We understand that asking the right questions is
at least as important (arguably more so) than finding the right answers. What
problems are we trying to solve, and how should we go about framing a question
that is solvable? The way the questions are asked will guide the answers that we
accept and will tell us much about the assumptions that we make about higher
education. Many people agree that higher education needs to be fixed, but we
can’t agree on what it is that is broken.
In preparing for the retreat, invited
participants were asked to think about the following questions. One of our
stellar graduate students (Art Zavala and Kathy Hayes) phoned each participant
and tape-recorded their answers.
- What are the findings or theories from your area
of expertise that we could apply to higher education? (Feel free to define
your area of expertise any way you want. Some examples of what we are thinking
about include research on the transfer of training, understanding how people
work in groups, encouraging creative or analytic thinking, cultural or
motivational factors, learning with multimedia, and maintenance of attention.)
- What are the (most important) unsolved problems?
What should be included in an agenda for research?
- What prototypes can you point us toward where
principles from the science of learning are already being applied (e.g.,
activities, courses, fields of study, degree programs, or entire systems)?
- What are the major problems with or barriers to
redesigning higher education? Do you have any ideas for overcoming them?
- What additional questions should we be asking?
- What do we need to do so that one outcome of the
retreat is to effect change (in ways that we want)?
Here are summaries of the responses that they
provided and they questions they thought we should be asking. Additional
responses will be posted to this site as they become available.
Ralph
Wolff
Carol
Tomlinson-Keasey
Sharon
Riedel
Anne
Petersen
Kaiping
Peng
Vimla
L. Patel
John
Newman
Nora
Newcombe
Jose
Mestre
Richard
E. Mayer
Marsha
Lovett
Joel
R. Levin
Alan
M. Lesgold
Daniel
R. Ilgen
Earl
Hunt
Keith
J. Holyoak
Robert
Hoffman
Douglas
J. Hermann
Diane
F. Halpern
Milton
D. Hakel
Arthur
C. Graesser
Don
J. Foss
Alan
Feldman
Howard
T. Everson
Kevin
Dunbar
Frank
Dempster
Donald
F. Dansereau
Rodney
R. Cocking
Alberto
Cañas
Merry
Bullock
John
Bransford
Elizabeth
L. Bjork
Robert
A. Bjork
John
R. Anderson
Franca
Agnoli
Phillip
L. Ackerman
Ralph
Wolff
Area of Expertise
- Leading
assessment of student learning for all WASC accrediting
schools
- Action
Research or educational effectiveness
- Executive
director of an accreditation association
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
We do not
have a common definition of learning.
There are implicit definitions of learning.
Our definition of learning grows out of the industrial
model and the Newtonian physics model, in which learning is
about mastery of facts. I
have read research and I have found, consistent with what my
observations are, that we confuse learning with mastery of
fact. Faculty are
also divided about what learning is and about whether learning
can be measured or evaluated effectively. So it is necessary that we continue and enrich the
conversation about learning and that our discussions are
grounded on research. Students
should also not be left out of this.
We need to have faculty and students in learning
centered conversations and discuss what is learning and what
are the methods by which we acquire learning
The
change in the demography of American higher education has
forced us to really reassess what are the purposes and what
are the indicators of effectiveness in our institutions. Higher education is no longer a privilege; it is perceived to
be an absolute economic necessity by policy makers for
continued economic growth and by students and parents to be
the only ticket to success in the American culture.
As a consequence the role of higher education has taken
a huge significance and it has taken a vital role to the
future success of the American dream.
It has become an economic one, but nonetheless we now
have a diversification of the educational system (e.g.,
typical students work 20 hours a week, the average age of the
students in the CSU system is 28 instead of 21, typical
student can be married with children).
So we need new indicators of success and effectiveness.
The only ones we are relying upon now are through put
statistics—how many graduate in six years.
But we do not have good qualitative measures.
Most people would agree that the SAT and ACT are only
good predictors of the first year of success and are really
not intelligence tests, although they are viewed that way.
So we need indicators of academic quality because we
can no longer rely on the SAT and entry level statistics
(GPA). There is
an increasing need to know whether graduates will be able to
do or know
The second
point is that we are also at a critical time with the
information revolution and the explosion of what there is to
know and thus there is a desperate need to build connections
to redefine what learning is.
The model that most faculty were raised in, myself
included, is that there are a set of facts that need to be
mastered and each course is separate from one another.
What students need is a different model of learning and
knowing. A much
different model that is generative, contextual, that is
interrelated, and that truly understands the changing
character of knowing. The
foundations of every major discipline are rapidly changing,
although there are some basics that are constant.
Students need to be prepared for this change and this
notion of fact mastery has got to give way.
So we really need to rethink what learning and knowing
is and whether curricula are actually structured for student
learning.
