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In today’s edition: The future of small colleges; and getting students ready for AI.
EVENTS
đ¨đ TONIGHT at 8:30 p.m. ET/5:30 p.m. PT, join me for a free webcast âThe Truth about When and Why a College Major Mattersâ held in conjunction with Road2College.
In the hour-long discussion, weâll talk about trends in college majors, including earnings, as well as how skills beyond the major are increasingly important in landing jobs.
Iâll be joined during part of the discussion by Matt Sigelman, who heads up the Burning Glass Institute, which studies what employers want in job skills in real time.
Itâs still a stat that shocks me when I look at enrollment data: About 40% of American colleges enroll 1,000 or fewer students. Another 40% enroll fewer than 5,000 students.
We have lots of small colleges in the U.S. The conventional wisdom given other industries is that they all wonât survive with a demographic cliff coming of high-school graduates in the middle of this decadeâespecially since most of the colleges serve traditional-age students within 50 to 100 miles of campus.
Simmons is one of those small colleges. At the undergrad level it has about 1,800 students (and 3,900 grad students). Wooten brings an interesting perspective to the job, not only as a business dean, but as someone who has spent her career as a scholar and expert on organizational development and transformation. In other words, she doesnât just read the business literature as a college president; she has actually written it.
Three key takeaways from our conversation with Wooten:
The distinction for small colleges just canât be that they are small. At Simmons, itâs that they are a womenâs college for undergrads; co-ed as grad. They know the earlier you get your graduate degree, especially for women, the better your economic trajectory. So starting this year, any student at Simmons can get an undergrad and grad degree in five years. âWe are focusing a lot on what can we do best in this higher ed landscape than no one else can do,â Wooten said.
Lean into the Data. Too many colleges are still run on anecdote, gut, and emotion. When Simmons recently went through academic changes it looked at where its majors were, where its students were (online vs. in-person) and the mix between grad and undergrad. That drove decision-making and allowed them to integrate failing humanities programs into the professions and as a blended degree.
Online ed alone is not unique. Simmons was a first mover there with an innovative nursing program. But the first-mover advantage for small colleges online was lost during the pandemic, Wooten told me.âWe have to think about what we can make unique for our program. So balancing asynchronous versus synchronous, we’re asking about pricing models, we’re asking about new degree programs, all of those types of things,â she said.
Iâm often asked when I give talks if weâll see more consolidation or closures in the college market in the coming years.
Whatâs more, the infrastructure of higher education is tough to replicateâitâs not just building a single hospital buildingâand most colleges arenât in highly desirable locations. Recent consolidations or outright purchases of campuses have been mostly about real estate: Northeastern/Mills in Oakland, UCLA/Marymount California near Los Angeles, and Villanova/Cabrini near Philadelphia.
Itâs likely we will see closures given the thin margins some colleges are operating on post-pandemic, a trend I can only imagine will now accelerate given the issues with the new FAFSA. Small, struggling colleges are even more reliant on federal student aid and tend to enroll more Pell Grant students as a proportion of their overall student body. Any set back in students enrolling (or deciding not to enroll at all) because of delays in their financial-aid packages will spell doom for some campuses.
đŻ They can serve new markets of learnersâmostly adults who have credits and no degree. Thatâs a huge market of 39 million American adults and growing. Even if they can get a very small slice of that market, it will help keep them going. But in talking to some of these college leaders and their trustees, there doesnât seem to be much interest in serving that market or they donât know how to do it (and donât want to learn until itâs too late).
đ Colleges can also network together to form much deeper alliances, not just on back-office operations like payroll and IT (which is increasingly common), but also on the academic side of the house. Students of all ages want more of a hybrid experience anyway, according to various surveys. Colleges can maintain a small physical footprint to serve their local market in person with their strongest programs. Then they can collaborate with other colleges for courses in other disciplines. Yes, sounds simple in theory, but given the culture, workforce, political, and regulatory pressures on higher ed, it’s much more difficult, if not impossible, to put into practice.
đŞ Iâm still waiting for the right set of leaders among faculty, deans, presidents, trustees, and policymakers to put this playbook into action. Judging from the recent news in my native home of Pennsylvania, we might see the beginnings of it there in the coming years.
How Might Colleges Teach AI?
