HOW TO BUILD SCIENTIFIC CAPABILITY WITHOUT DUMBING DOWN THE SCIENCE

Designing learning for scientific audiences presents an interesting challenge. The subject matter is often complex, the learners are highly knowledgeable and accuracy is essential. Yet the learning still needs to be accessible, engaging and effective.

This can create tension between scientific subject matter experts and learning designers. Scientists understandably want to preserve the detail and nuance of their discipline, while instructional designers are looking for ways to make information easier to understand and apply.

The solution isn't to simplify the science until it loses its meaning. It's to design learning that makes complex information easier to navigate without compromising its scientific integrity.

Understand who you're designing for

One of the most common mistakes in building scientific capability is underestimating the audience.

A programme for experienced pharmaceutical scientists is very different from an introductory course for people with little scientific knowledge. Learners may already have postgraduate qualifications, years of research experience and considerable expertise within their own disciplines.

However, that doesn't mean they understand every aspect of the subject being taught. A molecular biologist may have limited experience of non-clinical safety, while a pharmacologist may be less familiar with the operational challenges of managing a drug discovery project.

Effective learning design starts by understanding what participants already know, what they need to learn and how they will use that knowledge. This allows the learning to focus on genuine gaps without spending unnecessary time explaining concepts the audience already understands.

Simplify the learning, not the science

There is an important difference between making scientific information accessible and making it simplistic.

Complex scientific concepts often involve qualifications, exceptions and uncertainty. Removing these details indiscriminately can create an inaccurate impression of how the science works.

Instead, instructional designers should focus on how information is organised and presented. A complicated process might be introduced through an overview before individual stages are explored in greater detail. Visual explanations can help learners understand relationships between concepts, while realistic examples can demonstrate how scientific principles influence decisions.

This approach is supported by research into cognitive load and multimedia learning. Richard Mayer's work on multimedia learning demonstrates how carefully combining words and relevant visuals can support understanding, provided the presentation avoids unnecessary information and distraction. (Mayer, Multimedia Learning, Cambridge University Press)

The objective is to reduce unnecessary cognitive effort, allowing learners to concentrate on understanding the science itself.

Work closely with scientific subject matter experts

Subject matter experts are essential to developing credible scientific learning. They understand the technical content, recognise where simplification could become misleading and can identify the decisions or challenges that matter in practice.

However, asking SMEs to provide all the content for a course without first agreeing its purpose can create problems. The result may be a comprehensive collection of information rather than a focused learning experience.

A more effective approach is to involve SMEs in defining what learners need to be able to do. This helps distinguish essential knowledge from useful background information and ensures that the content supports the intended learning objectives.

For example, a course exploring a complex scientific discipline could cover an enormous amount of technical detail. However, the appropriate depth depends on what participants need to achieve. If the objective is to help scientists collaborate more effectively across disciplines, they may need to understand how specialist evidence informs wider decisions, rather than master every technical aspect of the subject.

The scientific content remains accurate and appropriately detailed, but the learning is organised around its practical application.

Use realistic scientific challenges

Scientific audiences are often comfortable with complexity. In fact, removing too much of it can make learning feel less relevant.

Consider a scenario involving the selection of a drug candidate. A simplified exercise might present three candidates with clearly different characteristics and ask learners to identify the best option.

A more realistic activity could involve candidates with competing strengths and weaknesses. One might demonstrate promising efficacy but raise concerns about exposure. Another could have a more favourable safety profile but limitations in other important characteristics.

Rather than searching for an obvious answer, learners would need to evaluate the evidence, consider uncertainties and explain their reasoning.

This type of activity encourages the application of scientific knowledge while reflecting the judgement required in real research environments. It also creates opportunities for discussion between participants with different scientific backgrounds.

Make the most of visual learning

Scientific subjects often lend themselves particularly well to visual explanations. Biological pathways, molecular interactions, experimental processes and drug development timelines can all be difficult to communicate through text alone.

Animation, diagrams and interactive models can help learners understand how different elements relate to one another. They can also make processes that are difficult to observe directly easier to explore.

However, visuals need to serve a clear instructional purpose. An animation that looks impressive but adds little to understanding is unlikely to improve learning. Equally, an overly elaborate diagram may introduce unnecessary complexity.

The most effective visual learning helps people understand something they would otherwise find difficult to grasp. Scientific accuracy, appropriate detail and clarity should guide the design decisions.

Assess understanding through application

Assessment is another area where scientific learning benefits from careful design.

Knowledge-based questions can establish whether learners understand important terminology, principles or processes. However, they may reveal relatively little about someone's ability to apply that knowledge in a realistic situation.

For more advanced scientific audiences, scenario-based assessments can provide a better indication of capability. Learners might be asked to interpret experimental results, identify potential risks, recommend further investigations or explain the reasoning behind a proposed decision.

Importantly, scientific questions don't always have one straightforward answer. Where appropriate, assessment should recognise the quality of the learner's reasoning, their understanding of uncertainty and their ability to identify when additional evidence is needed.

This is particularly valuable when developing capabilities such as scientific judgement, cross-functional collaboration and project leadership.

Respecting expertise while developing new capabilities

Building scientific capability requires a balance between technical accuracy and effective communication. Achieving that balance depends on understanding the audience, collaborating closely with SMEs and being clear about what the learning needs to accomplish.

The aim isn't to turn complex science into something artificially simple. It's to remove unnecessary barriers to understanding while preserving the detail, context and uncertainty that make the subject scientifically meaningful.

For experienced scientists, the most valuable learning often isn't about acquiring more information. It's about developing the confidence and capability to use their existing expertise in new and increasingly demanding situations.

Frequently asked questions

How do you make complex scientific training engaging?

Start by understanding the audience and the situations in which they will use the learning. Relevant examples, realistic scenarios, visual explanations and opportunities to apply scientific knowledge can make complex subjects more engaging without compromising accuracy.

How can instructional designers simplify scientific content without losing accuracy?

The focus should be on improving the structure and presentation of information rather than removing essential scientific detail. Breaking complex processes into manageable stages, using appropriate visuals and collaborating with SMEs can help make content accessible while preserving its meaning.

What role should scientific SMEs play in learning design?

Scientific SMEs help establish technical accuracy, identify essential content and ensure that scenarios reflect real scientific practice. Working collaboratively with instructional designers also helps ensure that the learning remains focused on the intended objectives.

Is eLearning suitable for highly qualified scientists?

Yes. Well-designed eLearning can be effective for scientific audiences, particularly when it provides relevant content, appropriate technical depth, realistic scenarios and opportunities to apply knowledge. The learning should reflect participants' existing expertise rather than assuming they are beginners.

How should scientific capability be assessed?

Assessment should reflect the capabilities being developed. This might include interpreting data, evaluating evidence, identifying risks, explaining scientific decisions or applying knowledge to realistic scenarios. For complex capabilities, the quality of reasoning may be as important as the final answer.

Why is instructional design important in pharmaceutical training?

Instructional design helps translate complex scientific content into structured learning experiences. It ensures that the right information is presented at the appropriate level, that learning activities support clear objectives and that participants have opportunities to apply what they learn.