“It’s not the strongest of the species that survives,” Charles Darwin once observed, “but the one most responsive to change.”
If only it were true in higher education.
It’s interesting to observe, isn’t it, how much higher education is still driven by a “brute force” model of delivery? As much as we might wish it were otherwise, postsecondary courses and degree programs are still largely delivered in a one-size-fits-all manner, and those students who can’t keep up are simply left behind, sometimes irretrievably so – the higher education equivalent of natural selection, some might say.
(I once had lunch with a colleague, for example, who told me with no small amount of pride that he only taught to the 10 percent of the class who “got it.” The others, it seemed, were not worth his effort.)
But surely anyone – teacher, student, or otherwise – who has ever sat in a classroom has seen glaring evidence of the fact that not all students move at the same pace. Some are prepared to move more quickly than the majority while others require greater attention and more time to master the same material as their classmates. The limits of mainstreaming diversely skilled students are obvious to all and yet we largely persist in the vain hope that greater numbers of students will learn to move at “class pace” if only we underscore their responsibility to do so in syllabuses and first-class lectures.
Of course, when teachers face classes of 20 or 40 or 200 students, personalized instruction isn’t much of an option. It’s simply too expensive and impractical – until now, perhaps.
Witness the countervailing perspective emerging these days that the curriculum is the thing that needs to change pace. Indeed, after a number of years of quiet experimentation we may now be on the cusp of an evolutionary moment – one that promises greater personalization, deeper engagement, and stronger outcomes for students of many types. And it may even be affordable. In fact, it may even be cost-efficient, by virtue of allowing instructors to use their time more judiciously.
Welcome to the emerging realm of adaptive learning – an environment where technology and brain science collaborate with big data to carve out customized pathways through curriculums for individual learners and free up teachers to devote their energies in more productive and scalable ways.
What promises to make adaptive learning technologies an important evolutionary advance in our approaches to teaching and learning is the way these systems behave differently based on how the learner interacts with them, allowing for a variety of nonlinear paths to remediation that are largely foreclosed by the one-size-fits-all approach of traditional class-paced forms of instruction.
To put it simply, adaptive systems adapt to the learner. In turn, they allow the learner to adapt to the curriculum in more effective ways. (See this recent white paper from Education Growth Advisors for more background on what adaptive learning really looks like – full disclosure: I had a hand in writing it.)
If the early results hold, we may soon be able to argue quite compellingly that these forms of computer-aided instruction actually produce better outcomes – in certain settings at least – than traditional forms of teaching and assessment do. In the future, as Darwin might have said were he still here, it won’t be the students who can withstand the brute force approach to higher education who survive, but those who prove themselves to be the most adaptive.
A recent poll of college and university presidents conducted by Inside Higher Ed and Gallup showed that a greater number of the survey’s respondents saw potential in adaptive learning to make a “positive impact on higher education” (66 percent) than they saw in MOOCs (42 percent). This is somewhat surprising given the vastly differing quantities of ink spilled on these respective topics, but it’s encouraging that adaptive learning is on the radar of so many college and university leaders. In some respects, adaptive learning has been one of higher education’s best-kept secrets.
For over a decade, Carnegie Mellon University’s Open Learning Initiative has been conducting research on how to develop technology-assisted course materials that provide real-time remediation and encourage deeper engagement among students en route to achieving improved outcomes. So adaptive learning is not necessarily new, and its origins go back even further to computer-based tutoring systems of various stripes.
But the interest in adaptive learning within the higher education community has increased significantly in the last year or two – particularly as software companies like Knewton have attracted tens of millions of dollars in venture capital and worked with high-visibility institutions like Arizona State University. (See Inside Higher Ed’s extensive profile of Knewton’s collaboration with ASU, from January of this year, here.)
Some of our biggest education companies have been paying attention, too. Pearson and Knewton are now working together to convert Pearson learning materials into adaptive courses and modules. Other big publishers have developed their own adaptive learning solutions – like McGraw-Hill’s LearnSmart division.
But a variety of early-stage companies are emerging, too. Not just in the U.S., but all around the world. Take CogBooks, based in Scotland, whose solution’s algorithms permit students to follow a nonlinear path through a web of learning content according to their particular areas of strength and weakness as captured by the CogBooks system. Or consider Smart Sparrow, based in Australia, whose system supports simulations and virtual laboratories and is currently being deployed in a variety of institutions both at home and here in the U.S., including ASU.
