009). Recently, Chan (2012) has shown that doodling negatively affects per-
formance on a visual recall task. This may show that doodling can only be helpful
if it shares no common cognitive resource with the main activity. Doodling gener-
ally increases concentration: that is, an ability to keep and remember information,
especially in the case of boring and complicated subjects (Andrade 2010). It acti-
vates the mental eye using a part of the visual cortex, resulting in the ability to
make mental images, to solve problems in an innovative way, and to activate the
unconscious part of the mind through keeping the conscious part activated. It inte-
grates the visual, audience and kinetic senses, all of which lead to a better learning
process (Brown 2011).
So previous studies show that, except for situations in which the resources
needed for the main activity and those for doodling are the same, doodling is
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indeed helpful (Andrade 2010; Chan 2012). This may be because mental wander-
ing requires more resources than doodling (Aellig et al. 2009; Smallwood et al.
In fact, day-dreaming and mental wandering are considered to be barriers in the
way of educational development, especially for adolescents (Smallwood et al.
2007a). Basically, one of the important factors in educational performance is the
functionality of working memory (Gathercole & Alloway 2008; Gathercole et al.
2008; Gathercole et al. 2006). Since working memory depends on concentration
(Gathercole & Alloway 2004), it can be said that improving concentration indeed
affects the learning process positively (Holmes et al. 2010).
Since the teenage and adolescent years are the period in which growth in men-
tal experience and learning exibility takes place (Jacob 2002; Charles & Luoh
2003; Dubas et al. 1991; Graber et al. 1997; Stattin & David 1990), students in this
age group are experiencing physical and mental changes. They are subject to day-
dreaming and mental wandering more than the others. This may lead to educa-
tional failure. Therefore, it is important to study ways to decrease day-dreaming
and mental wandering, to help students to focus and achieve a better educational
performance (Smallwood et al. 2007a). Therefore, on the basis of the frequency of
doodling amongst students (Chan 2012), here we are to study the effects of doo-
dling on learning/education performance.
Furthermore, one of the successful methods which has gained a lot of attention
in the past few years is the VAK learning method (University of Pennsylvania
2009). This method is based on the idea that the subject connects with the data
being gathered through one or more ways: visual, audience and kinetic. Since peo-
ple normally lack enough knowledge about their abilities to know the best way of
learning, invention and use of a method which covers the three ways while
respecting the teaching process seems benecial (University of Pennsylvania 2009).
In this regard, it may be said that doodling as a visual and kinetic task, concur-
rently with an audio task (as used in this study), can improve learning and be a
useful auxiliary device for teaching.
As there are different changes in growth for males and females (Jacob 2002;
Charles & Luoh 2003; Dubas et al. 1991) and a difference between the educational
performance of male and female students (Graber et al. 1997; Cavanagh et al.
2007; Sttatin & David 1990), the gender was controlled. Participants of this study
were 54 females ranging from 12 to 13 years of age, with the mean age being
12.5, in a high school in Tehran. Experiment and control groups were respectively
among doodlers and non-doodlers.
Throughout the term, students completed a test after each unit. They com-
pleted ten tests, consisting of ve questions each. It is worth noting that
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questions were not graded equally because the content of each lesson was dif-
ferent from others and each question had a different grade having a total score
of nine.
1. Nine score tests made up of ve questions: to assess the level of studentslearn-
ing from the taught lesson in each session, students sat tests having ve ques-
tions lasting ten minutes and each was designed by the teacher. The maximum
and minimum scores in these tests were 9 and 0, respectively. The scores were
used as the educational performance.
2. White sheets for doodling: students were provided with A4-size paper for doo-
dling. Drawing tool, subject and pattern were freely chosen.
After coordinating with the school dean and the science teacher in carrying out
this research, it was decided to have ten session Science classes for the junior stu-
dents in the same place and under the same circumstances. It is worth mention-
ing that the set up here matched the typical set up for these students as much as
In the pre-test, all 169 students sat a quiz according to the routine classroom
schedule after one session of teaching Natural Science. Lessons typically contained
general concepts on experimental sciences, including basic notions about the biol-
ogy of animals, plants, chemicals, the human body, the physics of uids, and elec-
tricity. The students were then provided with a denition of doodling: doodling is
an unconscious drawing which happens when situations get boring. In order to
avoid any interruption in the ow of the class, no instruction was given and no
limitation was set. All participants were assured that there was no obligation to
doodle. The duration of teaching lessons was 40 minutes in order to have enough
time to assess the impact of day-dreaming and mental wandering on the students.
Although the total time for each session was normally 90 minutes, in this study we
set the time so that the rst 40 minutes were devoted to teaching new lessons, 10
minutes for the exam, and the nal 40 minutes were for other classroom activities.
So apart from the 10 minutes spent on the exam in each session, the rest of the
class schedule matched the normal set up.
To assess the effect of doodling, ten sessions were provided for the students
and they were asked to doodle when they felt the need or desire to do so. A mini-
mum amount of doodling if more than 50 per cent of the paper was lled
with doodles had to be presented in order for a student to be considered as a
After each session students were given a test that included ve questions com-
piled by the teacher herself, based on the lesson that had been taught. As men-
tioned before, the quiz scores of the rst session of the class, that is, before
describing doodling for participants, was used as the pre-test and the average of
ten quiz scores taken afterwards was the score for the post-test. All the students
wrote their names on the doodle sheets. After the tenth session, 27 students were
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randomly chosen from those who had doodled and were assigned to the experi-
ment group and 27 students randomly selected from those who had not doodled
were assigned to the control group.
