Saturday, February 25, 2017

Teaching, Research and Scholarship, Part 5


Four weeks ago, a Brookings report caught my eye while I was websurfing. “Are great teachers poor scholars?” by David Figlio and Morton Schapiro focuses this question on their own campus, Northwestern University. Here’s a link to the report. Since the release of the report coincided with my early semester busyness, I didn’t get around to blogging about it. So a month later, here are a summary of the results and my subsequent thoughts.

The authors used two proxies to measure teaching quality: (1) The percentage of students that declared a major in an area after taking a first-quarter course in that same field is the “conversion” rate. The authors refer to this an indicator of inspiration due to the first-quarter instructor. (2) The effect of students’ future grades in subsequent classes in the same major field reflects the longer-term value provided by the first-quarter instructor. The authors refer to this as an indicator of deep learning. The data was crunched for eight cohorts of first-year undergraduates.

Research was measured in two ways: (1) Northwestern annually recognizes and honors a subset of its faculty for “research excellence”. Criteria include being elected into prestigious academic organizations, receiving prestigious fellowships, winning major research awards, and more. (2) The h-index was computed for faculty members scaled to departments since there is a large variation in citation norms across different disciplines.

Perhaps not surprisingly, the two research measures correlated. On the other hand, there is essentially no correlation between the two teaching measures, i.e., an instructor who had inspired many students choose to major in that field may or may not have provided them with deep learning. And those who seem to have provided deeper learning, may or may not show much in the way of inspiration. Without more details and the raw data, the lack of correlation is unclear. Furthermore, whether the teaching proxies are reasonable indicators of inspiration, deep learning, or even teaching effectiveness is questionable. The authors do suggest the possibility that their proxies are ineffective measures, but clearly they think there is something to their results, otherwise it likely would not have been published.

Are these results unique to Northwestern? The participants are only tenured faculty, thereby narrowing the pool to those who are at least successful enough on both fronts to earn tenure. As an R1 institution, the teaching loads at Northwestern are also lower on average. With a heavier teaching load, the time constraints may start to impact quality. If you’re at a liberal arts college, with no graduate students, the time factor is even more acute. You don’t have teaching assistants to help with the grading, although this is balanced by having smaller sections. If you’re a lab scientist, your group’s productivity isn’t going to be as high unless you as the principal investigator put in a substantial amount of time training and working with your undergraduate research students. This is balanced by lower productivity research requirements compared to R1 institutions, at least in terms of quantity, not quality.

The report questions the motivation of the University of California system’s move to security-of-employment lecturers, effectively a tenure-line teaching track. The authors think that “protecting the time of the research faculty” may not be an adequate argument. Perhaps Northwestern has more resources, but from a resource point of view, especially with burgeoning numbers of students flocking to the sciences (at least at the introductory level), adjunctification of faculty is simply going to increase. Providing security-of-employment and retaining top-notch teachers who choose to devote their career to full-time teaching excellence seems to me a good thing.

The authors state that “the reason why most of the top-rated universities in the world are located in the United States is not what goes on in its classrooms; it is the research power of its faculties.” And furthermore, “faculty salaries at research universities are determined primarily by research performance and the reputation that comes with it.” I appreciate the fact that having a diversity of educational institutions in the United States allows serving a diverse population with diverse needs. I chose being at a liberal arts college because while I think research and advancing knowledge for its own sake it is important, research is an excellent activity contributing to the education of college undergraduates. But productivity isn’t the main goal, education is! I think it sad that the marketplace places the R1 star researcher at the top of an academic hierarchy, often allowing such people to negotiate lower teaching loads or avoid introductory undergraduate courses. Not all institutions do these, and perhaps Northwestern falls into that category, but as competition continues to heat up, human beings have only 24 hours per day, some of which needs to be spent sleeping or recuperating. It’s hard to achieve excellence in multiple areas without putting in the time and having the appropriate supporting resources. Something will have to give.

(Links to previous posts on this series: part 4, part 3, part 2, part 1)

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