A year ago, I dropped out of one of the best computer science programs in Canada. I started creating my own data science master’s program…
For nearly 30 years, pundits have predicted that education technology would disrupt higher education. Online courses will reduce costs and create unprecedented access to higher education, so the argument goes. Likewise, adaptive learning will improve — or replace — the art of teaching as the right digital content is delivered at the right time to each individual learner.
It’s looking increasingly like none of these are the game-changers we expected. While online learning is commonplace, higher education remains firmly in the crosshairs of critics targeting high tuition, student debt, poor completion rates and unemployed and underemployed graduates — demonstrating a growing skills gap.
But all is not lost. It may be that technology’s transformation of higher education lies not in the transformation of teaching and learning, but the advent of a new digital language that connects higher education and the labor market and, in so doing, exerts profound changes on both.
The historic disconnect between higher education and the needs of the labor market is a data problem. In the past, data translating the discrete skills or competencies that employers need was not easily available or meaningful to faculty who create courses, or the students who take them.
Meanwhile, hiring managers have consistently relied on signals supported by anecdotal evidence, at best — for example, assuming that philosophy majors from Brown made terrific analysts, or that teachers with master’s degrees performed better in the classroom.
Today, technology is changing the relationship between education and the workforce in four distinct ways.
First, competency data is becoming increasingly available. Online psychometric assessments, e-portfolios and micro-credentials are surfacing student competencies beneath the level of the terminal credential (i.e. degree). In addition, many colleges and universities are in the process of migrating to competency-based models, which will allow for the output of transcripts that better describe the competencies of graduates.
No longer will students fork over $200,000 in tuition for a standard four-year bundle.
Second, there is a clear path for employers to interact with this new data. Applicant Tracking Systems (ATS) are incorporating analytics and will soon begin gathering new competency data as inputs for assembling candidate pools for human hiring managers to evaluate. As such, ATS is transitioning from a backwater of HR technology to Application Information Systems that will radically reduce the preponderance of false positives and false negatives in candidate pools, thereby significantly reducing bad hires that cost employers about $15,000 each, on average.
Third, this data is being extracted and parsed into competency statements by algorithms originally developed for purposes other than human capital development (i.e. search, e-commerce). On the other side, the same algorithms are extracting and parsing competency statements from job descriptions, then matching the two.
Of course, regardless of the caliber of student competency data, matching students with jobs only works if employers’ job descriptions accurately capture and describe key competencies. So the fourth major development is the advent of “People Analytics” technologies, allowing employers to track employee performance with a feedback loop to job descriptions. The result is that job descriptions continuously improve, moving from vague and data-poor to precise, data-rich renderings of the profiles of top performers.
Together, these four technological developments will close the gap between higher education and the labor market and usher in a new era in human capital. The resulting “competency marketplaces” will help students understand the jobs and careers that they’re most likely to match and help employers identify students who are on track, or on a trajectory to match in the future.
Competency marketplaces will inform students’ direction through postsecondary education by providing a human capital GPS to help them select which credentials, courses, assessments, projects or virtual internships move them most efficiently and effectively toward target professions or employers.
The core of the competency marketplace is the candidate or student profile. Your profile will include your resume and transcript, along with badges, projects, the results of standardized tests taken over the course of your life (SAT, ACT, GRE, LSAT) or new industry- or employer-specific micro-assessments. Students with more comprehensive profiles (i.e. more competency data) will be given preference by employers via the ATS. Colleges and universities that fail to recognize this may find that their students are at a relative disadvantage in the labor market and, over time, may face enrollment pressure.
The market for competencies will ultimately put unprecedented pressure on colleges and universities to unbundle the degree. As employers move to competency-based hiring, many will determine that degrees are not a priority — or even required for certain jobs. Over the next few years, degrees will become MIA in many job descriptions.
Unbundling doesn’t mean liberal arts will disappear. It may be that liberal arts courses provide high-value competencies that predict career success across many professions. But it does mean that revenue per student will decline, and that colleges and universities will need to work a lot harder and be a lot more creative to capture the lifetime value of student-consumers. No longer will students fork over $200,000 in tuition for a standard four-year bundle. Postsecondary education will become increasingly affordable. Completion rates will rise. Placement will improve. This is how technology will ultimately disrupt higher education.
While this seems like the stuff of science fiction, it is not far off. Millions of new job descriptions are posted online every month. Colleges and universities are issuing millions of micro-credentials, millions of students are posting work in e-portfolios. Thousands of employers use Applicant Tracking Systems that are transitioning to Applicant Information Systems.
As the new language of competencies disrupts higher education, we will need to be vigilant to protect the central role that our colleges and universities play in civil society and economic development. At the same time, colleges and universities must take no comfort in the fact that prior predictions of technological disruption have proven false. This time really is different.
The connection between active learning classrooms and blended, low-residency, and online programs.
It is 1873. Something unique is about to happen. A steam-train gathers speed in the background. Carriages on cobbled streets. In a dark room children sleep. In another room, a man reads a newspaper. In the kitchen a woman sits. She takes out a notebook, envelope, stamp and a package of brown paper containing a…
In 1984, educational psychologist Benjamin Bloom published research on a new method of teaching, commonly called Bloom’s 2 Sigma Problem. The term “2 Sigma” comes from the results of the study, which showed that students who were provisioned with a combination of one-on-one mentorship and mastery learning performed two standard deviations (“sigma”) higher than… Read More
The MOOCs seem to have faded from view. In large part this is because they were so relentlessly overhyped when they first appeared. But now various forms of online education have begun to get traction in the marketplace. An essay by Clay Shirky points out how online education is operating today and its implications for higher education. Continue reading →
I teach one of the world’s most popular MOOCs (massive online open courses), “Learning How to Learn,” with neuroscientist Terrence…