The aim of this study was to investigate the doodling effects on junior high-school
Variances were not proved to be the same based on a level test in order to be
used in the covariance method in doing this descriptive analysis, so the effect of
intervention based on the meaningfulness of the mean of the pre-test and the
post-test was tested using a t-test.
Based on Table 1, the mean of the pre-test and the post-test of the experimental
group was 6.833 and 7.280 respectively. The standard deviation of the given data in
pre-test and post-test was 2.219 and 1.227 respectively. Based on the same table, it
is clearly seen that the mean of the post-test is more than that of the pre-test.
Based on Table 2, the t-test results of independent groups about having the
same levels of variances (F=6.6, sig: 0.013) is less than 0.05, so the variances are
not equal. In this regard, paying careful attention to the rows of Table 2 indicates
that the t size equals 2.194, which is a meaningful amount of 0.034 and which is
less than 0.05; hence, the t index is meaningful and there is a meaningful differ-
ence between the mean scores of the t-test of the pre-test and post-test. It is con-
cluded then that the doodling effect on studentslearning is meaningful.
In this study the effect of doodling on learning amongst 1213 year-old female
students was investigated, with the mean age being 12.5. The results showed that
Table 1. Measures of Central Tendency in pre-test and post-test of experimental group
Group Pre-test Post-test
Number 54 54 54
Mean 1.500 6.833 7.280
Median 1.500 7.500 7.650
SD 0.505 2.219 1.227
Variation 0.255 4.925 1.504
Table 2. Results of applying t-test scores as to ndings of post-test in experiment group
Post-test F Sig T
of freedom
of error SD
Accepted equalization
of variances
6.600 0.013 2.194 52 0.033 0.707 0.322
Rejected equalization
of variances
0 0 2.194 40.653 0.034 0.707 0.322
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doodler students were more successful in educational performance than those
who did not doodle: that is, doodlers outperformed non-doodlers in terms of edu-
cational performance. These ndings were consistent with other research in the lit-
erature (Andrade 2010).
In Andrades (2010) research, 40 participants aged between 18 and 55 were ran-
domly assigned to the experiment or doodling group. People in the doodling
condition were asked to shade printed shapes while listening to a telephone call.
The doodlers performed better on the monitoring task and recalled about 30 per
cent more information on a memory test. As can be seen, Andrade used an audi-
tory task, structured doodle and recall test. But in the current study, the effect of a
free doodle on the learning of lessons that included auditory and visual tasks was
investigated. Although there were some differences in methods between the cur-
rent and Andrade (2010) researches, the results supported the benets of doodling
as an artistic element in educational performance. It is also to be said that in case
of possible interference of doodling in the process of learning/recalling, it seems
that by creating a relaxing condition, doodling can improve unconscious drawing
by means of activating kinetic, auditory and visual activities which result in the
improvement of the psychological extroversion function, which both decreases
day-dreaming and increases concentration.
In another study, Aellig et. al. (2009) studied the correlation between free doo-
dling and the ability to learn contents from an educational video for a group of
34 undergraduate students. They found no signicant relationship. In Chan (2012),
14 undergraduate students were randomly assigned to either doodlingor non-
doodlingconditions. In the doodling group, participants were asked to draw ow-
ers at the same time as they were viewing a slideshow. Chan found that the mean
number of recalled images by the doodlers was signicantly lower than that of the
In the last two studies mentione, in which the task for learning/recalling is a
visual one, doodling has no or a negative effect on performance, but when the task
is auditory (Andrade 2010) or a mix of both visual and auditory (the current study),
doodling is an effective factor in learning. That might be because doodlersvisual
processing resources are divided into two visual tasks (Chan 2012). However, audi-
tory tasks do not require many executive resources and they may even help to pre-
vent mind wandering and day-dreaming without decreasing attention on the main
task (Andrade 2010). Since this study is the rst one in the eld of education in
Iran, and there has been no similar research or administrative method available
considering the strengths and weaknesses of previous studies as well as taking the
theory of doodling into account, applying doodling method has been in a way to
provide a suitable base for measuring unconscious extroversion. In this regard, the
method of selecting a suitable subject such as Science in order to apply auditory
and visual resources, free doodling, and having a base for unconscious doodling
can be noted. It should also be noted that students of this research were at the
age of both puberty and change of school level which by themselves can result in
a failure in educational achievement (Smallwood et al. 2007a).
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A noticeable point related to doodling in all researches is that doodling can
result in increased concentration by reducing day-dreaming (Andrade 2010; Aellig
et al. 2009; Chan 2012).