We
are also trained to teach and to tell, but not to induce
learning. Faculty
were trained to profess, but not to think about learning.
Grant Wiggins tells this story that Michael Jordan
didn’t become a great basketball player because he scored an
A on it. Wiggins terms this feedback-based learning.
True learning or mastery occurs through constant
practices. A
pianist does not become a concert pianist or a person does not
get a black belt by reading about it, it is practiced and
there is ton of feedback that is provided to them.
We have a post-hoc assessment model of evaluating
learning and teaching, but not a feedback and
confidence-building model.
What
are the major problems with or barriers to redesigning higher
education? Do you have any ideas for overcoming them?
On major
barrier is that there is not agreement that higher education
needs to be redesigned. A
lot of people you have in higher education are quite satisfied
with it. We are
the victims of our own success.
We believe that we are the best system of higher
education in the world. We
are the richest, but I’m not sure we are the best anymore.
I have been in other countries and met with enough
other people to actually know that they don’t hold that
view. We have the richest system, which means that for
graduate study the Chinese and others want to send people here
because of our research facilities.
But at the undergraduate level that’s questionable.
Second, I
think there is a lack of a willingness to experiment,
particularly in the western part of the United States.
There is an established paradigm that the only knowing
is scientifically validated knowing. The only true work is that which is scientifically verifiable
and within that only research universities can produce good
science and that only quality comes from that or the elite
institutions. There is just such a higherarchy and little experimentation.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g.,
activities, courses, fields of study, degree programs, or
entire systems)?
There is a
tremendous amount of work in teaching writing and it reflects
feedback-based learning.
In music and in art it is more of a feedback-based
system, in which the criteria are as openly discussed as the
product. But traditionally universities as a whole do not adopt a
feedback-based learning system in terms of curriculum design
and evaluation. Sure
there are prototypes, there is Evergreen State and Fairhaven
College of Western Washington, so there are a lot of those who
take education in a more holistic way.
I just saw that Washington state is trying to develop a
whole community college based on integrative learning.
What additional questions
should we be asking and what do we need to do so that one
outcome of the retreat is to effect change (in ways that we
want)?
Why would
we even care about learning?
Do we care? And if we do, then are we satisfied that what we are doing is
sufficient. If
the answer is we don’t care or that it is not our job to
care and that the faculty are doing a good job and things are
working well, then I don’t think what we produce at this
meeting will create change.
So the real question is are we satisfied with the level
of learning? I
would have to say that I do not feel satisfied with the level
of learning or engagement, nor do I feel that faculty
consistently employ methodology in their relationships with
one another, let alone with the students, that are geared to
stimulate the kinds of student learning and mastery that we
are trying to accomplish in large enough numbers.
We do produce a lot of wonderful graduates, but there
are a lot of people who leave college feeling burnt out and
devastated. The
second issue is do we have a common basis to even talk about
what even learning is. Thirdly,
is there a protocol by which we can discuss and evaluate
whether learning is effective?
My biggest fear is that the only protocol we have is
the post-hoc model called the test.
Another issue is how do we make learning as interesting
as cancer research. I
think it is. How
do we enlist faculty to make learning as energizing,
interesting, and researchable rather then the byproduct of
professing?
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Carol Tomlinson-Keasey
Some
of the Challenges Facing Higher Education
- Increased
need for higher education.
More people are attending college than in the past.
In most of the 20th century people could
survive without a college education, but as we enter a new
century there is an increased need for people to attend
college.
- Changing
Demographics.
The increase in population combined with the first
point that more people will need to attend college only
exacerbates the problem.
- Increasing
Costs.
In California we have been lucky that our public
institutions have not faced the same increases as other
institutions across the nation.
Still approximately 15% of a family’s income goes
towards education for a child that is of college age,
whereas just a few years ago it was only 9%.
- Lifelong
Learners.
We need to be educating people much longer and
throughout their lives.
When
these factors are added together it becomes apparent that
higher education is not going to meet these challenges using
its current model. This
is where the use of technology and looking at different ways
to approach the problem become incredibly relevant.
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
-
On
an academic scale our institutions are divided into
departments and colleges that do not easily morph into new
departments or colleges to reflect the way that the fields
are growing. All
of the funding and resources go to the departments and
colleges not to the new interdisciplinary areas that
people are excited about.
-
We
need to know more about the way that students learn and
especially how they learn via the new technology.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g.,
activities, courses, fields of study, degree programs, or
entire systems)?
What
are the major problems with or barriers to redesigning higher
education?
- We
don’t change quickly.
- Our
institutions are designed to support a model that is time
and place bound.
Do
you have any ideas for overcoming them?
- I
think it was Sir John Daniel that said, “Technology is
the answer. What
is the question?”
