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Different senses of "spatial" skills:
Spatial, visual, geometric, navigation, mental rotation, or Piagetian milk
bottle.
Basic idea: prologue
Spatial skills, using
existing tests, seem to be correlated with L success in STEM subjects
generally.
2D vs. 2.5D vs. 3 and/or
viewer-centric
vs. abstract, indep.
and/or
schemas
(learned, multiple) vs. fingerprints (AI) and/or
metric vs.
connection (topography)
James Flynn's
speculation about what bits of IQ have recently grown, and are called for in
post-industrial-rev. society.
Lots of learning
involved in acquring these skills BUT typically when you have them, you think
you didn't learn but just had them.
But really lots of work, esp. time and practice, in acquiring them.
Besides spatial and
visualisation skills, is it important to have (but takes time to learn)
symbolic skills e.g. the diff. between using natLang and a formal lang.; a lang about effort after meaning and
with redundancy, vs. a lang. where every char and its sequence order and
its vertical position and ... makes a difference. Dyslexia – any connection, even
harder for learning maths?
Field in/dependence.
Quintin email 5 Nov 17 opening qu. to Jack
Hi Jack (and Lovisa and Steve, for comment),
I read the paper that you recommended to the
students as the most influential paper ...
"Spatial Ability for STEM Domains:
Aligning Over 50 Years of Cumulative Psychological Knowledge Solidifies Its
Importance", Wai, Lubinski, Benbow (2009),
Journal of Educational Psychology, Vol. 101, No. 4, pp.817-835
and attached here.
Three things struck me:
1.
Is this the best paper for the students? What about a paper that demonstrates one
can get better at SS?
I was struck by the choice. It demonstrates that spatial skills as
measured in early adolescents (around age 13, I think) relate very strongly to
later achievement in STEM subjects / careers - via a number of studies of
different kinds. But it makes no
mention of being able to get any better at spatial skills with training - just
that we should explore this aspect. Its stronger recommendation is that we
should be using spatial skills tests, just as we do maths and verbal/language
skills, early on to identify folk for the STEM talent pool that we would
otherwise miss.
A student who reads this paper carefully might
assume that if they have low skills now, then they're stuffed. That is very much not the message we aim
to convey!!
Which paper should we read to most strongly
encourage us/students that we can get better at these skills with training?
2. Definition of spatial ability in this
paper
I also noted that the paper used a definition
of spatial ability given by Lohman (1994a,
p.1000) as "the ability to generate, retain, retrieve, and
transform well-structured visual images".
The trigger here for me was "visual
images" - and I'm thinking of the comments Lovisa has made in passing to
the difference between visual ability and spatial ability. She has referred to this as a recent
finding - realising that there are two different, but related presumably - kind
of skills - and I wondered how recent? More recently than 1994?
I'm not sure if this matters - but it struck
me.
3. The particular tests used in this paper -
and how it relates to CS / our study
Further on in the paper, we get the particular
kind of tests of spatial ability that the studies depend on - these are
reproduced in the screenshot below/attached.
Our particular test is out like the first of
these - three dimensional spatial visualisation.
I can see why this and the third one would be
of particular value in Engineering education - where I imagine they do a lot of
this kind of consideration of physical objects and their properties. Also in applied areas in Physics and
Maths.
This comes back to the difference between
visual and spatial. These tests do
seem quite visual. But what we do
in CS doesn't seem that visual.
Two thoughts:
a. Are these four all really measuring the
same underlying ability, or are we missing something by only really using
exercises of the first kind?
b.
I'm still looking for that coherent argument as to why ability at these
kinds of exercises should help with CS. What is it we do in CS that relates to
these kinds of exercises?
Steve, that's the sort of thought-experiment
that I'd think appeals to you - red rag to a bull?
Cheers, Quintin.
My email 5 Nov 17 Re: spatial skills and our intervention.
Quintin and others: here are some remarks of
mine.