Day-dreaming causes the brain to focus on analysing personal emotions and
thoughts instead of processing the data gathered (Smallwood & Schooler 2006). It
has also been shown that day-dreaming intervenes in the performance of central
executive units of the brain, occupying its resources (Seibert & Ellis 1991; Small-
wood et al. 2003; Smallwood et al. 2007b; Smallwood & Schooler 2006; Teasdale
et al. 1993). In this study, because participants were not aware of how doodlers
and non-doodlers were grouped through the test sessions, they were prone to
Although a specic hypothesis is that doodling aids concentration by reducing
day-dreaming (Andrade 2010), in this study the teaching task would also have
encouraged day-dreaming because, according to research in the eld of educa-
tional failure (Smallwood et al. 2007a; Kerry 2005; Holmes et al. 2010), students
attention levels start to decrease after 1520 minutes spent in class (Matheson
On the other hand, for educational development to take place, coordination
between the data gathered from the environment and internal representations is
necessary (Smallwood et al. 2007a). But day-dreaming and the gradual decrease in
concentration prevent this coordination from happening (Smallwood et al. 2007a)
.Alternatively, here, doodling has been studied as one of the proposed methods to
establish this coordination. In some studies using laboratory procedures and retro-
spective methods it has been concluded that with increasing age people have less
frequently unbidden task-unrelated images, thought intrusions or day-dreams
(Giambra 1993; Lindquist & Maclean 2011). With regards to this negative relation-
ship between mental wandering and age (Smallwood & Schooler 2006; Christoff
et al. 2004), beside considering reported studies on the critical effects of mental
wandering on educational failure (Giambra 1993), research about ways of prevent-
ing mental wandering in educational systems especially among youngsters is
important. Unlike previous researches on participants more than 18 years old, we
considered a younger group (1213 year-old students).
Research has revealed that artistic activities can lead to academic achievement
(Eisner 1998). Since an important factor in educational performance is effective
function of working memory (Gathercole & Alloway 2008; Gathercole et al. 2008;
Gathercole et al. 2006), and one of the properties of working memory is its relation
to concentration (Gathercole & Alloway 2004), perhaps it can be concluded that
artistic activities (such as doodling in this study) can drastically improve learning
by improving working memory and concentration.
In some psychological approaches like art therapy and art media, the creative
process and the resulting artwork are used to explore peoples feelings, reconcile
emotional conicts and foster self-awareness (Rubin 2005). Nowadays to overcome
many educational problems and to help dropouts, art has been considered as a
form of therapy for special educational needs (SEN) students (Warren 2003). In this
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study we tried to apply doodling in a way in which there can be artistic plan in
line with improving academic performance, and in fact, doodling was dened as a
method of art therapy for students.
Alfred Adler, a founder of the school of individual psychology, sees doodling as
a manifestation of a rational craving for symmetry and order. He speaks of doo-
dling as a manifestation of the essentially rational urge with an adaptational mean-
ing: a manifestation of the struggle for survival and the struggle to organize, into
graspable form, the chaos of life(Slobtseva 2006, 22). In psychoanalytical
approaches, pictorial images and drawings are considered to be expressions of the
unconscious emotional aspects of a person (Diem-Wille 2012). From the Freudian
perspective, since doodles often include abstract elements, it is worthwhile seeing
how automatic paintings can be interpreted (Slobtseva 2006). In the present study,
we did not consider what students had drawn but it would be worthwhile to iden-
tify it for each student in order to obtain deeper information about a persons inte-
rior world.
On the whole, it can be said that stress and internal excitements can occupy
peoples minds and consequently prevent concentration. So seemingly, doodling
as a drawing activity in the eld of art can release excitement and increase levels
of concentration.
Due to the prevalence of doodling, specically in lower age groups, teachers
always take it as a kind of negligence and lack of concentration. In such circum-
stances the positive effects of doodling are ignored. This study and its positive
ndings about doodling in educational settings could be a good reason to pay
more attention to this prevalent and unconscious behavior. Considering the nd-
ings of this study, it can be said that by witnessing increasing rate of doodling
(mostly in lower age groups) among students, applying doodling in the process of
education can be seen as a great educational help. As a drawing process in the
eld of art it can control the occurrence of day-dreaming and increase concentra-
tion, which could lead students to better performance in their studies.
Not surprisingly, free doodling was investigated here. That is, an intense empha-
sis was put on the aspect of doodling being unconscious. However, future studies
could suggest a pattern or sample for doodling. Also, regarding the fact that to
this date all the results of other studies are in a modal form, it would be better for
future studies to nd a method to record the activities of the brain to assess the
impacts more precisely. Since only female students were chosen for this study,
generalising of the results is limited. Future studies could be carried out for male
students as well. Here doodling is asked for by providing blank sheets of paper for
students. Although the students are free to doodle or not to doodle, this is not in
accordance with doodling dened as an unconscious activity. Therefore, it would
be interesting to see the effects of doodling on learning by observation. That is,
no instruction and/or training would be given and only by observation would the
educational performance of those students who make drawings while listening in
the class be monitored.
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Mariam Tadayon graduated in art studies at Tarbiat Modares University, Tehran. She
holds an MA in Art studies. Tadayon has focused on the cultural and psychological aspects
of art and design studies and she teaches in the eld of art and design, also art studies, in
private artistic Institutes. She is T.A. at the Institute for Humanities and Cultural Stud-
ies in Tehran and works on art-based learning, especially doodling projects. Contact
address: College of art & architecture, Tarbiat Modares University, Tehran, Iran. Email:
Reza Afhami is an associate professor in art studies at Tarbiat Modares University, Tehran.
