Now that the semester is over, I’ve been catching up on some
of my reading. Today’s blog is on the dreaded Teaching Evaluations filled out
by students usually in the last week of classes. The ineffectiveness of such
evaluations is common fodder for articles and blogs in the higher education
world. There is much griping about what it can measure (if anything), how it
can be manipulated, and the evils of using such a device to evaluate teaching
effectiveness. They are rarely accompanied by solid proposals of how to
improve.
In the Jan-Feb 2015 issue of Change, Nobel Prize Winner and
oft-quoted physics education “specialist” Carl Wieman has an article titled “A Better Way to Evaluate Undergraduate Teaching”. Wieman goes through the current
common methods and critiques about their limitations. He then goes on to
outline his Teaching Practices Inventory approach. The idea is to quickly and
efficiently “measure” a set of teaching practices used by the instructor with
somewhat objective criteria. (Wieman acknowledges its limits and which parts of
the inventory may be more prone to subjectivity.)
An analogy is drawn to how research is evaluated. Wieman
writes: “While having a relatively large number of grants and
publications does not guarantee substantial research contributions, they tend
to be well correlated. Correspondingly, a faculty member in the sciences who
does not get research money and does not publish papers is very unlikely to be
making significant research contributions. Using effective, research-based
teaching practices as a proxy for the desired student outcomes is based on much
the same concept.”
Wieman claims that there is now
sufficient research showing a strong correlation between teaching practices in
the STEM fields and student learning outcomes, to justify the use of a practice
inventory as a proxy. He also refers to such practices as “consistent with
empirically grounded theoretical principles for the acquisition of complex
expertise.” The article references a paper by Wieman and his collaborator Sarah
Gilbert who have refined the inventory over a six-year period. I haven’t read
the paper yet, but it is on my list.
The approach is fast – one goes through the inventory
checklist, and the data is self-reported which in itself encourages
self-reflection. However the checklist is easy enough to use for the most part
if reported by someone else looking at the materials (although there are some
limitations, and there is some subjectivity involved). A classroom observation
protocol helps to get at some of the in-class activities and interactions. A
rubric is used to convert “raw data” from the inventory into numerical
“scores”.
Wieman goes through some of the potential pitfalls with the
approach. He in fact had anticipated my main concern: “The most obvious
concern with the inventory data and scoring rubric is that they measure the use
of particular practices, not how well those practices are being used. But the
important comparison here is not with perfection, but rather with alternative
methods of evaluation.” I’m inclined to agree with him that there is no perfect
method, and there will always be valid critiques of any method proposed.
However his method might actually be workable, certainly in the sciences, and
possibly to other fields. It is expected that some amount of tweaking will be
required, and Wieman acknowledges this.
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