Will the LMS Finally Deliver?
Matthew Pittinsky has been on the front lines of the LMS world for three decades, beginning in 1995. An early participant in the Instructional Management Systems Project (IMS), a co-founder of Blackboard, a board member at Instructure, and now a senior executive at Anthology/Blackboard, Pittinsky occupies a unique vantage point—as a “30-year observer and participant” in LMS leadership.
His two-part retrospective and prospective on the LMS is therefore must-reading. It offers rare insight into what has shaped “LMS thinking” over the past three decades—and what that thinking might look like in a world shaped by AI.
The LMS at 30
In Part I, The LMS at 30: From Course Management to Learning Management (At Last), Pittinsky begins by noting that 2025 “marks a milestone in the Internet’s impact on education: the 30th anniversary of the Learning Management System (LMS).”
He goes on to observe that none of the major technology platform shifts during this period—such as SaaS and mobile—fundamentally changed the LMS. Pittinsky reviews several other factors over this thirty-year span, but ultimately concludes:
“Today’s LMS may be more scalable, prettier and easier to provision, but presented side-by-side, an LMS course Web site today closely resembles those from 1999. Indeed, it is remarkable how much even the strategic framing of today’s LMS is the same as then.”
In other words, today’s LMS is essentially the same system we had three decades ago. This is a stunning admission.
A Stunning Admission—from the Inside
It is stunning not because it comes from a critic of the LMS, but because it comes from someone who helped build it, scale it, and defend it for thirty years. Pittinsky is not arguing that the LMS fell short of its ambitions. He is acknowledging something more consequential: that, instructionally, the LMS never truly changed.
In fact, the problem is worse than stasis. The core learning model did not stagnate—it never got off the ground. Across three decades, the LMS steadily improved the mechanics of course delivery and administration (what I call course bookkeeping) while leaving teaching and learning largely untouched.
As Pittinsky himself notes:
“By the early 2000s, ‘Course Management’ had been relabeled ‘Learning Management,’ aligning with the product category term used in corporate learning. The rebrand was aspirational at best, as the product was still much more about managing courses than actual facilitation of learning… We changed the name but the fundamental category paradigm remained unchanged.”
The label changed. The paradigm did not.
The Operating System Ambition
So what have LMS providers been doing for three decades?
“The biggest cost of this strategy was that a lot of product development ended up focused on consolidating LMS providers as opposed to innovating and evolving the LMS. Attention spent on technical debt, migration cycles, and acquired company retention was attention not spent on platform shifts (i.e., the cloud and SaaS), and reinvention.”
Pittinsky notes that Blackboard’s original pricing model failed. Colleges were neither willing nor able to pay $150,000 for an enterprise LMS in 1997. This pushed the company—at least in part—toward a bottom-up subscription licensing model. But the deeper reason for the lack of instructional progress lies elsewhere.
From the beginning, Blackboard aspired to become the “operating system” of education, much like Windows for general computing. Pittinsky describes it this way himself in his 1998 Blackboard investor practice presentation video. And if you aim to become the operating system of instruction, you must pursue a winner-take-all—or, as Pittinsky puts it more euphemistically, “winner-takes-most”—strategy.
That strategic choice carried a cost. The LMS scaled. The category consolidated. Instruction remained largely the same.
A Billion Dollars—and Little to Show for Learning
Pittinsky estimates that “approximately $1 billion of equity financing has fueled the evolution of the LMS.” The number is revealing—not because it signals underinvestment, but because it highlights a profound mismatch between capital deployed and outcomes achieved. Despite substantial funding and near-universal adoption, the LMS has failed to improve teaching and learning in any meaningful or measurable way.
Describing this history simply as “investment” also obscures what was actually being optimized. Equity financing is designed to reward scale, market dominance, and successful exits—not necessarily pedagogical transformation. Over time, those incentives shaped product priorities and strategic decisions. The result was a system that became highly effective at managing course administration, while leaving the problem of learning largely untouched.
At Last?
What makes Pittinsky’s argument compelling is not only the diagnosis, but the optimism with which he ends. Despite everything he has just acknowledged—the failure of the LMS to meaningfully change instruction, the misaligned incentives, the decades of stalled progress—he believes we are finally at an inflection point. This time, he argues, the conditions are different. How?
The answer, in his view, is AI. Pittinsky suggests that “the early vision of a core platform for instruction that orchestrates the teaching and learning process, customized to the context of the course and personalized to the needs of the learner, may soon be upon us. At last.”
In my next post, I will examine this forecast more closely, focusing on Pittinsky’s idea of the LMS as an “operating system” responsible for “instructional orchestration” and his “LMS at 30 Part 2: Learning Management in the AI Era.” Pittinsky’s 1998 Blackboard investor presentation contains two bold, groundbreaking ideas: first, the LMS as a technology that advances teaching and learning, particularly in online education; and second, the LMS as an operating system that should orchestrates all learning. I will argue that these two ambitions are fundamentally at odds—and ultimately irreconcilable.
My reaction to your thoughtful essay and to Matt's is the same. Learning results from what students do and only from what students do. The faculty member's role is to attempt to influence what students do (e.g., by explaining how to do it). I think about it this way.
Educational researchers have identified powerful patterns of learning (what students do) likely to have unusually good outcomes in what students learn and/or who can succeed in that learning. One such pattern is student-student collaboration.
1. If the LMS makes it easier to organize more or better student-student collaboration, how likely is it that faculty and/or students will take advantage of the opportunity to improve learning?
2. If they do use the capability, do they perceive that learning has improved?
3. If so, is there other evidence showing that learning has improved?
In the early days of CMSs, a study was done at the University of Missouri, St. Louis, in which students responded to questions - a) they felt they were doing more student-student collaboration (and several other evidence-based T&L activities) and that b) the CMS had helped them do it. (I don't know if the study was published. I no longer have a copy of the report.)
Bottom line: begin by identifying a powerful, affordable, equitable learning activity that there's evidence people would do more of if they could. (etc.) There are many possibilities for more productive use of LMSs and other technologies that can enable learning. Personally, word processing is probably my lifetime #1 edtech because it made writing easier and faster, and writing can be used to develop and clarify thinking (and I did use it for that purpose)
Strikes me that the failure of converting from course to learning management system has a lot to do with the lack of focus on students.
A lot of learning can't happen or does not happen in the actual technology since studying, reading, writing all are happening offline. Hard to manage what you can't verify or measure...