He holds an MA in architecture and a PhD in Art studies. Afhami has focused on the cul-
tural, political and psychological aspects of art and design studies. As the consultant col-
laborating with the organisation responsible for the development, renovation and
equipment of schools of I.R. IRAN, he has worked on several research programmes improv-
ing architectural design and art-based learning methods, and technologies. In 2008, he
was awarded the rst Farabi international award for young researchers and the Iranian
Academy of Art prize in art history. Contact address: Department of Art studies, College of
art & architecture, Tarbiat Modrares University, Tehran, Iran. Email:
Aellig, A., Cassady, S., Francis, C. & Toops, D. (2009) Do attention span and doodling relate
to ability to learn content from an educational video?, Epistimi, Vol. 4, pp. 214.
Andrade, J. (2010) What does doodling do?, Applied Cognitive Psychology, Vol. 24, pp. 100
Anning, A. (1999) Learning to draw and drawing to learn, International Journal of Art &
Design Education, Vol. 18, No. 2, pp. 16372.
Brown, S. (2011) The Miseducation of the Doodle, A List Apart, No. 322, 25 January (online).
Available at: (accessed
19 June 2014).
Burkitt, E., Barrett, M. & Davis, A. (2005) Drawings of emotionally characterised gures by
children from different educational backgrounds, International Journal of Art & Design
Education, Vol. 24, No. 1, pp. 7183.
Caine, R. N. & Caine, G. (1990) Understanding a brain based approach to learning and
teaching, Educational Leadership, Vol. 48, No. 2, pp. 6670.
Cavanagh, S., Riegle-Crumb, C. & Crosnoe, R. (2007) Puberty and the education of girls,
Social Psychology Quarterly, Vol. 70, No. 2, pp. 18698.
Chan, E. (2012) The Negative Effect of Doodling on Visual Recall Task Performance. University
of British Columbia, Cognition research report, Vol. 1
Charles, K. K. & Luoh, M. C. (2003) Gender differences in completed schooling, Review of
Economics and Statistics, Vol. 85, No. 3, pp. 55977.
Christoff, K., Ream, J. M. & Gabrieli, J. D. E. (2004) Neural basis of spontaneous thought pro-
cesses, Cortex, Vol. 40, No. 45, pp. 62330.
Cox, S. (2005) Intention and meaning in young childrens drawing, International Journal of
Art & Design Education, Vol. 24, No. 2, pp. 11525.
Diem-Wille, G. (2012) A therapeutic perspective: the use of drawings in child psychoanaly-
sis and social science, in J. Hughes [Ed.] SAGE Visual Methods. London: Sage, pp. 21331
Dubas, J. S., Graber, J. A. & Petersen, A. C. (1991) The effects of pubertal development on
achievement during adolescence, American Journal of Education, Vol. 99, No. 4, pp. 444
Eisner, W. E. (1998) Does experience in the arts boost academic achievement?, International
Journal of Art & Design Education, Vol. 17, No. 1, pp. 5160.
ª2016 The Author. iJADE ª2016 NSEAD/John Wiley & Sons Ltd
Gathercole, S. E. & Alloway, T. P. (2004) Working memory and classroom learning, Dyslexia
Review, Vol. 15, pp. 49.
Gathercole, S. E. & Alloway, T. P. (2008) Working Memory and Learning: A Teachers Guide.
London: Sage.
Gathercole, S. E., Alloway, T. P., Kirkwood, H. J., Elliott, J. G., Holmes, J. & Hilton, K. A. (2008)
Attentional and executive function behaviors of children with poor working memory,
Learning and Individual Differences, Vol. 18, No. 2, pp. 21423.
Gathercole, S. E., Lamont, E. & Alloway, T. (2006) Working memory in the classroom, in S. J.
Pickering [Ed.] Working Memory and Education. New York: Elsevier, pp. 21940.
Giambra, L. M. (1993) The inuence of aging on spontaneous shifts of attention from
external stimuli to the contents of consciousness, Experimental Gerontology, Vol. 28, No.
45, pp. 48592.
Gonzalez, Ilde (2010) Should Doodling be Encouraged? Does Doodling Improve Academic
Retention? (online). Available at:
4416005/8gpy_gonzalez_reaserchpaper_v07.pdf (accessed 2 July 2014).
Graber, J. A., Lewinsohn, P. M., Seeley, J. R. & Brooks-Gunn, J. (1997) Is psychopathology
associated with the timing of pubertal development?, Journal of the American Academy
of Child and Adolescent Psychiatry, Vol. 36, No. 12, pp. 176876.
Holmes, J., Gathercole, S. E., Place, M., Dunning, D. L., Hilton, K. A. & Elliott, J. G. (2010)
Working memory decits can be overcome: impacts of training and medication on
working memory in children with ADHD, Applied Cognitive Psychology, Vol. 24, No. 6,
pp. 82736.
Jacob, B. A. (2002) Where the boys arent: non-cognitive skills, returns to school and the gen-
der gap in higher education, Economics of Education Review, Vol. 21, No. 6, pp. 58998.
Kerry, S. (2005) Education for the Whole Brain (online). Available at: (accessed 16 March 2016).
Lindquist, S. I. & Maclean, H. P. (2011) Daydreaming and its correlates in an educational
environment, Learning and Individual Differences, Vol. 21, No. 2, pp. 15867.
London, H., Schubert, D. S. P. & Washburn, D. (1972) Increase of autonomic arousal by
boredom, Journal of Abnormal Psychology, Vol. 80, No. 1, pp. 2936.
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T. & Macrae, C. N.
