The distinction the framework draws between rote and meaningful learning has a long pedigree in educational psychology, and its application to chemistry instruction helps explain why so many students pass organic chemistry without retaining much of it. Rote learning, in which facts and procedures are stored with few connections to what a learner already knows, tends to decay quickly and resists transfer to new situations. Meaningful learning, by contrast, anchors new material within existing conceptual structures, producing knowledge that is more durable and more flexible within its home domain. Novak’s later refinement of this picture, treating rote and meaningful learning as endpoints on a continuum rather than a strict dichotomy, is particularly useful for chemistry, where a single student may hold some ideas in deeply integrated form and others as isolated fragments. A student might, for example, understand the electronic logic behind nucleophilic attack while still memorizing the names of functional groups as arbitrary labels. Both states can coexist in the same course grade.

What the framework adds to this picture is the observation that meaningful learning, however well achieved, still leaves open the question of what happens to the cognitive work invested in a course once its content recedes from active use. For a premedical student who will never again draw a resonance structure after the final examination, meaningful understanding of resonance is necessary for passing but does not by itself justify the course’s place in the curriculum. The claim that organic chemistry teaches transferable thinking has traditionally been left implicit, which makes it impossible to design instruction toward it or to assess whether it has been achieved. Naming this third stage as impactful learning, with the cognitive procedure rather than the content as the unit of transfer, converts a rhetorical justification into a pedagogical target that can be deliberately pursued.

The three worked examples in the paper illustrate how specific organic chemistry tasks map onto identifiable forms of clinical reasoning. Resonance structures function as exercises in constraint-satisfaction reasoning: the learner must distribute electrons in ways that satisfy formal rules about octets, charges, and orbital overlap simultaneously, much as a clinician must reconcile multiple competing constraints when narrowing a differential diagnosis. Reaction mechanisms operate as iterative hypothesis testing, in which a proposed electron-pushing pathway generates predictions that are checked against known reactivity and revised when they fail, a structure that parallels the diagnostic reasoning physicians use when an initial hypothesis is tested against examination findings and laboratory results. Stereochemistry demands symbolic-to-spatial translation, converting two-dimensional notation into three-dimensional molecular arrangements and back again, a skill with obvious relevance to interpreting imaging studies and anatomical relationships. These mappings are not offered as proof that organic chemistry causes better clinical reasoning; rather, they identify the specific cognitive procedures that could plausibly be extracted from the content and carried forward.

The extraction dimension deserves particular attention because it marks the difference between a skill that remains bound to its training context and one that becomes deployable elsewhere. A practiced operation, such as evaluating whether a proposed resonance contributor satisfies the formal constraints, is initially entangled with the chemical content that trained it. Extraction refers to the learner’s growing ability to recognize the operation itself as a general procedure, separable from the molecules through which it was learned. This recognition does not happen automatically. Decades of transfer-of-learning research, including the work of Gick and Holyoak on analogical transfer, have shown that learners frequently fail to apply a principle they have mastered when the surface features of a new problem differ from those of the original. Detterman’s critique of spontaneous far transfer sharpened this point further, arguing that the evidence for effortless, automatic transfer across distant domains is far weaker than educational practice has assumed. Together, these literatures suggest that if transfer is desired, it must be taught explicitly rather than hoped for.

The four-step scaffolding model proposed in the paper, Name, Perform, Bridge, Generate, offers one concrete response to that challenge. Naming makes the underlying cognitive procedure visible to students as a distinct skill rather than an incidental feature of chemistry problems. Performing gives students repeated, deliberate practice in executing the procedure within the discipline’s content. Bridging asks students to identify the same procedure at work in contexts outside chemistry, such as clinical cases, thereby weakening the surface-feature dependence that typically blocks transfer. Generating, finally, requires students to produce new instances of the procedure in unfamiliar settings, which is the strongest test that extraction has actually occurred. Because the model is offered as testable rather than established, future empirical work can examine whether each step contributes measurably to transfer outcomes, whether the steps are separable, and whether the sequence generalizes to other service courses across STEM disciplines.

The framing of the paper as a theory adaptation design rather than an empirical test is worth emphasizing for readers assessing its claims. Conceptual analysis of this kind does not demonstrate that impactful learning occurs under ordinary instruction; it specifies what would need to be measured and manipulated for such a demonstration. The framework’s value lies partly in its falsifiability: if students taught with explicit transfer scaffolding show no greater ability to deploy constraint-satisfaction reasoning or hypothesis testing outside chemistry than students taught conventionally, the proposal would need revision. Conversely, measurable gains would support the argument that naming impactful learning as a distinct pedagogical stage changes what instruction can accomplish.

The empirical context for these questions is sobering. The findings cited by Dixon and colleagues indicate that while a majority of medical students, 54.9 percent, agreed that learning organic chemistry prepared them for critical thinking, a substantial minority did not endorse that perception. More strikingly, 53.4 percent did not consider organic chemistry valuable to their medical education, and 65.9 percent believed other courses could more appropriately occupy its place in the curriculum. These numbers suggest that the implicit justification for the requirement is not even persuading the students who experience it. If the course’s real value lies in transferable reasoning skills, then the current situation represents a communication and design failure: the value exists, if at all, invisibly. Making the transfer target explicit, as the framework proposes, addresses both halves of the problem, giving instructors something concrete to teach toward and giving students a rationale they can evaluate rather than merely endure.

Johnstone’s three-level model of chemical knowledge also gains new relevance under this framing. The difficulty of chemistry, on this view, is not incidental friction but a structural consequence of asking learners to reason about entities that cannot be seen using a symbolic system whose validity rests on formal rules. Even the macroscopic level is already an abstraction, since pure elements and compounds are rarely encountered outside the laboratory. If that structural difficulty is what forces students to exercise specific reasoning procedures, then the difficulty itself, long treated as the course’s principal liability, becomes the very feature that generates its potential transfer value. This reframing does not make the difficulty less burdensome for students, but it changes the question instructors should ask: not how to reduce the challenge, but how to ensure the cognitive work the challenge demands is named, practiced, and extracted.

The implications extend beyond organic chemistry to service courses throughout STEM. Physics for life sciences, calculus for biology majors, and statistics for social scientists all face versions of the same tension: content justified by its disciplinary necessity, experienced by many students as irrelevant to their futures. If the impactful learning framework holds, the resolution lies not in trimming content further, which the comparative international evidence suggests has limits, but in redesigning instruction so that the generalizable procedures embedded in the content are made explicit targets of teaching and assessment. Assessment practices would need to change accordingly, since examinations that reward only within-domain performance cannot detect whether extraction has occurred. Whether the framework survives empirical scrutiny remains to be seen, but it converts a long-standing debate conducted in the currency of content into one conducted in the currency of cognitive procedure, which is arguably the variable that matters most for students whose professional lives will unfold far from the laboratory bench.

Subject of Research: A conceptual framework proposing

Article Title: A conceptual framework: what is impactful learning? A case study of teaching organic chemistry for pre-medical students

Article References: Nguyen, L. H. (2026). A conceptual framework: what is impactful learning? A case study of teaching organic chemistry for pre-medical students. Frontiers in Education, 11, Article 2002414. https://doi.org/10.3389/feduc.2026.2002414

Image Credits: AI Generated

DOI: 10.3389/feduc.2026.2002414

Keywords: organic chemistry, impactful learning, premedical education, transfer of learning, clinical reasoning, instructional design, resonance structures, reaction mechanisms, stereochemistry, meaningful learning, cognitive skills, medical education