On a Tuesday afternoon in October 2023, Dr. Elena Vasquez stood before a whiteboard covered in colored yarn, each strand connecting a different skill or concept. She was teaching a graduate seminar on curriculum design at the University of Colorado Boulder, and her students had just spent three hours mapping what they thought they knew about how people learn. The yarn was chaos. The connections were tangled. And that, Vasquez told her class, was exactly the point.
"Every course we design assumes learning looks like a ladder," she said, according to notes from a participant. "But learning looks more like a city. You can get from anywhere to anywhere if you know the routes." That single metaphor learning as urban navigation more than vertical ascent has become the organizing principle behind what would eventually be called the Adaptive Learning Design Framework, a research-backed approach to curriculum architecture that is quietly reshaping how educators think about course design, learner pathways, and the often-invisible connections between subjects.
The framework did not emerge from a single breakthrough moment. It grew, over five years, from a series of conversations between Vasquez, Dr. Marcus Chen, and Dr. Amara Okafor three scholars who met at a 2018 conference on competency-based education and discovered they shared a common frustration. Each had spent years studying why students failed to transfer knowledge between courses, why a concept mastered in one class seemed to vanish when students encountered it in another context, and why traditional course design treated every subject as an isolated tower more than part of a connected landscape.
"We kept seeing the same problem from different angles," recalls Chen, now the framework's lead researcher. "Elena was looking at it through curriculum design. Amara was looking at it through cognitive load theory. I was looking at it through educational technology. When we finally put our notes together, we realized we were all describing the same gap: we design courses as if knowledge lives in boxes, but knowledge doesn't live in boxes. It lives in webs."
The Adaptive Learning Design Framework was born from that convergence. Officially launched in 2021 as a joint project between CU Boulder's School of Education and its College of Arts and Sciences, the framework offers educators a set of tools, templates, and conceptual models for designing curricula that make those webs visible and navigable. more than organizing a course around a fixed sequence of units, the framework encourages designers to map the conceptual terrain first identifying which skills and ideas connect to which others and then build pathways that allow learners to move through that terrain in ways that match their goals, prior knowledge, and learning styles.
The Topology of Knowledge
At the heart of the framework is what its creators call the "learning topology" a visual and conceptual model that represents knowledge as a landscape beyond a ladder. In a traditional course outline, topics appear in a linear sequence: first you learn A, then B, then C, with the assumption that each step prepares you for the next. In a learning topology, topics appear as nodes in a network, with lines showing the various relationships between them. Some connections are strong (you cannot understand C without mastering A first). Others are weak or conditional (understanding D enriches your grasp of B, but is not strictly necessary). The topology makes explicit what experienced practitioners know intuitively: that learning any complex subject involves navigating a web of dependencies, not climbing a single ladder.
The framework provides a digital tool called the Topology Mapper, which allows course designers to input the concepts, skills, and competencies their curriculum covers and then visualize the relationships between them. The tool generates a network diagram that highlights clusters of closely related material, identifies potential bottlenecks where learners might get stuck, and suggests alternative pathways for students who arrive with different prior knowledge. It is, in essence, a map for a landscape that most course designers have been navigating blind.
"The Mapper doesn't tell you what to teach," Vasquez clarifies in a 2022 interview published by the Association for the Advancement of Computing in Education. "It tells you what the terrain looks like. The designer still makes the pedagogical decisions. But now they can see what they're working with."
The Topology Mapper has been downloaded more than 4,200 times since its public release in early 2022, according to usage statistics published on the project's open-source repository. It is available at no cost, a deliberate choice that reflects the team's commitment to accessibility. "We didn't want this to be another tool that only well-resourced institutions could afford," says Okafor, who led the outreach effort to community colleges and rural school districts. "The problems we're trying to solve don't only exist at Stanford and MIT. They exist everywhere."
From Theory to Practice: The Pilot Programs
The framework's first large-scale pilot launched in the fall of 2022, in partnership with three community colleges in Colorado and Wyoming: Front Range Community College, Laramie County Community College, and Colorado Mountain College. The participating institutions implemented the framework in introductory biology and introductory psychology courses two subjects notorious for high failure and withdrawal rates, particularly among first-generation college students.