(2007) Wandering minds: the default network and stimulus-independent thought,
Science, Vol. 315, No. 5810, pp. 3935.
Matheson, C.)2008 (The educational value and effectiveness of lectures, Clinical Teacher,
Vol. 5, No. 4, pp. 21821.
Rubin, J. A. (2005) Artful Therapy. Hoboken, NJ: Wiley.
Schott, G. D. (2011) The art of medicine: doodling and the default network of the brain,
Lancet, Vol. 378, No. 9797, pp. 11334.
Seibert, P. S. & Ellis, H. C. (1991) Irrelevant thoughts, emotional mood states and cognitive
performance, Memory and Cognition, Vol. 19, No. 5, pp. 50713.
Singer, J. L. (1966) Daydreaming. New York: Plenum Press.
Slobtseva, Y. (2006) Drawing in the margins, MA dissertation, College of Bowling Green
State University.
Smallwood, J., Baracaia, S. F., Lowe, M. & Obonsawin, M. C. (2003) Task unrelated thought
whilst encoding information, Consciousness and Cognition, Vol. 12, No. 3, pp. 45284.
Smallwood, J., Fishman, D. J. & Schooler, J. W. (2007a) Counting the cost of an absent
mind: mind wandering as an underrecognized inuence on educational performance,
Psychonomic Bulletin & Review, Vol. 14, No. 2, pp. 2306.
Smallwood, J., OConnor, R. C., Sudbery, M. V. & Obonsawin, M. (2007b) Mind-wandering
and dysphoria, Cognition and Emotion, Vol. 21, No. 4, pp. 81642.
ª2016 The Author. iJADE ª2016 NSEAD/John Wiley & Sons Ltd
Smallwood, J. [M.] & Schooler, J. W. (2006) The restless mind, Psychological Bulletin, Vol.
132, No. 6, pp. 94658.
Stattin, H. & David, M. (1990) Pubertal Maturation in Female Development. Hillsdale, NJ:
Lawrence Erlbaum Associates.
Stellern, J., Gutierrez, B. & Patterson, E. (1986) Hemispheric dominance of native American
Indian students, Journal of American Indian Education, Vol. 25, No. 2, pp. 817.
Teasdale, J. D., Proctor, L., Lloyd, C. A. & Baddeley, A. D. (1993) Working memory and stim-
ulus independent thought: effects of memory load and presentation rate, European
Journal of Cognitive Psychology, Vol. 5, No. 4, pp. 41733.
University of Pennsylvania (2009) Visual learners convert words to pictures in the brain
and vice versa, says psychology study, Science Daily, 28 March.
Warren, R. (2003) Drawing on the wrong side of the brain: an art teachers case for recog-
nizing NLD, International Journal of Art & Design Education, Vol. 22, No. 3, pp. 32534.
Winters, T. (2011) Facilitating meta-learning in art and design education, International Jour-
nal of Art & Design Education, Vol. 30, No. 1, pp. 90101.
ª2016 The Author. iJADE ª2016 NSEAD/John Wiley & Sons Ltd
... Furthermore, the doodling group performed better than monitoring task and recalled more information on a surprise memory test (Andrade, 2010). Also another studies doodlling has several benefits: (1) increasing student focus in taking notes, (2) releasing stress because doodle will use color games, (3) memory strategies, (4) increasing concentration of students, (5) students will pay attention to details (Andrade, 2009;Boggs, Cohen & Marchand, 2009;Tadayon & Afhami, 2016). ...
... The results showed that doodle notes were effective in physics learning on sub-topic concave mirror. These findings were consistent with other research in the literature, that students used doodle were more successful than those who did not doodle (Tadayon & Afhami, 2016). This is because the doodle notes were made is differently from other doodles. ...
... Many students are used to doing other things with a low cognitive load at the same time while listening to a lesson (Götz, Frenzel, & Pekrun, 2007) such as doodling or knitting. Research suggests that such tasks, especially doodling, may have even positive consequences on concentration and learning (Andrade, 2010;Tadayon & Afhami, 2017). The cognitive effort required for the game used in our experiment was not very high, yet the students in the push condition suffered a performance loss. ...
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Many university students use mobile phones during study tasks for unrelated activities. It is known that using social networking while studying reduces the learning performance. The objective of the present study was to investigate whether using smartphone games during a lecture reduces the learning performance, and whether this is influenced by receiving push notifications. Ninety-three students were randomized to three conditions: In two gaming conditions (G), participants played a custom-made gaming-app (20 s) at 2-min intervals while watching a video mimicking a lecture. In one subgroup (GN+), the game app sent push notifications; in the other (GN-), no notifications were sent. Participants in the control group (C) watched the lecture without playing. Subsequently, participants answered multiplechoice questions and estimated their own quiz performance. Comparing the quiz scores and subjective performance estimates of the three groups showed that the learning performance in GN+ was lower than in C (d = 0.51); no other differences were observed. Participants’ subjective performance estimations remained unaffected by the experimental condition. Possible implications of the divergence of the subjective estimate and objective performance are discussed, as well as limitations, such as the low complexity of the game used and the short lecture duration, not reflective of typical lectures.
... International Journal of Instruction, January 2022 • Vol.15, No.1 The Role of Sketchnote Sketchnote is those sketches that students draw on their books or worksheets. In a more precise word, sketchnote is unconscious drawing in marginal note (Tadayon & Afhami, 2017). Sketchnote is synonymous with taking visual notes. ...