- There
are many ways that technology will be helpful and that it
can be used to help us overcome some of the barriers that
we are not able to overcome as institutions.
- This
is not to oversimplify the problems and to say that
technology will be able to solve all of the problems, but
it will definitely be a solid tool with which to begin.
What
additional questions should we be asking?
- There
are many levels on which to address each of the questions
that have been asked.
- Each
question can be answered globally, for the U.S., for
California, or for individual campuses.
What
do we need to do so that one outcome of the retreat is to
effect change (in ways that we want)?
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Sharon
Riedel
(Back
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Anne
Petersen
What
are the findings or theories from your area of expertise that we
could apply to higher education?
I have done
research on cognitive functioning especially gender
differences in spatial ability. I have a couple of books
and probably a couple dozen research articles on the topic.
I've especially been interested in how biological and
social factors influence cognitive functioning over the first 25
years of life. This relates to higher education in
understanding different learning styles of men and women (among
other groups) in higher education. For example, there is
evidence that experiences such as through sports affect
cognitive performance and probably brain development.
From a totally different part of my professional experience
that in university administration, I've learned a
lot about what affects student learning. While at Penn
State University, I was a member of a group examining
undergraduate education what practices enhance learning
and what dampen it. For example, research demonstrates the
minimal effectiveness (in terms of retention of information) of
traditional lectures whereas more interactional teaching
approaches have better learning outcomes. Another
memorable finding in this review of the learning research was
that young women who drop out of science and technology majors
do not do so because they are doing poorly in classes; rather,
they drop out because they find the classes boring (repetitious,
requiring memorization and rote learning).
While at the National Science Foundation, we worked especially
on efforts to emphasize hands on learning of science and
technology at all educational levels. This approach
has been effective at engaging young people in the science and
math and motivating them to continue their studies in this area.
Higher Ed was the most difficult level at which to
implement change.
Currently, I chair a Board at the National Academy of Sciences
on Behavioral, Cognitive, and Sensory Sciences. One of our
committees examined the research on The Aging Mind (also the
title of the resulting volume). Among the fascinating
conclusions of this inquiry (whose focus was to propose a
research agenda for the National Institute of Aging in the area
of cognition) was the effectiveness of a compensatory strategy
to maintain performance competence. For example, people
could continue to perform cognitive tasks by using various ways
to enhance memory, or continuing physical performance by
reducing the number of things being done at once. Compensatory
strategies would seem useful to consider at various ages to deal
with weaknesses in skills. Similarly, a group examining
learning at the other end of life concluded that activity based
learning was much more likely to be retained.
Another inference arising from many professional experiences is
the high salience of interdisciplinary learning for application
in the real world. Higher education has yet to implement
interdisciplinary learning beyond various exploratory efforts;
most are not integrated into usual practice despite their
appeal to students and relevance for most kinds of work.
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
(1)
stereotyping of learners and its effects on
performance over the short and long terms
We know (from the research of Steele and others) that
stereotyping exists, and that it has powerful effects in the
near term. We don't know how pervasive these practices are, and
we don't know the long term effects.
(2) effective ways of changing teaching practice to
increase learning of students
We know about practices that increase learning. Achieving
effective implementation of these is less well known.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g., activities,
courses, fields of study, degree programs, or entire systems)?
Many prototypes
exist of most any important practice. Challenge is to get
these used more systematically.
What are
the major problems with or barriers to redesigning higher
education?
Entropy.
I suspect that change will require both top down and bottom up
approaches. It will require great patience and tremendous
persistence. Everyone needs to get on board with desired
change and persist until it is fully integrated into practice.
It may take a generation.
What
additional questions should we be asking?
I
would be interested in knowing what faculty feel about the need
to change. I know that most administrators have been there
for about a decade know. Initially many felt that the
challenge was a hopeless one. More recently, things appear
to be moving some.
What do
we need to do so that one outcome of the retreat is to effect
change (in ways that we want)?
Both university
leadership AND faculty need to want change and be supportive of
the use of more effective approaches.
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Kaiping
Peng
Area of Expertise
- Cultural
Psychologist.
- Culture
and Cognition
- Study
how culture-specific etiologies and theories and
representations affect
people’s thinking, reasoning, decision making, and
emotion
What are the findings or
theories from your area of expertise that we could apply to
higher education?
Culture matters.
There are cultural-specific etiologies and theories
that affect people’s behavior, including the behaviors of
learning something (as in an education setting). These issues have not been fully studied in the field of
psychology. Sometimes
they have been overlooked, not just internationally, but also
in the US. We all
know that many of the subjects in our studies, for many years,
have traditionally been white male sophomores.
We have not studied other ethnic groups to same extent,
and we have not explored fully the impact of socioeconomic,
racial, and other ethnic experiences and the ways in which
these experiences may affect learning and education.