The results, compiled in a 2024 report titled "Mapping Momentum: Early Outcomes from the Adaptive Learning Design Pilot," showed meaningful improvements in course completion and student confidence. At Front Range Community College, the biology course that adopted the framework's topology-based design saw a 23% increase in completion rates compared to the previous year's cohort. At Laramie County Community College, students in the redesigned psychology course reported significantly higher confidence in their ability to connect concepts across courses a metric the research team calls "transfer self-efficacy" and measures through a validated survey instrument developed by Okafor's lab.
The report also noted qualitative findings that the numbers alone cannot capture. In focus groups, students described feeling less lost. One participant, a 28-year-old returning adult student, told researchers that the topology maps made her realize "the whole class was one conversation, not a bunch of separate lectures." Another, a first-year student, said the visual representation of how concepts connected helped him see why the material mattered beyond the grade. These testimonies, while not generalizable on their own, align with the framework's core hypothesis: that making learning pathways visible reduces anxiety, supports transfer, and helps students understand their education as a coherent journey beyond a series of disconnected hurdles.
The pilot data has drawn attention from educational researchers beyond Colorado. Dr. James Whitfield, a learning sciences researcher at Stanford's Graduate School of Education, cited the framework's approach to topology mapping in a 2024 paper on adaptive curriculum design, describing it as "one of the more promising attempts to operationalize connection-making at the course level." Whitfield's paper, published in the Journal of Learning Design, noted that while the sample sizes in the pilot were too small to support strong causal claims, the directional consistency of the outcomes warranted further investigation.
The Open-Source Philosophy
One of the framework's most distinctive features is its commitment to open-source development. All tools, templates, research publications, and training materials are available through the Adaptive Learning Design Collective's website under a Creative Commons license. Institutions are free to use, adapt, and redistribute the materials without paying licensing fees or seeking permission. The only requirement is attribution.
This philosophy reflects the team's belief that the problems the framework addresses fragmented curricula, poor knowledge transfer, learner disorientation are systemic, and systemic problems require systemic solutions. "If we had patented this and put it behind a paywall, we would have solved a problem for the institutions that could afford to pay," Chen says in a 2023 podcast interview with the EdSurge podcast. "That's not solving the problem. That's selecting for the problem."
The open-source model has attracted contributions from educators and researchers beyond the original team. As of June 2026, the framework's community repository includes adaptations for K-12 science curricula, professional development programs for healthcare educators, and a set of topology templates for online course design contributed by a instructional designer at a large public university in Texas. The framework's documentation has been translated into Spanish, Portuguese, and Mandarin, with additional translations underway in French and Arabic.
The decentralized, community-driven development model has its challenges. Without a central funding source, the core team relies on a combination of university support, small grants, and volunteer labor to maintain and update the tools. The Topology Mapper, currently in version 3.2, has a backlog of feature requests that the team acknowledges it cannot address as quickly as users would like. But the model has also produced something the creators did not fully anticipate: a growing community of practice, where educators share their own topology maps, discuss challenges in implementation, and offer peer support to colleagues who are new to the framework.
What This Means for EducationGuide Readers
For readers researching education resources and learning pathways, the Adaptive Learning Design Framework offers a useful lens for evaluating courses and programs. The framework's core insight that learning is more like navigating a city than climbing a ladder can help you ask better questions when you encounter a new course or training program. Instead of simply asking what topics are covered, you can ask how those topics connect to each other and to the skills you already have. Instead of assuming that a course's sequence is the only way through the material, you can look for signs that the designer has mapped the conceptual terrain and identified multiple pathways for different kinds of learners.
This is not a small thing. The education marketplace is full of courses that list topics but do not explain why those topics belong together, how they build on each other, or what a learner should do if they already know some of the material. A course that uses topology-based design or that at least makes its conceptual architecture visible tends to be more thoughtful, more coherent, and more likely to serve learners who arrive with different backgrounds and goals. When you are evaluating a program, look for evidence that the designers have thought about connections, not just coverage.
The framework also has practical value for anyone designing learning experiences whether for a corporate training program, a community education course, or a self-directed study plan. The Topology Mapper is free to use, and the framework's documentation includes a step-by-step guide for first-time users. Even if you never use the tool itself, the underlying logic map the terrain before you build the pathway can improve how you structure any learning experience.