... Subsequently, a test was created and tested for doodling [22], and the Lancet published a study regarding doodling [23]. Since then, the number of studies of doodling has increased [24][25][26][27][28][29][30] and, in 2015, the 2009 test was replicated [31]. Nevertheless, in over eighty years, these remain doodling's peer-reviewed studies-none of which had considered doodling as a valid measure of the psyche until the report on the Health Narratives Research Group from last year [19]. ...
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Pre-COVID-19, doodling was identified as a measure of burnout in researchers attending a weekly, in-person health narratives research group manifesting team mindfulness. Under the group’s supportive conditions, variations in doodling served to measure change in participants reported depression and anxiety—internal states directly associated with burnout, adversely affecting healthcare researchers, their employment, and their research. COVID-19 demanded social distancing during the group’s 2020/21 academic meetings. Conducted online, the group’s participants who chose to doodle did so alone during the pandemic. Whether the sequestering of group participants during COVID-19 altered the ability of doodling to act as a measure of depression and anxiety was investigated. Participants considered that doodling during the group’s online meetings increased their enjoyment and attention level—some expressed that it helped them to relax. However, unlike face-to-face meetings during previous non-COVID-19 years, solitary doodling during online meetings was unable to reflect researchers’ depression or anxiety. The COVID-19 limitations that necessitated doodling alone maintained the benefits group members saw in doodling but hampered the ability of doodling to act as a measure of burnout, in contrast to previous in-person doodling. This result is seen to correspond to one aspect of the group’s change in team mindfulness resulting from COVID-19 constraints.
... However, there is research that disputes this point of view, finding instead that doodling improves memory, concentration, and cognitive performance (Andrade, 2009;Burger, Lee, & Rust, 2018;Tadayon & Afhami, 2017). Additionally, of the seven perceptual learning styles cited by Adebayo, Mortimer, Marcis, and Little (2015), two modalities, haptic and kinesthetic, may be achieved through doodling or actions such as drawing on the tabletops. ...
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In the spring of 2011, a teacher allowed his fourth and fifth grade students to draw and write on their classroom tables. What began as a few names eventually turned into a series of frenetic marks that completely covered the tabletops. Over the course of two years, new groups of students brought with them another cycle of marking that evolved in the form of notations, designs, and even carvings. The teacher documented this process over the years collecting data in the form of digital photographs, video clips, email communiqués, and teacher journal entries. This paper presents an analysis of the data, a discussion on the effects of allowing general elementary classroom students a significant degree of creative agency, and the pedagogical impacts of that agency.
... First, doodling showed higher academic performance and memory retention in students. This extends previous evidence from studies of junior high school students that doodling improved academic performance (Tadayon, Afhami, 2017). In Tadayon and Afhami's research, 54 female participants aged between 12 and 13 were given two quizzes in a control and experimental setting to assess the impact of doodling on their academic performance. ...
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Doodling is often misinterpreted as a distraction to students in an academic setting– a hindrance to learning. However, recent research has shown that doodling may be beneficial to learning and memory retention. The current study expands upon previous research by investigating the impact of structured and unstructured doodling on auditory recall. This experiment was designed using a multi-method quantitative approach with an experiment that consisted of a control, structured doodling, and unstructured doodling group, and a questionnaire to assess students’ doodling experience. A group of 39 high school juniors were chosen for this study. In all three conditions, students listened to a history lecture in their normal classroom circumstances and took a quiz over the information afterward. Students doodled in both experimental conditions– they shaded a structured doodling sheet in the first condition and doodled in a blank, white A4 sheet in the second condition. The results indicated that those in the structured and unstructured doodling group performed significantly better than those in the control group, with structured doodling scoring the highest out of the three. The Post Doodling Questionnaire indicated that the majority of students experienced less daydreaming and increased recall while doodling; furthermore, the majority of students reported doodling naturalistically.
... Psychologists refer to this high-focused mental state as flow. Tadayon and Afhami (2016) claimed that doodling assists in enhancing students' focus and learning effectiveness. A state of meditation, resulting from high-focused attention, reduces stress and improves well-being ( Goyal et al., 2014;Khoury, Sharma, Rush, & Fournier, 2015). ...
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Burnout adversely affects healthcare researchers, their place of employment, and the production of valuable research. It is directly associated with symptoms of depression and anxiety. Having an easily employed and reliable measure of depression and anxiety in healthcare researchers is important if burnout is to be diminished. Doodling may be one such measure. Doodling became a possible indicator based on unexpected outcomes associated with one diverse and voluntary health narrative research group where doodling was introduced. The result, with respect to casual, self-reported levels of depression and anxiety, ranged from researchers expressing low levels of distress to those revealing clinical diagnoses of depression and anxiety. Changes to doodling execution and content, and their effect on the doodler—metrics previously unmentioned in the literature—hold promise for evaluating depression and anxiety levels of researchers. Maligned in academic settings with increasingly punitive outcomes, doodling should be reassessed as a possible indicator of internal states of distress, dysphoria, depression, and anxiety based on this University of Toronto Health Narratives Research Group result of doodling. Under certain well-defined conditions, variations in doodling may serve as a measure of change in these internal states and, therefore, act as an aid in reducing burnout.