A lot of what we study in
cultural psychology primarily focuses on definitions of
culture and the formulation of cultural-specific theories., We
have some of understanding of these issues, but we have not
applied our understanding of cultural effects to higher
education. We should be able to design better ways of teaching
based on our knowledge of cultural influences on how people
learn.
What are the (most
important) unsolved problems? What should be included in an
agenda for research?
Two kinds of problems:
1)
The problem of the independent variable.
What is culture? Is it a purely cognitive, affective, or behavior?
We do not know much about culture from a psychological
perspective, even though we talk about it all the time.
So the issue of what is culture is still not well
understood.
2)
There are issues of the dependent variable as well.
How broad are the cultural effects?
How psychologically deep (in terms of mechanisms or
processes) are these effects?
We also talk a lot about multiculturalism, but mostly
from a political perspective instead of a psychological one.
We need to focus more on what are the cognitive
benefits of multiculturalism.
What prototypes can you
point us toward where principles from the science of learning
are already being applied?
We
know that there are differences in school performance by
students from different ethnic groups. One example we all know is that Asian students perform better
on math tests than any other ethnic group.
There are a lot of theories about why they do so well
in math. One
possibility that has not been talked about much is that math
is taught differently in Asian countries, which may be key to
their success. Professor
Howard Stevens at the University of Michigan provided one
example of how teaching styles may affect performance. Dr.
Stevens looked at an inner city school in Chicago with a
predominantly Black student population. He found that the
school did very well in a standard math test.
He was very surprised to learn that the principal and
the school in general emphasized what they called an “Asian
way of teaching math.”
So what is the Asian way of teaching math?
One important component is that whenever you teach
something, you do it in groups. New information is never
taught solely with student-teacher interactions. An important part of the “Asian model” is an emphasis on
students learning from each other.
So they have a lot of group activities, and the
activities are not simply presenting the answer as a group,
but rather have the groups solve specific problems together.
Also, when they solve the problems they do them in
public. That is,
they ask kids to solve the problem in front of the whole
class, which can be very intimidating and humiliating, because
if you do not know how to do it everyone will know.
No American school or public school teacher would do
this in the US because they believe that it would hurt the
child’s self esteem. However,
in Asian societies, teaching is always done this way. The
public group method is based on the theory or folk belief that
if you get learners excited or aroused, even by some
humiliation, then they will be motivated to try and do their
best. And even if
learners don’t solve the problem, they remember the solution
to the unsolved problem for quite sometime because they were
aroused. When
they applied the Asian way of teaching in that inner city
Black school, the kids did very well.
What I’m saying is that there are different practices
from the ones we use in the US that might be helpful. We can
look to other countries and other ethnic groups to understand
alternative practices that we could be using.
What are the major
problems with or barriers to redesigning higher education? Do
you have any ideas for overcoming them?
Different
beliefs about education may be a problem.
People in the US have their own folk beliefs about
education and about the intellectual development, which I
sometimes call the Socrates view.
The nature of the Socrates view about intellectual
development can be categorized in this way:
1)
We emphasize questioning. That is, you have to question what people tell you.
2)
We also emphasize evaluation.
That is, that you have to evaluate judgments about
other peoples stories, theories, and results.
3)
We also emphasize self-generated knowledge.
4)
We believe that there is a single truth
These
are ideas that are promoted and emphasized in the US.
These ideas are not bad, but they are cultural-specific
because people in other cultures do not share them.
Asians views about education are more influenced by Confucius,
which emphasize:
1)
Effort—effort for learning--you have to spend some
time to learn something
2)
Respect—everybody has some knowledge that you don’t
know.
3)
Dialectical—thinking from two different perspectives,
contemplating the contradictions.
For Westerners, the contradictions are error or
mistake. For Asians, much of the intellectual and human life is about
contradicting statements and they do not seem to feel the need
to resolve contradictions
So
I think those are the cultural specific views about
intellectual development and cultural specific views about
education. I
think that the barriers to redesigning higher education are,
in fact, cultural biases and cultural different beliefs.
What do we need to do so
that one outcome of the retreat is to effect change (in ways
that we want)?
Reach
out to the general public by way of the media.
Inform them of our goals, and then present them with
the major findings of the retreat.
Publish articles that summarize the findings as well
(Back
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Vimla
L. Patel
(Back
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John
Newman
(Back
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Nora
Newcombe
Area
of Expertise
Development of
spatial skills in children and adults, and how to facilitate
skill development. Sex differences and other individual
differences in higher level cognitive skills.
Teaching cognitive science theories to educators.
What
are the findings or theories from your area of expertise that we
could apply to higher education?
Major concern
is that there is a body of knowledge on such topics as
analogical transfer, reading, and other issues concerning how
people learn, that needs to be communicated to prospective
teachers. Education majors need to have courses in cognitive
science in the same way that engineering majors need physics and
premed majors need biology.
