Step Three—Developing Your Plan
Focus on questions that faculty really care about
If you have allowed for plenty of discussion and reflection in Steps
One and Two, genuine questions about what your students are actually
learning have probably surfaced. Those are the questions you should
focus your assessment work on. Do not allow yourselves to be pulled off
these questions by externally imposed ideas of what you should be
assessing, or by a mechanistic impulse to assess each of your
objectives in turn.
You may come up with more than one major question for assessment. If
so, we strongly suggest that you consider investigating these questions
one at a time. Taking two years to answer one important question
well—with the first year devoted to data collection and the second to
analysis and any needed curricular redesign—is preferable to collecting
piles of data in one year, being overwhelmed with a huge data entry and
analysis task that no one has time to do, and becoming discouraged
about sustaining your assessment efforts. Sound familiar?
If you are able to, write a five-year plan. Your plan will probably
change over a five-year period, but five years is a good period of time
to plan for.
Include some analysis of actual student work samples
The basic question that we are held accountable to in assessment of
student learning is: Did our students learn what we said they would
learn in our program? The surest way to answer this question is to look
at what your students actually do—that is, to look at actual samples of
student work. No program assessment plan is complete without this.
Fortunately, it is something that can be done in any program.
Do you claim that your students learn how to write? How to sing opera?
How to teach elementary school children? Then papers, concerts, or
teaching are the student work samples you will want to assess. You are
assessing this student work already when you grade. Often, all you need
to do for program assessment is to create a system for scoring that
same work on program objectives of interest, in a way that is
intelligible to other people.
Using student work samples for assessment often means developing a
scoring rubric. This raises the specter of scoring for ineffable
qualities—a project that seems disrespectful, reductionist, and
oxymoronic to some of us. On the surface, scoring for ineffables
shouldn’t feel like a problem to us—we do it all the time when we
grade. This objection, however, hides a more fundamental objection,
which is that we resent the dictate to translate our professional
judgments to external audiences. As we mature in our professions and
disciplines, we develop a sense of what constitutes excellence. We
share that sense with colleagues in our field, and it is part of our
identities to be within disciplinary communities of understanding about
what constitutes high quality work. Being required to do assessment
means being required to translate our processes of judgment and show
them to others. Unless we are genuinely focused on questions that we
ourselves actually want to know the answers to, this feels invasive and
insulting to our shared departmental or programmatic sense of
professional expertise. If we are really finding useful answers to
interesting questions, however, then these issues regarding
accountability are a sideline.
In any case, an assessment plan that does not include any direct
examination of student work samples cannot make a prima facie argument
that our students can do what we claim we teach them to do.
Fit the time and resources available to you
There is little point in writing an assessment plan that you cannot
accomplish. Focus on one question at a time, and give yourself time to
design your assessment, collect your data, analyze your data, discuss
the results, and design and implement any curricular changes that you
agree on. It can easily take two years to complete one such project,
given the constraints that we all face on our time. It is far better to
see one project through to actual programmatic change than it is to
collect a lot of data that no one knows what to do with or has the time
to do anything with. As you draft your five-year plan, consider
questions such as the following.
- Who will collect the data?
- How long will data collection take?
- Who will do the analysis?
- How long will the data analysis take?
- When will the faculty discuss the results?
- Who will redesign the curriculum if needed?
- When and how long will this curricular redesign take?
The Hypothetical Studies Department, for instance, requires its majors
to take a two-term, 300-level course sequence. Both courses in this
sequence are designed to be writing intensive. Faculty who teach the
400-level theory course, however, are not satisfied with the quality of
student writing they are seeing, and suspect that the 300-level courses
are not preparing the students well. A review of available records
show, however, that the 300-level courses are bottlenecks and that
about half of the department’s majors take the 400-level course first.
Do students who take the 300-level course sequence first write better
in the 400-level course? Do they do better in other ways? In their most
recent five-year assessment plan, this is the first student learning
issue that the Hypothetical Studies Department will investigate. They
are planning to base their assessment on examination of student writing
samples from the 400-level course. They will design their assessment in
spring term of Year 1, collect data from both of the 400-level course
sections offered during Year 2, analyze that data during fall and
winter of Year 3, and spend spring of Year 3 on any needed course
redesign. That may seem like a long time to invest in answering one
question. But it’s an issue they really care about, it’s a pace of work
they can really manage, and they will end up with good, solid evidence
of what their students can do.
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