Thursday, July 07, 2011
Gainful Employment, on the Ground
But it’s a real pain in the neck here in the trenches. (I know, I know, trenches don’t have necks. Just go with it.)
The first issue is defining which programs are covered. As near as I can tell -- and I endured a webinar sponsored by the federal government, which was about as exciting as the phrase “webinar sponsored by the federal government” would lead you to believe -- it doesn’t apply to degree programs, to certificates with fewer than ten students enrolled, or to certificates earned in the course of earning a degree. (An example of that might be a CNA earned on the way to a Nursing degree.) The “fewer than ten” rule is intended to screen out any personally identifiable information. If Steve is the only graduate a program has ever had, then knowing the average salaries of graduates would tell you what Steve makes. Steve could argue, with merit, that his salary is none of your damn business. So we have a threshold of ten.
Having narrowed down the scope of the certificates to which the new mandate applies, though, gathering the information is a nightmare.
For one thing, we’re supposed to go back five years in reporting graduates’ salaries. How, exactly, we are to do that is left unspecified. In most programs, we’ve never bothered collecting salary information, since there wasn’t a reason to. It’s hard enough getting students to report that information in a timely and truthful way; adding time travel to the task makes it that much harder.
We’re also supposed to report median student loan levels of students in the programs. That sounds easy until you realize that students routinely switch programs or majors while they’re here. If a student switched from practical nursing to culinary after two semesters, which debt do you count? (Another quirk of using the “median” as a measure: if less than half of the students received loans, then the median is zero, by definition. That’s not uncommon when you have a significant Pell grant population. Not sure how much that statistic helps anyone, but there it is.) We also have students who think they’re dropping out of a degree program, only to discover that they’ve inadvertently fulfilled the requirements for a certificate along the way. Do we count them, even if they took a bunch of additional credits that had nothing to do with the certificate? Although the rules are based on the assumption that students pick a program and then follow it, in practice it sometimes goes the other way. It’s not the most efficient path, but it’s real.
Conceptually, most of these (except time travel) are surmountable. But they take staff time, which means money. Since we were never previously required to capture much of this information, the first round of data recovery involves significant archeology. It’s doable, but the money and time spent doing that is money and time lost from other things. Coming on the heels of three consecutive years of cuts, though, the mandate forces other cuts to be even worse than they already are.
None of this is to argue against the philosophical goal of the regulations, which is to empower students to make informed decisions. It’s just to point out that the data that will be generated will necessarily be partial and noisy, as well as time-bound and expensive. Ironically enough, the sector whose abuses started the whole thing -- the for-profits -- are in much better shape to comply with the mandates than community colleges are. With many fewer programs per institution, and with much greater emphasis on job placement, they can likely produce most of what’s required without breaking a sweat.
My unsolicited suggestion: if the Federal department of education wants us to spend money on data gathering and reporting, it can pay for it. Send grants to the colleges to which the mandate applies. Alternately, narrow the mandate to the for-profits. But this is just expensive makework at a time when every dollar counts.
We’ll do our best to comply, since we have to. But this is a costly diversion from the main task at hand, and one that will generate data of limited validity. If the for-profits are a problem, address them, but this approach is counterproductive and costly.