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
The major
unsolved problem is a political one.
There is a real need to convince colleges of education
and also school districts that the knowledge provided by
cognitive science is important for educators to have and to
continually be trained in. How do we sell the achievements of cognitive science to those
that could benefit from it, namely educators?
In looking at
an agenda for research, we would want to look at the leverage
points for achieving the transfer and wide scale acceptance of
knowledge about cognitive science to educators.
There is a need to fund demonstration projects that can
exploit these leverage points and to evaluate their
effectiveness. It
should be a funding priority to have people explore technology
transfer in cognitive science.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g., activities,
courses, fields of study, degree programs, or entire systems)?
John Bransford
and Marilyn Adams are good examples of people that have worked
very effectively in developing cognitive science applications
and actively interfacing with school districts.
However, the work that they are doing is specific to
types of problems and to age groups.
So I would say that there are not any prototypes for the
broad intertwining of cognitive science with colleges of
education and schools in the way that I am suggesting.
What are
the major problems with or barriers to redesigning higher
education?
There are
institutional barriers that are created by the current
structuring of academic departments.
Colleges of education do not traditionally employ
cognitive scientists. The
people who would need to teach the courses that I am envisioning
would need to come from different departments and this creates
turf issues
Do you
have any ideas for overcoming them?
Nothing is as
powerful in overcoming barriers as financial incentives.
That is why there is a real need for funding
demonstration projects that can illustrate the effectiveness of
this type of training. Financial
incentives to get colleges of education to work with cognitive
psychology departments would be very helpful.
What do
we need to do so that one outcome of the retreat is to effect
change (in ways that we want)?
It is typically
the case that people will have personally rewarding and
illuminating experiences at the conference or retreat and come
up with interesting recommendations. However, as the outcomes
are turned into a report written to the funding agency there is
often no further monitoring or follow up.
I think that it is important to see what could be done
with Spencer Foundation and other funding agencies in terms of
further monitoring and exchange after the writing of the report.
It would be helpful
to set up a format in which there was a meeting with Diane and
others along with the funding agencies to create an exchange
about the ideas that were generated.
The follow up with funding agencies is key and it would
be very beneficial to continue to develop funding contacts with
other agencies so that the ideas generated by the retreat could
be pursued.
(Back
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Jose
Mestre
Area
of Expertise
*
Learning in the sciences (particularly physics)
*
Study the following:
o
Problem solving
o
How to develop expertise
o
How do people organize knowledge in memory so that
it is useful for retrieval and solving problems
*
How to apply research in the above areas to teach better,
or more efficiently, or teach in ways that makes students learn
the material at a deeper level
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
1)
Lecturing to
students in large classroom settings is not the most effective
method of instruction. Findings
that come from studies about how people learn indicate that
whenever students are actively engaged in their learning, they
learn better and faster. So,
we need to find better ways of getting students to learn
material than just lecturing in large classroom settings:
--
In a small class you can address students' needs more
effectively
--
In large classes (50+ more students), which are typical
of many introductory classes (in science in particular),
lecturing is not effective.
Other methods should be employed
Classroom Communications Systems.
It is a version of the audience-polling device of “Who
Wants to be a Millionaire.”
Students are given questions to work on in groups and
then submit answers that get displayed onto a histogram.
The instructor then uses the histogram to direct the
direction of the discussion in the class.
The instructor is viewed more as a learning coach rather
than a repeater of what is in the textbook.
It has its benefits in the sense that the instructor can
shape the instruction to meet the needs of the students…if
students get it, then the instructor can move on, and if they
don't then he/she needs to back track and figure out what is
wrong and deal with it. Students
seem to like it and they seem to get more engaged.
2)
Implementation—How
do you get instructional techniques and implications of research
into practice? Getting
a charismatic instructor is not the answer.
Charisma only goes so far; research evidence in the
sciences suggests that students learn about the same amount
regardless of who teaches them.
How do you take things that work and scale them up so
that other instructors are willing to adopt them—that’s a
big problem.
Two
problems to implementation:
--
To teach at the university level, you never have to take
a course on teaching, pedagogy, or cognition (the only exception
may be school of education professors).
You become a teacher by getting a Ph.D. in some subject
and it is assumed that content expertise is the only thing
needed to teach that subject, and nowhere in between are you
taught about instruction. In
general, you are never taught about how to apply findings from
research and learning to instruction in your discipline.
We are essentially reproducing a failed system of
instruction, and not because we don’t turn out good Ph.D.s,
but we because we fail at teaching the general mass of students.
--
People who have been teaching for a number of years think
that they “have it down,” and feel that if they say it in
the right way or make lectures a little more clear then students
should “get it,” when, in fact, the issue is students have
to be engaged in learning.