The convincing way of showing that spatial
ability helped STEM learning would be to take a learner (L), measure their
spatial ability (SA) and STEM knowledge; train them to improve their SA; then
teach them more STEM and show that sped up their learning. Cooper & Sorby (2015) tried this,
but failed to improve their SA so they failed.
Wai et al. discuss longitudinal studies,
showing that SA when young "predicted", i.e. was correlated with,
STEM performance later. A minute's thought shows that this is no
proof. If it is possible to improve
your SA by practice at all, then just taking more STEM courses would improve it
too, so the early measure isn't the cause so much as just doing more STEM makes
you better at learning STEM.
Could
a longitudinal study be convincing?
If Ls were sorted by SA score, and their STEM test scores after some
STEM courses showed they were still sorted in that order, perhaps. Especially if this was done before they
had any choice about whether they were taking STEM subjects.
But things are probably worse than that. Alec Johnstone (sorry, I don't have a
ref. for this) showed in a study using GU chemistry finals exam questions, that
many questions produced student marks correlated with the size of the student's
working memory. In other words,
from a psychometric (i.e. scientific) point of view, the questions were not
measuring chemistry knowledge as they should have been, but the size of a
student's working memory. So it is
entirely possible that STEM performance = STEM exam scores = spatial ability if
questions unintentionally presuppose spatial ability e.g. use diagrams, require
you to imagine spatial layouts from descriptions, ..... I.e. the correlation may well be
produced by poor unconscious practice by academics.
I am in fact pretty sure that some small areas
of science end up teaching their students spatial abilities the rest of us
don't have. Crystollography (part
of inorganic chemistry; and also of Materials Science) is like this: people who
have done a serious course on this can think spatially about non-rectangular
space in the way the rest of us can't.
Yet crystals are VERY simple: often just a pattern of 5 or so atoms
(points) in a particular spatial relationship which repeats. (E.g. "face centered
cubic" vs. "body centered cubic".) My conclusion is that humans CAN learn
more about spatial relations, but we are VERY VERY bad at it without special
practice. And by "we" I
include most people with several STEM university degrees like me.
Here is a demo thought experiment that Geoff
Hinton taught me, and which shows that most people, and probably you, are
embarrasingly incompetent at visualisation / spatial reasoning. Imagine a wire-frame cube. Just about the most simple and familiar
3D shape to everyone. There it is
(in your imagination) on a table in front of you: one square flat on the table
top, 4 vertical edges, a second square forming the top and parallel to the one
on the table. Easy.
Now
imagine taking one corner in your fingers and raising it so that the cube is
now standing on one corner, with the opposite (diagonal) corner held by you
directly vertically above it. Do
this now using your physical hand, but with an imaginery wire frame cube. Now with your spare hand, point to where
the other corners are in space.
[Go on: do it right now.]
When people do this, many just indicate 4
other corners. (But with the cube flat on the table, you can easily see in your
mind 4 corners on the table; 4 more on the top face = 8 altogether = 6 other
than the two corners held by you and the table top in the exercise.) Furthermore, they indicate the remaining
corners as more or less in a plane.
Actually the 6 remaining zig up and down alternately.
I
know this because I was taught it by Geoff. Generally, it shows what rubbish we are
at this kind of thing. (It must
also cast doubt on the importance of the test items generally used.)
Now for some points that are, in a way, the
opposite of this.
Is being rubbish at these rotation skills
actually good?
As you probably know, if you are shown a
photograph of a face upside down you immediately know it is a face but you
can't recognise who it is -- no-one can.
That means not only that we encode faces in one 2D orientation only, but
that no-one can do 2D rotation of the face (picture) in front of them so that
they can compare the face against our memory of faces.
Irvin Rock showed that it isn't just faces that are strongly affected by
orientation. If I do a fairly
accurate tracing of the outline of Africa and show it to you as a shape without
in any way making you expect something from a map, you will spontaneously
recognise it as Africa; but if I present it rotated at right angles you will
probably never notice that it is Africa-shaped.