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Penelitian ini bertujuan untuk mengetahui efek dari zentangle terhadap retensi memori. Partisipan dari penelitian adalah 38 mahasiswa yang dibagi menjadi dua kelompok pada kelompok kontrol dan eksperimen. Partisipan terdiri dari 29 perempuan dan 9 laki-laki dan memiliki kategori umur 17 – 20 tahun, yang didapat dengan convenience sampling. Desain penelitian menggunakan between subject-design posttest only. Kedua kelompok menerima materi yang sama tentang mindfulness di dalam kelas. Peneliti merancang materi yang diberikan sehingga dapat menggambarkan kondisi seperti di ruang kelas. Rekaman suara yang berisikan nama dan angka diperdengarkan kepada partisipan. Rekaman sebelumya telah diujikan dengan skala untuk melihat tingkat kebosanan. Intervensi yang diberlakukan pada kelompok eksperimen berupa praktik zentangle yang diperbolehkan ketika sesi mendengarkan rekaman. Sementara pada kelompok kontrol hanya diperkenankan mendengar tanpa praktik zentangle. Setelah rekaman suara diputar kemudian diikuti dengan dua jenis tes untuk memori. Tes recall diberikan setelah rekaman suara selesai diputar; sementara itu tes recognition dalam bentuk pilihan ganda diberikan 30 menit setelah sesi listening. Hasil uji analisis menggunakan independent sample t-test (p=0,939) antara kelompok eksperimen dan kelompok kontrol menunjukkan tidak ada perbedaan yang signifikan pada tes recall, tetapi terdapat perbedaan yang signifikan pada hasil analisis menggunakan mann-whitney u test (p=0,001) antara kedua kelompok dalam tes recognition yang diberikan. Implikasi lebih lanjut akan dibahas dalam penelitian ini. Kata kunci : zentangle, retensi memori, kebosanan
Purpose The millennial students are disengaged in the current classrooms. Hence, there is a definite need to evaluate and compare the current learning tools. The purpose of this paper is to assess the effects of three learning tools – listening, structured doodling and note-taking – on recall ability of students in the classroom. The authors have specifically compared the effect of Andrade’s (2010) and Boggs et al. ’s (2017) structured doodling condition (i.e. shading in shapes) vis-à-vis note-taking and listening. Design/methodology/approach An experimental research design was used for the study where three groups of around 40 participants each were created. The participants were Indian students (72 males and 48 females) who were undergraduates at NMIMS University, Navi Mumbai. Each group experienced all the three learning methods that are listening, note-taking and structured doodling. It was a 3×3 mixed model design. Listening, note-taking and structured doodling were compared on recall ability. This was assessed using a questionnaire extracted from Boggs et al. ’s (2017) study and a self-designed evaluation sheet. Findings Across all three groups, structured doodling and note-taking had a higher impact on recall ability than the traditional method. However, the difference in the impact of note-taking and doodling on recall ability was not practically very large. The current finding assumes higher significance in the Indian education set up as Indian students are accustomed to note-taking as a learning tool yet structured doodling had a statistically analogous effect on recall ability compared to a systematically documented note-taking. Hence, a future direction could be to assess the impact of a blended learning tool that utilizes both note-taking and doodling or note-taking through doodling. Research limitations/implications First, the authors did not capture doodling habits of the students. Second, the study limits itself to a small sample size of 120 management graduates. The study can be extended to other disciplines like science and technology and also on how the higher engagement learning tools can be utilized in the normal environs of a course in a classroom. A future direction of the study can be to engage students in an activity as long as a regular lecture of about 60 min. A fusion of learning tools that effectively combines note-taking and doodling can be suggested to enhance recall ability and classroom engagement. Practical implications Higher order learning tools characteristically require technologically advanced infrastructure setups. In developing economies like India, most educational institutes may not have access to technologically advanced classrooms; hence, the implementation of higher engagement learning tools becomes a huge challenge. The endeavor in this study has been to study the impact and effectiveness of learning tools like doodling and note-taking which do not inherently call for access to advanced technology. Social implications In today’s age of globalization, emerging economies like India are seen to be taking center stage. Thus, ensuring that Indian education system is geared up to train students to compete globally and in the same vein, these students have access to higher engagement learning tools – the absolute need of the hour. Hence, the current research aims to bridge the gap between global education innovations and Indian classroom teaching method implementation. Originality/value The research has assessed the effectiveness of three different learning tools, namely – listening, note-taking and structured doodling – in Indian higher education setup. The current research is in harmony with the current literature and would function as an adaptation and augmentation of Andrade’s (2010) and Boggs et al. (2017) studies. A very scanty research body on understanding the impact of learning tools on recall ability exists in the Indian education setup. Current research will act as a bridge between global path breaking education research and implementation of in-class teaching methods in Indian higher education.
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Copyright: © 2012 Chan. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivates License, which permits anyone to download and share the article, provided the original author(s) are cited and the works are not used for commercial purposes or altered in any way. Abstract Doodling consists of drawings that are often made to pass the time while an individual's primary attention is elsewhere. Therefore, it is often seen as a sign of lack of attention. Studies have shown that doodling can actually be beneficial to recall performance on auditory tasks since it does not require many executive resources and may serve to stop mind wandering without affecting attention on the main task (Andrade, 2009). To date, there have been no studies investigating whether recall performance is affected when the primary task requires the same modality as doodling; the present study aimed to determine whether doodling would affect performance on a visual recall task. Participants (N = 14) were randomly assigned to either 'doodling' or 'non-doodling' conditions. Both groups observed a collection of images that they were then instructed to recall from a second list presented directly afterwards, with the 'doodling' group instructed to doodle while observing the first set of images. As hypothesized, the mean number of recalled images by the doodlers was found to be significantly lower than that of the non-doodlers. This was likely due to the fact that doodlers' visual processing resources were divided between the two tasks. An implication of this finding is that multitasking in activities which require the same primary modality as that of the main task can have a negative effect on the amount of information processed and retained.