Lecturing is really a boring way to go for students.
Telling
people what to do to improve their teaching does not really
help, even if they are willing to change.
You may have to have an apprenticeship model where
teachers observe or co-teach a subject or class with somebody
else. Teachers might be able to adopt a new technique so that it
meets their style and their students' needs with this learning
model.
So,
how do you train perspective Ph.D.s in all fields so that they
know something about teaching and learning, and how do you get
at the people who are teaching already to adopt new styles?
These are big challenges.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g., activities,
courses, fields of study, degree programs, or entire systems)?
1)
Books: How
People Learn—has a number of chapters on teaching math,
science, and history.
2)
Physics education research is becoming more accepted in
physics departments. In
our department and 10-12 other research departments around the
nation, there are physics education research groups with
doctoral students who do their dissertation on some aspect of
physics education research.
So you have some degree programs that are geared to help
people with both the content and the teaching and learning of
that content.
What
are the major problems with or barriers to redesigning higher
education? Do you have any ideas for overcoming them?
1)
Higher education has been very compartmentalized into
departments, groups, and schools.
And often times, those groups look down their noses at
the other groups. For
example, it is typical for scientists to look down their noses
at schools of education. We
need to break down barriers to solve the complex problems of
education.
--
One example where barriers need to be broken is in the
training of teachers. Every
science department plays some role in the training of
prospective teachers (at the high school level).
So, if you are majoring in biology and you want to become
a biology teacher, you take several biology classes.
But, biologists teach those courses.
You would have to go to the school of education to get
the pedagogical methods course.
However, based on what we know from the NRC's How
People Learn report, the pedagogy and the content need to be
taught together to develop "pedagogical content
knowledge". Put
a different way, just because I can teach physics well does not
mean I could teach biology well.
So,
although it is unlikely, there needs to be cross-disciplinary
work
2)
Telling people that they are doing something wrong is
really not going to work.
--
One way the physics community was able to get faculty
interested in finding effective ways of teaching large lecture
courses was by developing a conceptual test in physics and
encouraging faculty to administer it at the end of their
courses. After
students scored very poorly on the test, a test that most
physics instructors considered "trivial" and thereby
thought that their students would perform very well in it, the
professors started to question what they were actually
accomplishing by teaching in large lectures courses with the
lecture method. What
was clear was that students were able to solve
"standard" problems, but they did not really
understand the concepts. This
opened up dialogue across many departments and faculty began to
ask “How do I go about teaching in different ways.”
--
Once you have the attention of the faculty, it is
important that they are given enough support, so that they are
able to implement new techniques.
What
additional questions should we be asking?
What
are the goals and what are we (at this conference) trying to
accomplish, and are they modest enough so that you can make some
headway? Trying to
reform higher education is a big job.
What
do we need to do so that one outcome of the retreat is to effect
change (in ways that we want)?
Need
administrators to be involved, either at the conference or at
some point.
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Richard
E. Mayer
Area
of Expertise
Cognitive Psychologist,
Cognition and Instruction
What
are the findings or theories from your area of expertise that
we could apply to higher education?
At the most general level I
would say that we need a theory of learning, an understanding
of how people learn if we want to design instruction that will
help people learn. We
need findings and theories that tell us how people learn.
Essentially what we need is an educationally relevant
theory of learning.
What
are the (most important) unsolved problems? What should be
included in an agenda for research?
There are very few solved
problems, which leaves just about everything else as an
unsolved problem. The
question that I am most interested in is how can you teach in
ways that promote transfer.
What kinds of learning experiences allow people to take
what they have learned and apply it in situations? Transfer is
a classic issue in psychology and in education, but I think
that it is really the fundamental unsolved problem.
We really want to know how to teach for transfer.
I think that we know how to teach facts and procedures,
what we don’t know is how to teach higher-level concepts and
strategies.
An agenda for research needs to
include an educationally relevant theory of learning.
What prototypes can you
point us toward where principles from the science of learning
are already being applied?
We
can all point to our own work.
At this point in our research in learning we have
decided that it does not make sense to have a general theory
of learning and what we have are much more domain-specific
models of learning. The
theories that we are going to develop are going to have to be
domain specific to a certain extent.
What are the major
problems with or barriers to redesigning higher education?
One
of the barriers is that we don’t have a good concept of what
“good instruction” is and we don’t have good theories of
what “good instruction” is.
Another
barrier involves the use of technology in education. I have
been interested in educational technology.
I think that sometimes people confuse media and method.
This is kind of a traditional issue in instructional
technology. At
the level of higher education people sometimes think that
innovation means using technology.
We know from many, many years of research on
educational technology that technology does not create
learning; it is instructional methods that cause learning.
Just inserting technology into higher education is not
really a viable solution.