One thing all STEM subjects have in common is
a lot of symbolic notation. In such
notation, things (characters, symbols) mean different things depending on their
orientation. Not just in English
(in some fonts) 'u' vs. 'n' but say 'T' vs. the T upside down which is a symbol
from ?logic? set theory? So in STEM
it is important NOT to do even 2D rotation automatically, but to turn it on and
off according to context and normally off. Some accounts of dyslexia suggest it
is not turned off so reliably in dyslexics.
This illustrates how the things often tested
as spatial ability are in fact NOT generally useful in either life or STEM,
only in special contexts. And must
make us also wonder about what tests WOULD be appropriate.
It is possible that spatial tests are one kind
of test for abstraction (an object regardless of its orientation ...): and that
that is both unnatural and what is specifically useful in STEM as opposed to
humanities, where human meaning and connotation are what is absolutely
central. Testing, in fact, for
being able to learn abstract meaningless stuff.
Quintin's reply to my email 6 Nov 17
Hi Steve,
First thoughts on your email.
I fell straight into your trap and did exactly
what you predicted, on the cube exercise.
And I completely appreciate that teachers may
ask questions that require a skill that is not necessarily their own discipline's.
But I'm not totally sure about that for CS,
and CS is one of those subjects where the SA has been shown to correlate. I don't think we have that many
exercises at all that obviously depend on overtly visualisation ability. Whereas, I can imagine that engineering
would do that. I think the visualisation
aspects that much of your mail concerns may be a red herring -- it's spatial
ability we're talking about &
but I don't know enough about this & Lovisa does...
Lovisa, we need a paper on the separation
between visual and spatial skills that you were talking about!! Please send one along!
It seems to me that juggling information at
the limit of working memory space - not just single items - but a collection of
items that are related - seems to be what we are getting at here. So not as simple as remembering 7
digits, or something like that, but remembering a number of bits from different
but related contexts.
I don't think the face-upside-down is a good
example, as the information is much more continuous than either the spatial
skills tasks, or what one does in programming - much more discrete in the
latter two. There's just too much
information to juggle in one's head at the same time to do the face rotation.
And with the Africa example - pretty much the
same, I think. In any case, I'm not
sure how visual and spatial are related in these two examples - Lovisa, we need
you!.
There is something that is being tested in
these exercises that is about relationships between things, and being able to
make the mapping. It's not about
visualisation, per se, that is just one context for it. It's about a number of models of the
same thing, and being able to make the mapping from aspects in one model to
aspects in another. So, yes, it's
abstract, because it's any kind of model that I'm trying to hold in my head. And it needs to be reasonably simple
models too, otherwise I just cannot hold it all - hence why faces and Africa
might not work the same way.
Steve, this relates to what you have often
told me about Chemistry, I think - three models that a chemist must keep
together - the equation, the molecular model and the atomic model.
a) http://visualizingchemistry.com/research Roy Tasker is the key
man. Looks as if he is now
semi-retired. I met him years ago
while he was visiting here, and he left a deep impression.
b) Johnstone, A. H. (1991) "Why
is science difficult to learn? Things are seldom what they seem" Journal
of Computer Assisted Learning vol.7 no.2 pp.75-83 doi:10.1111/j.1365-2729.1991.tb00230.x
I tried some of Jack's sketching exercises -
they hurt my head in a very similar way to trying to hand execute a piece of
code with just too many variables to comfortably hold onto - just one or two
too many pieces of information to hold for comfort. I did get into the swing of it a bit -
but after a while I definitely felt mentally tired and my success flagged a
little.
I found, and am still finding, the up-ended
cube hard to imagine/visualise. I
found the shapes that Jack was getting me to sketch to be much simpler to
visualise in my head, from right-side, top-side and front-side views - until I
got tired.