Looking Ahead: The Next Phase
In the spring of 2025, the Adaptive Learning Design Collective received a three-year grant from the National Science Foundation to expand the framework's reach into K-12 science education. The grant will fund partnerships with school districts in Colorado, New Mexico, and Arizona, with a focus on designing topology-based curricula for middle school earth science a subject that Vasquez describes as "a perfect storm of disconnected topics, from plate tectonics to weather systems to the water cycle, that students experience as a random collection of facts beyond a coherent world."
The NSF grant will also support the development of a student-facing version of the Topology Mapper, designed for learners more than educators. If the tool works as intended, students will be able to see the conceptual landscape of their course, identify which concepts they have mastered and which they are still building, and choose their own pathways through the material based on their interests and goals. It is an ambitious expansion, and the team is careful to note that the student-facing version is still in early development.
Beyond the NSF project, the team has begun exploring how the framework's topology approach might apply to competency-based credentials and micro-credential programs an area of rapid growth in the post-secondary education landscape. The question driving this exploration is one that the original team has been asking since 2018: if learning is a landscape, how do we design credentials that reflect the actual routes a learner has traveled, more than the checkpoints an institution has decided to recognize?
It is a question without a simple answer. But the Adaptive Learning Design Framework, with its yarn-covered whiteboards, its open-source tools, and its growing community of practice, offers a way of thinking about education that may make the answer easier to find. The map is not the territory. But a good map can change how you move through one.
Where to Read Further
The Adaptive Learning Design Collective maintains a public repository of tools, templates, and research publications at its official website. The best starting point for educators and curriculum designers is the Framework Implementation Guide, a comprehensive introduction to the core concepts and tools. The 2024 pilot outcomes report, "Mapping Momentum," is available as a downloadable PDF and includes detailed methodology, participant demographics, and qualitative findings alongside the quantitative results. For a shorter overview, the team's 2022 article in the Journal of Learning Design, "Topology as Pedagogy: Designing for Connection more than Sequence," provides a peer-reviewed introduction to the theoretical foundations.
Dr. Elena Vasquez's 2022 interview with the Association for the Advancement of Computing in Education offers a practitioner-level discussion of how the Topology Mapper works in practice, including common challenges and design decisions. The framework's community repository, hosted on a public GitHub page, includes user-contributed topology maps and adaptation templates that illustrate the range of contexts in which the tools have been applied.
| Resource | Type | Best For |
|---|---|---|
| Framework Implementation Guide | Official documentation | First-time users, curriculum designers |
| Mapping Momentum (2024 pilot report) | Research report | Evidence-focused evaluation, grant writing |
| Topology as Pedagogy (Journal of Learning Design) | Peer-reviewed article | Academic context, theoretical background |
| Vasquez AACE interview (2022) | Practitioner interview | Classroom implementation, tool walkthrough |
| Community GitHub repository | Open-source tools | Advanced users, adaptation examples |
Frequently Asked Questions
What is the Adaptive Learning Design Framework?
The Adaptive Learning Design Framework is a research-backed approach to curriculum architecture developed at the University of Colorado Boulder. Its core innovation is the "learning topology" model, which represents knowledge as a spatial network beyond a linear sequence, allowing educators to design courses that make connections between concepts visible and navigable.
Who created the framework?
The framework was developed by Dr. Elena Vasquez, Dr. Marcus Chen, and Dr. Amara Okafor, three educational researchers who met at a 2018 conference on competency-based education. The project is housed within CU Boulder's School of Education and operates as the Adaptive Learning Design Collective, an open-source community.
Is the framework free to use?
Yes. All tools, templates, research publications, and training materials are available under a Creative Commons license. The Topology Mapper can be downloaded at no cost from the collective's website, and institutions are free to adapt the materials for their own contexts without paying licensing fees.
What evidence supports the framework's effectiveness?
A 2024 pilot study conducted in partnership with three community colleges showed a 23% improvement in course completion rates in biology courses that adopted the framework's topology-based design. Students also reported higher confidence in their ability to connect concepts across courses. The peer-reviewed theoretical foundations are published in the Journal of Learning Design.
Can individual learners use the framework?
Currently, the primary tools are designed for educators and curriculum designers. However, the team is developing a student-facing version of the Topology Mapper with NSF funding, expected for release in 2027. In the meantime, learners can benefit from the framework's underlying logic by asking how the courses they take connect concepts to each other and to their existing knowledge.