We need to find the instructional methods that help
people learn and then see how technology can be used to serve
that purpose. Many
people take a technology-centered approach rather than a
learning-centered approach.
Do you have any
ideas for overcoming them?
To
overcome these barriers we need more research.
Research on what constitutes “good instruction” and
research on how to use technology to improve learning.
What do we need to do so
that one outcome of the retreat is to effect change (in ways
that we want)?
Until
we know what constitutes “good teaching” I am not sure
that we are ready for change.
I am interested in what do we know about how people
learn that would let us know what the change should be.
Do we have a theory of learning that is relevant and
what are its implications?
I get nervous about people talking about change before
we have really looked at what should be changed.
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Marsha
Lovett
Area
of Expertise
Cognitive
Psychology; acquisition and transfer of problem solving skills
What
are the findings or theories from your area of expertise that
we could apply to higher education?
There
are two empirical studies that I point to whose results can be
used to improve instruction. In particular, these exemplify
some of the simple things that can be done to enhance transfer
and generalization of knowledge.
The first is by Cummins (1992: JEP:LMC)
in the domain of algebra.
She found that when subjects were given simple
instructions to compare and contrast analogous problems, they
were much more likely to induce a generalized problem schema
(& transfer the problem solving skills).
This finding helps to illustrate that some of the
things we can do are very simple: participants benefited from
the comparison task without even solving.
It is often just a matter of asking questions in a way
that prompts students to provide their own self-explanation or
will allow some other processing that will allow students to
generalize their results (see recent work by Chi that extends
her work on the self-explanation effect).
The
second study is by Catrambone (1998: JEP:G; 1996: JEP:LMC;
1994: Mem&Cog) regarding procedural skills and schemas.
He was able to demonstrate that if you highlight the
structure of problem solving steps in examples presented to
subjects, the subjects are more likely to generalize the
procedure to other problems. He found that this was even effective when subgoals were
highlighted by being formatted into groups with arbitrary
labels. His
explanation for this was that highlighting the steps to
students helps to lead to self-explanation.
Another
important contribution to this is Singly and Anderson’s
theory of transfer of skill (Singley & Anderson, 1989).
What
are the (most important) unsolved problems?
The
first one involves the research on epistemology and
students’ beliefs about learning.
There has been a considerable amount of work
classifying students’ beliefs about knowledge or describing
the impact of metacognitive beliefs on learning.
Much less work has been done on understanding how students change their views on learning.
Often this change has been thought to occur naturally
as a result of maturation, but an unanswer question is: can we
create interventions that will help to effect this change.
For
example, students’ typical belief that learning is quick and
problem solving is immediate is an obstacle to their learning:
they think that if they can’t do something right away it
can’t be done. The belief that authority on knowledge comes
from “the teacher” or is “in the book” can also impede
deeper learning. Again,
the unsolved problem is: How can we help to change these
beliefs?
The
second issue involves the link between motivation and
cognition. People
tend to study either cognitive issues or motivational issues;
an important problem is understanding (and dealin with) the
interactive link between the two.
A
final issue is how students should be scaffolded in their
instruction (both computer-aided and other forms of
instruction) and how and when this scaffolding should be
removed. There is empirical work on this topic but not much
theoretical development in this area. I believe that framing
the empirical results in a theoretical structure (and
extending them) would help to guide instructors in how to
apply these results in new situations.
What
should be included in an agenda for research?
In
developmental psychology, we have gone from emphasizing the
description of developmental states to actually describing the
changes between states and the mechanisms for accomplishing such
changes. In a
similar way we could have people trying to understand the
changes that occur in students’ epistemology (see first
unsolved problem above), not just describing a student’s
state of mind but describing the change process.
Additionally, it is important to get people
collaborating on different pieces of learning from a variety
of perspectives, ranging from the cognitive to the
motivational.
What
prototypes can you point us toward where principles from the
science of learning are already being applied (e.g.,
activities, courses, fields of study, degree programs, or
entire systems)?
We
are in the process of refining instructional design in an
introductory statistics class at Carnegie Mellon. At each step
of the redesign, we try to bring more of the principles of
cognitive psychology and learning research into practice (cf.
Lovett & Genovese, 1999 from The American Statistician;
Lovett, in press: A collaborative convergence on studying
reasoning processes: A case study in statistics. To appear in
S. Carver & D. Klahr Cognition and Instruction: 25 Years of Progress. Mahway, NJ: Erlbaum).
We put theory into practice when we select the
materials for the course and design activities that engage
students in learning. The
last step of the process will be to incorporate a cognitive
tutor to help students solve statistical problems based on
their own level of understanding.
This work is based on cognitive tutors that have been
very successful at the high school level in algebra and
geometry classes. The
work of Ann Brown (Communities of Learning, I believe a
relevant ref is from 1992 Journal of the Learning Sciences) is
also a good example of interdisciplinary and collaborative
work.
