Directly You'll Be Directed in the Right Direction:
Using Student Learning Objectives in Mathematics

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by
Matthew DeLong, Taylor University
and
Dale Winter, University of Michigan
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One day Alice came to a fork in the road and saw a Cheshire cat in a
tree.
"Which road do I take?" she asked.
His response was a question: "Where do you want to go?"
"I don't know," Alice answered.
"Then," said the cat, "it doesn't matter."
- Lewis Carroll, in "Alice in Wonderland."
Alice is a girl with a serious problem. She knows what she
has to do (choose a path to continue her journey) but she doesn't know
how to recognize her destination when (and if) she gets there.
Like Alice, college mathematics instructors choose paths of instruction
when they plan their lessons - choices intended to help their students
learn and understand mathematical ideas. Although many
instructors face their classes with beautifully clear mathematical
expositions, they (also like Alice) often do not have equally clear
ideas for what the resulting mathematical understanding will look like
when (and if) their students attain it.
Although conscientious instructors know that effective teaching is
the result of careful preparation, planning is often more focused on
the content to be covered than on the outcomes of instruction. By
contrast, explicit student-learning objectives, used to guide lesson
planning, implementation, and assessment, can provide instructors with
clear guides to instruction and learning, and standards with which to
measure students' progress.
Unlike most professors, K-12 teachers are almost universally
trained in the use of systematic planning methods based on the
formulation and use of explicit learning objectives. Many of
these methods have their origins in the work of Tyler [
6].
More recently lesson planning methods for college teaching have also
appeared that incorporate the formulation of student learning
objectives as an integral part of the process [
1].
Furthermore, the current emphasis on continuous quality improvement
included in many models for assessment pushes towards the use of
objectives.
While the phrase "student-learning objective" is used differently
by various authors, we will employ the specific definition given in our
recent article [
2] and following Farrell and Farmer [
4, p. 196]. To do so we first differentiate
between goals and objectives. Goals are large-scale, overarching
ends of a process of instruction and learning. Objectives are the
discrete educational steps that learners take in pursuit of educational
goals. Objectives are much more specific, concrete, limited and
connected with specific areas of subject matter than are goals.
Student-learning objectives (SLOs) [
2] consist of
three components:
1. A description
of the observable student behavior
that will result from instruction.
2. A
characterization, description or definition of the conditions under
which students will exhibit this behavior.
3. A
characterization, description or definition of the performance
standards that will be judged
to represent success for the student.
The following are some examples
of SLOs.
* Given a
data set and some clues as to which quantity is the input and which is
the output [condition], students are able to draw a set of axes
[behavior] that will comfortably accommodate all of the data points
[standard].
* Given a
quadratic inequality [condition], students are able to use a graph,
algebra and the quadratic formula [behavior] accurately to solve the
inequality (or to determine that the inequality has no solutions)
[standard].
* Given
the equation of a vector field and a list of possible graphs for the
vector field [condition], the students should be able to correctly
[standard] identify which graph is produced by that equation
[behavior].
SLOs are formulated during the planning phase of
instruction. SLOs can be developed from existing descriptions of
the mathematical content of the course, or directly from an
instructor's content knowledge [
3]. Once
developed, SLOs can be used to guide lesson planning [
1].
We strongly advocate that instructors communicate their SLOs to the
students, either before or after instruction. Finally, SLOs can
be used to guide the development of assessments and evaluations.
In our article [
2], we provide a lengthy list of
potential benefits to students, instructors, and departments from the
formulation and use of explicit SLOs. A brief sample of some of
these potential benefits includes the following.
Writing SLOs...
· provides a
definitive set of standards for relevance and appropriateness that the
instructor can use as a guide for selecting learning activities,
assignments, and assessments.
· can give a much
more realistic impression of how much material can be covered.
· helps to
determine which learning outcomes will be the most vigorously pursued
in the course.
· can (when
communicated to the students prior to assessments) help students get
more out of their preparation for quizzes, tests and examinations.
· may help the
students to take more responsibility for their own learning.
· can help
students to judge the effectiveness and relevance of their own learning
and study habits and activities.
We have used SLOs in undergraduate courses ranging from College
Algebra through PDEs. We have used them in courses taught
individually and in large, multi-section courses. The following
shows some sample comments from end-of-semester evaluations in courses
we have designed and taught using SLOs.
· I felt the
harder I worked, the more my grade would reflect the effort.