Whilst I do find the cube hard to visualise, I
am finding the MCQ exercises and the sketching, whilst doable, taxing in a
rather similar way to remembering a large number, or, as I say, to tracing
code. I also recognise that for the
MCQs, I do a lot of checking that I think I probably don't need to do - my
first intuitive answer is usually right.
But it seems to me that I'm just not able to hold the mental model for
long enough to be quite confident I have the right answer. I wonder if practice will help here -
and will it be because I can hold the model for longer or because I developed
some good tricks for those kinds of questions? Who knows?
Enough for now.
Lovisa, on spatial vs. visualising 7 Nov 17
I think there is some about this in my
psychology dissertation. In it, I mention the work of Markus Knauff ("A
Space to Reason") and the evidence that the systems for visual and spatial
processing are dissociated, perhaps coinciding with the boundaries of the
ventral and dorsal pathway in the two-streams hypothesis. The former is
concerned with vivid, metric information, while the latter is concerned with
topological, spatial information, and can be said to be "amodal". It
is also used in logical reasoning.
Because they are dissociated, the systems
compete for the same resources, to the effect that a logical riddle told in a
visually vivid way takes longer to process (and activates visual cortex more)
than a less vivid version with the same amount of detail. Therefore, mental
visual imagery is usually not beneficial, and the goal of both internal and
external visualisations should be to facilitate the construction of spatial
models, by making abstract relations like transitivity more salient, etc.
Can a person have good spatial skills but poor
visualisation skills? I suppose studies with blind people could be of interest
in figuring out how separable visualisation and spatial skills are. They can
reason without visual input, though maybe tactile diagrams serve as a modality-specific
analogue that could either help or impede spatial model construction.
Can
a person have good visualisation skills but poor spatial skills? Yes, I
personally still get lost in the psychology and CS buildings...
(2) Lovisa, on spatial vs. visualising 7 Nov 17
Hi everyone and thank you for all of your
insights!
Regarding visuo-spatial skills: there is
research dating back from the 1980s that the systems for visual and spatial
processing are dissociable. Dissociation means that impairments in one system
do not necessarily impact the other, and that activation of one system (e.g.
including a vivid visual description of a character in a logical riddle)
interferes with the processing of the other (the spatial system's ability to
solve the riddle).
The visual system would be concerned with
metric information (e.g. exact relative distances between features in a face)
textures, and colours, whereas the spatial system would be topological (about
the logical relations of entities, like a subway map, or indeed faces in
general). They operate semi-independently of each other. Simulating programs
would be a case of spatial processing, because it does not depend on visual
appearances, though visually processed representations could help highlight
spatial relations.
Separating them as skills seems tricky,
however. I don't know to what extent blind people are impaired by not having
visual aids available (maybe they have tactile equivalents of visualisations),
and I am not sure of how pure visual skills could even be measured. Sketching
portraits may seem valid, but from personal experience, I'd say that being able to
draw accurate portraits does not involve a vivid visual experience, but is
simply about iteratively comparing the relationship on the paper to that of
reality. It does not subjectively feel like solving a logical problem, rather
like perceptually isolating relationships.
(Construct validity measuring what we
want to measure - is a problem in working memory research, and it is easy for
the cognitive philosophical entities like "systems" and
"abilities" to take on a life of their own when there are no strong
empirical constraints.)
Manipulating mathematical operators or
programming constructs may seem far removed from mental rotation, because it is
about following arbitrary formal rules rather than simulating things that could
be physically presented before your eyes. There is a parallel difference
between simulating algorithms (logical procedures) and mechanical systems of
levers and pulleys. (Mary
Hegarty has dedicated her career to studying this).
Quintin's idea of mapping as a key predictor
of programming ability and Steve's/Jack's mention of abstraction seem to go
hand in hand, abstraction being the ability to perceive an invariance across
different representations, which no doubt involves performing many conscious
comparisons in WM. Much literature related to pattern-oriented instruction is
related to this (see Jens Bennedssen's Abstraction ability as an
indicator of success for learning computing science?). I will make sure to
summarise related studies once I have read them more carefully.