What
are the major problems with or barriers to redesigning higher
education?
Everyone
is inventing their own wheel for solving instructional
problems. People
are not building enough on the work that has already been done
and they fail to fully explore what is already out there, both
in terms of what works and what does not work.
One part of this problem is that the information is not
readily available or easily accessible.
The other piece of the problem is more of a cultural
impediment in that people get invested in “name brand
work.” This produces resistance for people to build on other
people’s work.
Do
you have any ideas for overcoming them?
The
lack of information problem could be addressed with searchable
databases or archives that could provide a place to reference
work that is being done in applying cognitive and learning
principles to higher education, and
to document what works in different areas and what does
not.
What
do we need to do so that one outcome of the retreat is to
effect change (in ways that we want)?
After
looking at some of the different perspectives on the most
important problems, it would be helpful to find the
commonalities in these problems and then to set out to have
people attack these problems using shared resources.
One success would be to get people communicating and
looking for ways to get people together for longer-term
collaborative projects. Herb
Simon gave a speech at Carnegie Mellon on instruction and
learning with a title something like, “Why isn’t teaching
a team sport?” This
title gets at the cultural issue of the solo aspect to
instruction and instructional design.
The statistics project we are working on is a very
collaborative effort, with cognitive psychologists,
instructional designers, statisticians, and software designers
all working together to tackle this large problem. This requires extra effort (from developing a common language
for communicating to figuring out how to meet with 5 other
busy researchers for whom this is not a major project), but it
would be great to get people to work on and maintain long-term
collaborations.
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Joel R. Levin
-
Interested in improving the
quality of evidence and the credibility of claims in
educational research.
-
Focusing on the quality of
research in education and psychology, especially, as it
applies to policy
implications.
Suggestions
for Improving the Quality of Educational Research
The first suggestion
would be to improve the design of educational research and to
move toward more scientifically based models.
It is important that we are not faddish in research
questions and that we do not simply jump from one hot topic to
another. There is a need to employ more systematic long-term research
methodology. We
need to be scientific in our method of inquiry—begin with a
research hypothesis, test the hypothesis in small laboratory
settings, and then move on to large scale, but very controlled
settings (as in medicine, for example). We also, must not rely merely on demonstrations and
uncontrolled studies, but instead, we should be guided by an approach where we would use multi-site testing in our
research and use analyses that match the design of our
research.
It is important that we begin
to get away from testimony and opinion in education.
Too many programs are put into place for political
reasons and subjective opinions.
New ideas hit the press and school districts implement
these programs without really evaluating the effectiveness of
these programs.
We need teams of people working
together—interdisciplinary teams of people with strong
scientific research backgrounds, along with people who are
good in applied settings and in implementing programs.
We need to entice people who know how to do
scientifically sound research to work on field research and
program evaluation, and we need to get the funding to do
applied research. To
answer questions about the effectiveness and outcomes of
teaching strategies in large-scale classroom settings, as
opposed to controlled laboratory studies of individual
learners or short-term implementations of programs, there
needs to be much bigger and better controlled studies than
have previously been done.
There is a need for classroom-trials studies (Levin
& O’Donnell, 1999), research in classrooms that is
modeled after clinical- trials research.
Additional Questions
-
What do we need to do to get
people who are in positions to evaluate the evidence
(funding agencies, policy makers, implementers of special
programs) to be able to discriminate between differences
in the quality of evidence?
How do we build the understanding in people that
not all evidence is equally credible?
-
How do you get both the people
who evaluate programs and people outside of the education
arenas who are not necessarily educated in scientific
thinking to change the way that they think?
Programs for Students Who
are Academically at Risk
- Are there programs that can be
used to help these students succeed?
- Should we expect different
educational outcomes for different students?
- How do we address these
concerns, and how do help such students succeed?
- We know that with adequate
resources and proper motivation and interest from faculty
at-risk students will do better.
- What are the critical
components of successful retention programs for at-risk
students?
Thoughts on Students’
Thinking and Learning
- What is the relationship
between memory and critical thinking?
- Must information be memorized
and readily accessible before it can be used in the service of
thinking critically?
- If so, would it be beneficial
to help students learn underlying factual information in a
shorter amount of time, so that they could spend more time on
higher-level tasks?
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Alan M. Lesgold
What are the findings or
theories from your area of expertise that we could apply to
higher education?
Most
of my work is in the area of developing technology so that
students can “learn by doing.”
As more opportunities for computer simulations and
instructional design become available, we can provide more
instruction that involves “learning by doing” as opposed
to the traditional model of “learning by telling.”
There are many areas where in the past we were only
able to provide instruction through lecture or by having
students memorize materials.
In the past, when it was important, we would use
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