There is also Cerego, founded in Japan but now moving into the U.S., with a solution that focuses on memory optimization by delivering tailored content to students that is based not only on a recognition of which content they have mastered but also with an understanding of how memory degrades and how learning can be optimized by delivering remediation at just the right point in the arc of memory decay.
These adaptive learning companies, and many others working alongside them, share a common interest in bringing brain science and learning theory into play in designing learning experiences that achieve higher impact.
They differ in their points of emphasis – a consequence, in part, of their varying origin stories. Some companies emerged from the test prep field, while others began life as data analytics engines, and so on. But they are converging on a goal – drawing on big data to inform a more rigorous and scientific approach to curriculum development, delivery, and student assessment and remediation.
In the months ahead, you should expect to be seeing more and more coverage and other discussion of companies like these, as well as the institutions that are deploying their solutions in increasingly high-impact ways. Last month, the Bill & Melinda Gates Foundation issued an RFP inviting institutions to collaborate with companies such as these in seeking $100,000 grants to support new adaptive learning implementations. The grants are contingent, in part, on the winning proposals outlining how they’ll measure the impact of those implementations.
Before long, then, we may have much more we can say about just how far adaptive learning can take us in moving beyond a one-size-fits-all approach to teaching and learning – and in achieving better outcomes as a result. And for some students, their survival may depend upon it.
Peter Stokes is executive director of postsecondary innovation in the College of Professional Studies at Northeastern University, and author of the Peripheral Vision column.
With great interest, I read the recent news announcing that the American Council on Education (ACE) had evaluated five Coursera MOOCs and recommended them for credit. But I had hoped for something different.
Having traditional prestigious institutions making their online content open to the world – of course without their prestigious credit attached – was an exciting development. A race to post courses ensued. On the surface, it’s an altruistic move to make learning available to anyone, anywhere for free.
Dig deeper and we are left to ask, how many MOOC courses will really be worth college credit, where will the credits be accepted, and for how long will college credits even be the primary measurement of learning?
Now that ACE has evaluated a few courses, MOOC providers will see how their process goes as students start actually finding proctors and taking tests -- or finding other methods of assessment -- to prove they learned the material. But a few courses will not be enough to really help students earn degrees, and with MOOC courses and providers continuing to proliferate, this does not seem like a viable way to keep up with demand.
Regardless, it is more than likely that the universities that agreed to the ACE CREDIT review are never going to accept an ACE CREDIT transcript themselves. The students with ACE CREDIT transcripts will need to present those transcripts to “lesser known” schools that are not among the elite players – colleges with much lower tuition and a willingness to serve post-traditional students.
More troubling is the fact that the ACE process for credit review is still course-based. Will this really be flexible enough in the future? Will it measure competencies and individual learning outcomes? Even if it seems scalable, will it mean all MOOC evaluations have to run through ACE and only ACE? Will students have to wait until ACE has evaluated a MOOC course before they can get credit?
Moreover, this raises the question: Are course evaluations and testing really the best or only way to deal with this new era of learning? What about experiential learning? If someone has college-level learning from their life experience is it invalid unless they take a course?
As Inside Higher Ed points out in its article, this was a fast move in an industry that moves at a glacial pace. But when ice really begins to melt, it can quickly turn into a waterfall. Students have more options for learning, and can get more information, from a variety of sources. So the question for education becomes, how can we best accommodate that?
I would assert that a portfolio assessment of students’ learning is the best way. Just as an artist shows a portfolio to a prospective employer, students should be able to demonstrate learning from wherever they have learned -- work, MOOCs, informal training, military service, volunteer service, and more -- all in one place. And much of this learning will not involve a course at all.
If MOOCs are to be truly disruptive, they must link to competencies, credentials, degrees and/or ultimately jobs. Using a course-by-course, credit hour-by-credit hour approach to do this will not dramatically change the way people earn degrees. And dramatic change that allows for individual demonstrations of competencies is the only way to provide the education quality and agility necessary to truly recognize learning derived from free resources on the web. By focusing on competencies, we can align and accept learning experiences from everywhere.
Pamela Tate is president/CEO of the Council for Adult and Experiential Learning.