News, Views and Careers for All of Higher Education
April 15, 2005 Reality Check
Almost every college or university publishes a number called the student/faculty ratio as an indicator of undergraduate instructional quality. Among the many spurious data points exploited by commercial ranking agencies, this one holds a special place.
The mythology would have it that a low ratio, say 10 students per faculty member, indicates a university whose undergraduates take most of their instruction in small groups with a faculty instructor, and presumably learn best in those conditions. In contrast, a high number, say 25 students per faculty member, might lead us to think of large classes and less effective, impersonal instruction.
These common impressions represent mostly pure public relations. The ratio means none of this because the numbers used to calculate it are usually unreliable for comparing different universities or colleges and because the basic premise about small classes is flawed.
To illustrate the meaninglessness of the ratio, imagine two universities with exactly the same number of students, say 5,000, and the same number of faculty, say 500. Both institutions would report a student/faculty ratio of 10, and following common wisdom, we might imagine that both have the same teaching environment. The data do not show however, what the faculty do with their time.
Imagine that the first university has faculty of high prestige by virtue of their research accomplishments, and that these faculty spend half of their time in the classroom and half in research activities, a pattern typical of research institutions. Imagine, too, that the second university in our example has faculty less active in research but fully committed to the teaching mission of their college. Where the research-proficient faculty at our first institution spend only half their time in class, the teaching faculty in the second institution spend all of their time in the classroom.
Correcting the numbers to reflect the real commitment of faculty to teaching would give an actual student to teaching-faculty ratio of 20 to 1 for the research institution and 10 to 1 for the teaching college. The official reported ratio is wildly misleading at best.
The official student/faculty ratio is suspect for yet another reason. It appears as an indicator of something valuable in an institution’s teaching and learning process. The reported ratio implies that having a small number of students in a class indicates high instructional quality and effective learning.It may be that in K-12 settings, small class sizes help struggling students learn. In reasonably high quality colleges and universities, however, the evidence is different.
In some classes, for example those that teach beginning languages or performance studios in music, students do learn better when taught in small to very small groups. In the core business curriculum, in basic economics, in art and music appreciation, in history and psychology introductory courses, and many other subjects, students learn as much in large classes of more than 100 as they do in small classes of fewer than 25. In real life, smart universities mix large and small classes so that students can get small classes when small size makes a difference and find a place in large classes when that format works just as well.
A Different Way?
If universities really cared to give students, prospective students and parents a picture of the instructional pattern at their institutions, they would erase the unhelpful student/faculty ratio and instead, provide a more useful measure.
They could analyze the transcripts of their most recent graduating class and report the pattern of large and small classes actually experienced by graduating seniors.
How many courses did the graduates take in their major that had fewer than 20 students, how many general education courses did they take with over 50 or over 100?How many of their courses during their undergraduate years had a tenure-track faculty instructor, and how many had a visitor, a part-time faculty, or a teaching assistant as an instructor?
This kind of report would encourage institutions to explain why the nontenure track instructors teach as well as the tenure-track faculty, and it would give parents and prospective students an accurate understanding of the actual teaching mix they should expect during their undergraduate years.
Such accuracy might not be as good advertising as the misleading student/faculty ratio, but it would have the virtue of reflecting reality, and it would encourage us to talk clearly about the design and the delivery of the undergraduate education we provide.
I wonder what the minimum number of numbers required to give a fair picture would be. Let’s say:
1. % of classes taught by tenured or tenure-track faculty
2-3. Median and mean sizes of those classes
4. % of classes taught by an instructor with a PhD or equivalent
5-6. Median and mean sizes of *those* classes
7-8. And median and mean sizes of all classes.
Could it be done more efficiently than that? An effective student-faculty ratio based on mean # of classes/year taught by regulr faculty, such that 1000 students/100 faculty/ 4-course load and 1000 students/ 200 faculty/ 2-course load have the same effective ratio? This would worry me, as it assumes higher faculty course loads are linear goods from students’ perspectives, which is certainly false once teachers are dividing their attention among more than three, and arguably more than two, courses at a time.
Jacob T. Levy, University of Chicago, at 12:15 pm EDT on April 15, 2005
John Lombardi wrote, “Students learn as much in large classes of more than 100 as they do in small classes of fewer than 25.”
Like a previous commentator, I would like to know what counts as evidence of learning. But I would like even more to learn on what particular evidence John Lombardi bases this highly unlikely statement, unless he simply means that in small classes the instructors lecture at the class anyhow.
Charles Muscatine, at 5:20 pm EDT on April 15, 2005
These comments illustrate the great difficulty in identifying a simple number that captures the complexity of learning. The fuzziness comes in when, for lack of a good definition of learning, we substitute an easily calculated number constructed out of non-standard data and then allow it to be used to imply a useful comparison of the student experience at quite different institutions that may well have quite different approaches to undergraduate education.
If we take a standardized course, like say economics 101, and deliver it in multiple sections, some large, some small, with common tests and over reasonably large numbers of students, the results indicate that at least in such courses with standardized content, the class size does not appear to make much difference in the tested results. Of course as one of our commentators so rightly suggests, the test may not be the full measure of the learning.
As for the amount of data needed to get a full picture of the student experience, it’s certainly true that we can have infinite regression and seek total data. But the issue isn’t the totality of the data, it is the clarity and accuracy of the data we provide. Student/faculty ratios do not pass the test of clarity or accuracy.
John
John, Professor at University of Massachusetts Amherst, at 10:16 pm EDT on April 15, 2005
John,If I’m reading your latest comments correctly, you’re saying that if we take a set of content and deliver it in the same way and administer the same exams, then class size does not matter.
I would not find this at all surprising. But, I would ask:
If you have a smaller class, why not take advantage of that fact and switch from a lecture format (information transmission) to one that actively engages the learners and might not disseminate as much information but requires more critical thought?
Isn’t that why smaller classes are thought to be more promising? I would imagine that such changes (and resulting differences in learning) would not be captured on a standard multiple choice (or regurgitate the information in another format-I often give these, I’m not trying to denigrate them) test.
How would we measure a difference in student learning/experience between the small and large classes if they were doing something different? What would we call effective?
In gen. ed. classes are we only hoping that students will master some set body of knowledge? Then yes, deliver them via lecture. But, in the gen. ed math classes that I teach that is most certainly not my goal.
Also, thank you for engaging in this conversation, I’m certain that you have many demands on your time.
Tim Fukawa-Connelly, at 3:47 pm EDT on April 16, 2005
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What counts as evidence
John Lombardi wrote, “Students learn as much in large classes of more than 100 as they do in small classes of fewer than 25.”
I would like to know what counts as evidence of learning? Is it grades? Some objective measure? Student report?
I ask, because the next sentence says, “In real life, smart universities mix large and small classes so that students can get small classes when small size makes a difference and find a place in large classes when that format works just as well.”
I would agree, but at the moment, we have to decide what counts as evidence of learning and there seems to be substantial disagreement on this point. Once we’ve decided what counts as evidence, we can collect it. But, if we only teach large sections of gen ed. classes how will we ever know if students learn more in smaller ones?
Tim Fukawa-Connelly, at 11:39 am EDT on April 15, 2005