· The tests are
fair and actually reflect what we were supposed to learn, a first in my
experience at [Prestigious University].
· You are by far
the most organized and goal oriented professor I know
· Instead of
memorizing formulas I have actually learned concepts and gained an
understanding of math.
· The amount of
thinking is immeasurable and once I stopped being scared, I developed a
clear/concise way of approaching problems
The use of SLOs can have a particularly positive impact on
under-prepared and math-anxious students. For these students, a
required mathematics class can be a risky and intimidating obstacle
that stands between them and their goal. Perhaps based on
previous experiences [
5], these students can believe
that success or failure in a mathematics course is due to factors
beyond their control [
7]. The logical conclusion
for the students is that they can do nothing to prevent failure.
Formulation of SLOs, communication of SLOs to the students, and the use
of SLOs as a basis for creating assessments can help this
situation. By basing the course on explicit SLOs, instructors
provide students with a concrete way to take responsibility for their
own learning. SLOs represent a path to success that consists of
steps that are each sufficiently explicit and self-contained that they
are not intimidating. Students can perceive success in the course
as the result of something they can control-the amount of time and
effort that they devote to accomplishing the SLOs. The first two
student comments (above) seem to echo this sentiment.
Although SLOs provide many benefits, some instructors may be
resistant to using them. One obvious potential downside is the
additional planning time that it takes to put them together. In
spite of the fact that writing SLOs for a lesson adds a step to the
lesson planning process, this step can pay off in future time
saved. The clarity that SLOs add to the planning process can
streamline lesson preparation. In addition, writing assessments
becomes much more straightforward with SLOs as a guide. The
timesavings from these and other benefits can offset the time spent
developing the SLOs. Moreover, further timesavings can accrue
when SLOs are reused in future iterations of a course, as the SLOs
themselves need not be redeveloped each time.
The most persistent challenge to using SLOs from some instructors
may stem from a fear of "dumbing down" a course. We hope that the
last two student comments quoted above help to allay this
concern. We believe that rather than dumbing down a course, SLOs
can actually help "dumb it up." That is, SLOs can enable
instructors and students alike to focus on the intended outcomes
of instruction. Doing so can reduce fear and guesswork, and
ultimately free students to think, learn, and understand.
Please see our articles for more information on the advantages of
SLOs [
2], the development of SLOs [
3],
and the use of SLOs in lesson planning [
1].
References
1.. DeLong, M., and
D. Winter. 2001. An Objective Approach to Student-Centered
Instruction. PRIMUS, XI(1): 27-52.
2. DeLong, M., D.
Winter and C. Yackel. 2005. Student Learning Objectives and
Mathematics Teaching. PRIMUS. To appear.
3. DeLong, M., D.
Winter and C. Yackel. 2005. Mental Maps and Learning Objectives: The FAST-SLO Algorithm for Creating Student-
Learning
Objectives. PRIMUS. To appear.
4. Farrell, M. A.
and W. A. Farmer. 1988.Secondary Mathematics
Instruction: An Integrated Approach. Providence, RI:
Janson.
5. Jackson, C. D.
and R. J. Leffingwell. 1999. The Role of Instructors in
Creating Math Anxiety in Students from Kindergarten through
College. Mathematics Teacher, 92(7): 583-586.
6. Tyler, R.W.
1949. Basic Principles of Curriculum and Instruction.
Chicago, IL: University of Chicago Press.
7. Weiner, B.
1985. An attribution theory of achievement motivation and
emotion. Psychological Review, 92(6): 548-573.
Matthew DeLong (mtdelong@tayloru.edu,
Department of Mathematics, Taylor University, 236 W. Reade Avenue,
Upland, IN 46989)
is an associate professor of mathematics at Taylor University. In
addition to thinking about teaching and mathematics, Matt thoroughly
enjoys spending time with his wife, son and daughter, directing his
church choir, and acting in community theater productions. Soli
Deo Gloria. Dale Winter (amanitav@umich.edu,
Department of Mathematics, University of Michigan, Ann Arbor, MI 48109)
is an assistant professor at the University of Michigan where he helps
to direct the introductory program. He has also taught at Harvard
University, Duke University, Bowling Green State University and the
University of Auckland. His dissertation focused on mathematical
methods in general relativity and cosmology. In addition to his
professional interests in mathematics and education, he enjoys the
novels of Primo Levi, military history, marine
biology and evolutionary psychology.
The Innovative
Teaching Exchange is edited by Bonnie
Gold.