Most professionals approach continuing education the same way they were taught to in school. You read the material, sit through the lectures, absorb the content and then at the end, prove what you know by taking a test. Study first and then assess later.
It feels logical. But decades of cognitive science research on retrieval practice suggest it’s actually backwards, for professional learning.
TL; DR
Cognitive science has long shown that being tested on material is more effective for learning than studying it, a phenomenon known as the testing effect. For professionals like doctors and specialists, who already have deep domain knowledge, this insight is especially powerful: rather than consuming broad content, they benefit most from assessments that surface specific gaps, followed by targeted learning to close them. Assessment-first learning isn’t just more efficient; it is more honest about how expertise actually develops.
- Testing is a powerful means of improving learning, not just assessing it
- Testing, as a knowledge retrieval tool, plays a critical role in consolidating learning.
- Case study-based learning or scenario-based learning (common today in healthcare and clinical scenarios) develops knowledge retrieval practice..
The Most Counterintuitive Truth in Learning
In the 1970s, researchers began documenting something that seemed paradoxical: people who were tested on material before they had fully mastered it, who struggled and made mistakes and received feedback on their shortfalls, were the ones who consistently outperformed those who spent the same amount of time simply studying. They outperformed by a significant margin.
This phenomenon, now widely known as the testing effect (or retrieval practice) has since been replicated across hundreds of studies and dozens of domains. The act of attempting to retrieve knowledge, even when you get it wrong, forces the brain to actively construct understanding rather than passively receive it. Mistakes, it turns out, are not a sign that learning hasn’t happened. They’re often the moment learning begins.
For educators and learning designers, and even for eLearning platform providers like Impelsys, this has profound implications. It suggests that the most valuable thing a learning experience can do isn’t deliver content, but is to create the right conditions for struggle, reflection, and targeted reinforcement.
There is one important caveat: for someone encountering a concept entirely for the first time, some initial exposure is necessary before testing becomes useful. You cannot retrieve what you have never encountered. Retrieval practice works best once a foundation exists — and that’s precisely what makes it so powerful in a specific context: professional and continuing education, where the learner already has years of domain knowledge to draw on.
The Real Problem Isn’t Motivation. It’s Efficiency.
For experienced professionals like doctors, clinicians, specialists and other practitioners, the challenge of continuing education isn’t a lack of willingness to learn but it’s time and relevance.
This is where the novice-versus-expert distinction matters. A student learning clinical medicine for the first time genuinely needs instruction first: the concepts, the frameworks, the vocabulary. The foundation has to be built before it can be tested. But a physician with fifteen years of practice isn’t a novice. They have a rich, deep knowledge base already in place. What they often lack (this is where passive continuing education rarely helps them identify) is insights about where that knowledge is strong and where it has quietly drifted or is outdated or simply has gaps, they weren’t aware of. What they need is a precise answer to a deceptively simple question: What do I not know well enough?
That question is almost impossible to answer through passive content consumption. Reading a module or watching a lecture tells you what the content covers. It doesn’t tell you where your understanding is strong and where it has gaps. It doesn’t distinguish between what you know deeply and what you only think you know.
Assessment, by contrast, makes the gap visible immediately. The moment you answer a question incorrectly, or find yourself uncertain, you have discovered something genuinely useful: a specific, targetable area of weakness. And that’s where real learning should begin.
What Assessment-First Learning Looks Like in Practice
The shift from “study then test” to “test then learn” isn’t just a philosophical reorientation but it is a design challenge. Building an experience that puts assessment first and makes the learning that follows feel purposeful rather than punishing, requires getting several things right at once.
While assessment-based learning incorporates assessments into the learning process, assessment-first learning makes assessment the starting point.