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Poor working memory skills are relatively commonplace in childhood, and have a substantial advance impact on children's Learning. This article describes the profile of cognitive and behavioural characteristics associated with working memory, methods for assessing working memory skills, and ways of supporting the Learning needs of children affected by this problem.
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Abstract Previous research has shown that children systematically alter the size and colour of their drawings in response to the emotional character of the figures which they draw. However, these findings have been demonstrated only with children receiving mainstream Western education. This experiment was designed to investigate whether children receiving a different kind of education also use scaling and colour differentially for depicting figures of contrasting emotional significance. 76 children, 44 children from mainstream schools (21 boys, 23 girls) and 32 children from Steiner schools (15 boys, 17 girls) were divided into two age groups, with 38 children in the younger age group (mean age 4 years 7 months) and 38 in the older age group (mean age 6 years 8 months). All children completed three drawings of differentially characterized human figures: a neutral, a happy, and a sad figure. Children from the mainstream schools drew larger figures overall, but educational background did not interact with the specific emotional character of the figures in producing these scaling changes. However, there were differences between the two educational groups in relation to the colours used for the negatively characterised figures. The findings are discussed in terms of the need to further understand the role of the educational system in mediating children's depictions of emotional character in their drawings.
There have been many claims by cognitive psychologists that working memory (WM) plays a role in learning during childhood, supported by studies demonstrating close links between WM skills and measures of learning and academic achievement. An important shortcoming of this approach is that it does not illuminate how and why WM is needed in the everyday classroom activities that form the basis for learning. A consistent finding from a large number of studies is a close relationship between children's performance on indicators of scholastic attainments and their WM skills. Young people with low scores on standardized assessments of reading and mathematics usually score poorly on complex memory span tasks that involve both the processing and temporary storage of verbal reading material. To illuminate the specific nature of the failed learning episodes that may be contributing to the failure of such children to make normal scholastic progress, classroom behavior of three children with poor WM abilities was observed. Four different kinds of learning failure were observed with high frequency in each of these children that could be attributed to the children failing to meet the WM demands of the activity: forgetting instructions, failing to meet combined processing and storage demands, losing track in complex tasks, and forgetting from episodic long-term memory at high rates. The chapter concludes that learning failures impair the children's chances of abstracting knowledge and skills that form the basis for functioning in the complex cognitive activities associated with the domains of literacy and mathematics.
Student doodling is a form of self-expression that diverts attention from course content in an educational setting. The purpose of this research was to determine the extent to which student attention span and doodling can be used to predict how much students learned from an educational video. Students watched a video in a mock educational setting and were given the opportunity to take notes on the video and doodle. They completed an attention span measure and answered questions about video content. The students' notes from the video were collected and scored for amount and complexity of doodles. Scores on the attention span and doodling measures were correlated with the number of correct video content items. Students with shorter attention spans were expected to have more complex doodles and perform lower on the video content quiz. However, this hypothesis was not supported. This study has implications on the value of multitasking and provides greater insight on a student's ability to retain course material.
The experience of daydreaming is familiar to all, yet daydreaming and its correlates in an educational context have yet to be adequately explored. This study investigated academic and other potential correlates of task-unrelated images and thoughts (TUITs) during lectures. 463 undergraduate psychology students participated across three lecture sessions. During lectures, an auditory probe was sounded five times; alerting participants to record whether they were experiencing a TUIT at that moment. Results revealed significant negative correlations between TUIT frequency and age, detail of notes taken and course interest. Also, those seated in the front third of the lecture experienced significantly fewer TUITs. Furthermore, as TUIT frequency increased, there was a trend towards poorer performance in course examinations, which measure the learning of lecture-based content.
When not engaged in demanding tasks, we commonly experience streams of thoughts and images quite unrelated to immediate sensory input. Such stimulus-independent (SI) thoughts may be troublesome, as in worry, insomnia and depression.Previous research within a working memory paradigm suggested that SI thought production depended on central executive control resources. To explore this hypothesis further, we examined the interference with SI thought production resulting from shadowing auditorily presented digits compared to remembering them. Effects of stimulus presentation rate and size of memory load were also examined. At slow presentation rates, remembering produced more interference than shadowing. For shadowing, faster presentation produced greater interference than slow presentation. In remembering, interference was not substantially affected by size of memory load, was greater when subjects reported greater awareness of task stimuli, and was restricted to thoughts forming parts of connected sequences.The results are consistent with the view that production of connected sequences of SI thoughts depends on central executive control resources, that tasks interfere with thoughts to the extent that they make continuous demands on these resources, and that high subjective awareness of task stimuli is a marker that these resources are deployed to task management rather than thought production. The results are not consistent with Antro-bus' view that interference with SI thoughts by tasks is simply a function of the rate of processing information from external sources required by the task.