Finally, I thought the point raised by Steve
about a possible circularity built into SA research is interesting. If course
examinations are unconsciously designed to measure spatial skills, then no
wonder that it correlates with spatial skills! However, this does not
necessarily diminish the relevance of the research. If the goal is to help
people advance in their STEM careers, and course examinations are the
gatekeepers, then we can keep them as a fixed benchmark --regardless of how
ill-suited they are - and address what leads to success in them. Otherwise we get a case of moving target --if
we don't know our goal, it's hard to know our solution.
Kind regards,
Lovisa
Lovisa Resources / refs
On
spatial/visual divide: My favourite resource for this is:
Markus Knauff's book "Space
to Reason", which the university has available as a free e-book.
Farah, Hammond,
Levine, & Calvanio (1988): Visual and spatial mental imagery: Dissociable
systems of representations
Hecker & Mapperson
(1997): Dissociation of visual and spatial processing in working memory
Miyake, Friedman,
Rettinger, Shah & Hegarty (2001): How are visuospatial working memory,
executive functioning, and spatial abilities related? A latent-variable
analysis.
The
issue is far from settled -- in this study, for example, the authors argue that
increasing the number of visual components in a WM task does not impede
performance if the cognitive load is the same:
Vergauwe, Barrouillet & Camos (2009): Visual and spatial working
memory are not dissociated after all: A time-based resource-sharing account.
Jens Bennedssen's Abstraction ability
Mary Hegarty xxx
Main points from
the above?
2 brain pathways:
"visual" and "spatial". They are different, but remember
schema-driven recog.
Is it AI/automatic/2D vs. conceptual, structural? Actually finding your way out of the
building sounds "spatial" but is connectivity not
metric-distance. While mental
rotation is metric.
Working memory making a diff. on tests (and so being about schemas
not quantity).
Practice makes a BIG difference, but
there could
also be some general transfer?
Piaget's
"genetic" – dev. pathway that depends on history as well as fn
learning.
Consider 2D, vs. 2.5D (viewer-centered) vs. 3D (no viewpoint). Humans aren't very good at 3D, perhaps
because a) gravity makes our world 2.5D, unlike swimming and flying
b) Immediate visual processing has to be 2.5D at first, and so this rep. persists and
is often enough by itself.
Pure spatial, as Jack and Lovisa probably think of, is tested for by
mental rotation.
BUT:
Piagetian (Adey
& Shayer) "spatial"
Their view is that effects on STEM learning is about how much each L has
advanced from early SensoriMotor to Formal op. thinking. Their CASE intervention moves Ls
onward; and this then improves
their school science learning after that.
This also is in the form that some non-school practices have a sig.
effect on sci. learning.
Shayer did papers on surveying relevant ages (and genders) in school for
how advanced Ls were in this sense.
And it "predicts" exam results. It has a large gender effect. But the intervention works on a useful
subset of both genders (but not on everyone).
They used tests taken directly from Piaget books. 3 tests, one of which they call
"spatial", following Piaget's book title "The child's conception
of space", but it is actually about asking what level water adopts in a
tilted bottle.
They also reference papers on well know effects of spatial k. on ....
The
tests are taken from:
Piaget
and Inhelder (1952) The child's conception of space
and
described in:
Shayer,M., Küchemann,D.E. and Whylam,H. (1976) British Journal of
Educational Psychology vol.46 no.2 pp.164-173 "The distribution
of Piagetian stages of thinking in British middle and secondary school
children" doi:10.1111/j.2044-8279.1976.tb02308.x
The
survey results and sex differences are presented in:
Shayer,M.
& Whylam,H. (1978) "The distribution of Piagetian stages of thinking
in British middle and secondary school children. II - 14- to 16-year olds and
sex differentials" British Journal of Educational Psychology vol.48
no.1 pp.62-70 doi:10.1111/j.2044-8279.1978.tb02370.x
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