Nearly 42% of higher ed faculty in the U.S. said AI applications are ânot at all importantâ for their research, teaching and scholarship
Professors might not think AI is important in their teaching and research right now, but they do believe itâs about to become more critical. The question is how they prepare a generation of learners who already are using AI toolsâand maybe not always in the right way.
Driving the news: Nearly 42% of 777 higher ed faculty in the U.S. surveyed by Primary Research Group said AI applications are ânot at all importantâ for their research, teaching and scholarship, according to EdSurge.
But nearly 20% thought it would be âvery importantâ in their work within the next three years, and another 37% said it would be âsomewhat important.â
Why it matters: Too much of the discussion around AI on college campuses is still focused on how it âinterferesâ with student learningâjust like Google and Wikipedia when they were first released. That was one of the comments in the chat discussion during the âNext Office Hourâ I hosted last month.
Colleges shouldnât wait any longer to meet students where they already are with AI tools. âProfessors need to start using AI as a teaching or learning support tool,â said Taniya Mishra, founder of SureStart, which partners with high schools as well as colleges to train and mentor students from communities underrepresented in AI.
When faculty use AI in teaching, they can help students with the balance between the technology as a âthinking toolâ vs. an âideating tool,â said Lance Eaton, an instructional designer and author of the AI + Education = Simplified newsletter.
âYou need two buckets to work with AI,â Eaton said. âYou need a good understanding of what generative AI is and how it works, and you need expertise in the subject so you understand the limitations of any questionable outputs.â
Inside the classroom: Eaton said he sees faculty members using the concept of âred teamingâ in teaching AI. Red teaming is a structured testing effort to find flaws, in this case with AI output.
Students are split into two groups. One group uses generative AI to produce an output, while the other group of students, knowing itâs from AI, critiques it to find faults.
One issue facing professors right now is finding class time to spend on AI. âWe still have the same amount of class time,â Eaton said. âAnd now weâre not just learning the discipline, but the way this tool is going to disrupt or challenge or reorient disciplines.â
The big picture: Given how fast AI is moving and the divide between what faculty know and what their students know, a different, more community-based approach is needed in teaching, the panelists on the âNext Office Hourâ agreed.
âThere’s a different way to learn, which doesn’t hinge on your age and prior experience,â Mishra said. âItâs all of us learning in community and learning with each other that I think is going to really help us put our arms around this newly developing field.â
Bottom line: Sure, many professors have flipped their classrooms so students watch online lectures and do other activities before meeting in a classroom for active learning.
But course redesign takes knowledge of pedagogical research and often working with instructional designers. While community-based learning might sound like a great concept when it comes to an emerging and fast-moving field like AI, thereâs the practical matter about how faculty members incorporate it into their teaching.
Thereâs also the matter of how teaching AI differs by discipline. In all, this requires institutional leadersâwho Iâve found give more lip service to quality teaching than dedicate real resources to itâto be much more intentional about improving teaching. That includes bigger investments in instructional designers as well as teaching and learning centers (as The Chronicle of Higher Educationâs Beth McMurtrie pointed out last year, only a quarter of institutions even have a teaching center for faculty).
âď¸ Dartmouth Goes Back to the SAT. Dartmouth College has said âthat it would again require applicants to submit standardized test scores, starting next year. Itâs a significant development because other selective colleges are now deciding whether to do so,â David Leonhardt writes in the New York Times.
đ Dartmouth Starting a Trend? Part II. âA regional director for the National Labor Relations Board pushed college sports a bit further from amateurism when she ruled the Dartmouth menâs basketball team can hold a union electionâwhich would mean the athletes are employees of their school,â writes the Washington Postâs Jesse Dougherty. The idea of college athletes as employees plus grad student unions is a double whammy for the bottom line of colleges as I wrote about in Next last summer.
đŹ Want to be a Professor?A growing number of doctoral-degree holders are finding work in industry, according to federal data crunched by the Chronicle of Higher Educationâs Audrey Williams June. âOf the 21,450 Ph.D. recipients in 2022 who said they had accepted jobs in the United States, 48.1% were headed to jobs in industryâwhich has absorbed an increasing share of Ph.D.s over time. Thatâs up from 20.9% in 1992.â