It starts with the assessment itself: not a high-stakes exam designed to evaluate and score, but a diagnostic tool designed to reveal. Questions that probe the depth of understanding, not just surface recall but also application of the knowledge (think Bloom’s taxonomy)
Immediately after each question, the learner should receive not just a verdict, whether their answer was right or wrong, but a rationale. An explanation of why the correct answer is correct, what the underlying principle is, and where common misconceptions or pitfalls tend to arise. This is the moment of maximum receptiveness: the learner has just encountered their own uncertainty, and their attention is fully engaged.
From there, the experience becomes personalized. A skill gap analysis maps where the learner is strong, where they need work, and crucially surfaces targeted learning content for each area of weakness. This target learning is not a new curriculum or just a catalog of topics, but it presents exactly what this learner needs to learn now based on what they’ve just demonstrated.
Then the loop closes: the learner can reassess, track their improvement, and watch their gap report update dynamically. Progress becomes visible, concrete, and motivating in a way that passive completion metrics never quite manage to achieve.
Why This Is the Future of Professional Development
The “test first, learn second” model represents something bigger than a feature set. It’s a fundamentally different philosophy about what learning is for.
Traditional professional development treats learning as a transfer of information from institution to learner, from content to brain. Assessment-first learning treats it as a process of self-discovery. The expert isn’t a passive recipient of knowledge they might or might not need. They’re an active participant in identifying and closing their own gaps.
This matters for organizations building learning experiences, not just for the learners themselves. When assessment drives content engagement rather than the other way around, there is stark improvement in completion rates, learning retention, and genuine behavior change. Learners engage with material because they’ve already seen, concretely, why it matters to them personally to achieve their learning goals.
Add AI-driven recommendation and adaptive learning into this model, and the potential scales significantly. Every learner gets a different experience, tailored to their own knowledge profile, updated continuously as they learn. Of course, it is important to have the right learning material, tagged properly to allow the eLearning platforms to surface it.
The Question Worth Asking
If you’re designing learning experiences for professionals, in healthcare, in finance, in law, in any domain where expertise matters, the most important question you can ask isn’t “how do we deliver more content?”. It is: How do we help people discover what they need to learn?
Of course you will need more content, redundant content in form of test, videos, simulations and other forms to support personalized learning, adaptive to each individual’s learning style. But the answer, more often than not, starts with a well-designed test.
At Impelsys, we’ve spent over two decades building assessment and learning solutions for some of the world’s leading professional and medical education organizations. The shift toward
assessment-first, personalized learning is not a new trend, but it’s now increasingly being adopted for professional learning and what we’re actively designing for every day
Interested in how assessment-first learning could work for your learners? We’d love to start a conversation.
References & Further Reading
The following research underpins the testing effect and retrieval practice concepts discussed in this post. These can be cited in the published version or used as a reference base for the content team.
Foundational studies on the testing effect:
- Roediger, H. L., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. One of the most widely cited studies demonstrating that repeated testing produces stronger long-term retention than repeated studying.
- Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319(5865), 966–968. — Shows that practicing retrieval is more effective than elaborative studying, even when the act of retrieval involves errors
- Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27. — A review paper summarizing the mechanisms behind retrieval practice and its implications for education.
Comprehensive review of learning strategies:
- Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4–58. — A landmark meta-analysis that ranks retrieval practice among the highest-utility learning strategies, well above re-reading and highlighting.
On desirable difficulties and effortful learning:
- Bjork, R. A. (1994). Memory and metamemory considerations in the training of human beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 185–205). MIT Press. — Introduces the concept of “desirable difficulties” the idea that conditions that make learning harder in the short term often produce stronger long-term retention
Applied to professional and medical education:
- Bjork, R. A. (1994). Memory and metamemory considerations in the training of human beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 185–205). MIT Press. — Introduces the concept of “desirable difficulties” the idea that conditions that make learning harder in the short term often produce stronger long-term retention
- Larsen, D. P., Butler, A. C., & Roediger, H. L. (2009). Repeated testing improves long-term retention relative to repeated study: A randomized controlled trial. Medical Education, 43(12), 1174–1181. — A randomized controlled trial in a medical education context confirming the advantage of repeated testing over restudying
Authored by Uday Majithia
