Part 3: Teaching Students to Learn From Their Results

Undergraduate researchers often think an experiment ends when the final measurement has been collected.

In reality, collecting data is only the beginning of understanding what happened.

After an experiment, students need to evaluate data quality, organize files, document deviations, interpret the findings, and determine what should happen next. These steps are central to research, but they are easy to overlook when the primary focus is on completing laboratory procedures.

For that reason, the final portion of my research planning process is devoted to documenting and reflecting on results.

Starting With Data Quality

Before interpreting the main finding, students evaluate whether the experiment worked as intended.

They review the performance of the controls, consistency among replicates, and any data that were excluded. If data were removed, the student must provide a clear justification.

This helps prevent students from immediately focusing on the most exciting result without first considering whether that result is reliable.

Students also record their raw qualitative observations. Depending on the experiment, this might include a color change, an unexpected precipitate, changes in cellular morphology, the presence or absence of a band, or a problem that occurred during sample preparation.

These observations may not appear in the final figure, but they can become extremely important when interpreting an unexpected result or troubleshooting the experiment later.

Separating Observation From Interpretation

When students prepare figures, I ask them to first describe exactly what the figure shows without interpreting why it happened.

This distinction can be difficult.

For example, 'Treatment increased fluorescence relative to the untreated group' is an observation. 'Treatment increased cellular uptake' is an interpretation that depends on what the fluorescence represents and whether alternative explanations have been excluded.

Teaching students to separate these two statements strengthens both their results writing and their scientific reasoning.

Once the observations are clearly established, students can begin considering what the results mean.

Documenting Changes and Limitations

Research plans almost always change during implementation. A concentration may be adjusted, an incubation extended, a reagent substituted, or an instrument setting modified.

Students document these deviations and explain why they occurred.

This is essential for reproducibility. The method that was originally planned is not always the method that was actually performed.

Students also identify limitations, including sources of variability, sample-size concerns, and detection or measurement constraints. I want them to recognize that discussing limitations does not weaken the research. It helps define what can and cannot reasonably be concluded from the data.

Making the Work Reproducible

The results template includes several practical data-management questions:

These habits are especially important in undergraduate research environments, where students regularly graduate and projects are transferred to new researchers.

A result is much less valuable if no one can determine how it was produced or locate the original files.

By making documentation part of the experimental workflow, rather than something completed at the end of a project, students learn that data management is a core component of responsible research.

·       Is the experiment fully recorded in the laboratory notebook?

·       Could another researcher repeat it using the information provided?

·       Where are the raw data stored?

·       Where are the processed data stored?

·       Was the correct file-naming convention used?

·       Are the final protocols available in the shared location?

Connecting Results Back to the Project

Students then explain how the experiment contributes to the larger study.

This is where students begin to understand that research planning is iterative.

The result of one experiment should influence the design of the next. A project should not continue along a predetermined path when the evidence suggests that the question, method, or interpretation needs to change.

Students identify an immediate next experiment, proposed protocol modifications, additional controls, and any new questions that emerged.

In this way, the results from one experiment become the starting point for the next planning cycle.

·       Did the results support the hypothesis?

·       Did they refine the original idea?

·       Did they contradict a previous experiment?

·       Did they raise a new question?

·       Is the next planned experiment still appropriate?

Connecting the Experiment to Student Growth

The final section asks students to reflect on the research competencies demonstrated through the experiment.

They select a small number of relevant competencies and assess their level before conducting the work. They then provide specific evidence of what they did during the experiment.

That evidence might include designing an experimental group, identifying an appropriate control, troubleshooting a weak signal, selecting a statistical test, revising a protocol, or organizing data so another researcher could reproduce the analysis.

Students then evaluate whether their competency level changed and identify a specific action they can take to improve during the next experiment.

This is an important part of the process because not every valuable research experience produces a successful result.

An experiment can fail while a student demonstrates substantial growth in preparation, troubleshooting, documentation, resilience, or scientific reasoning. Competency reflection helps make that growth visible.

From Completing Experiments to Directing Research

My goal is not for undergraduate students to immediately plan and interpret research at the level of a graduate student or experienced scientist. My goal is for them to make measurable progress toward greater independence.

At first, a student may need help recognizing whether the controls worked. Later, that same student may identify a problem before I see it and propose the next experiment needed to resolve it. A structured process for planning, documenting, and reflecting gives students repeated practice with the decisions researchers make every day. Eventually, they begin to understand that conducting research is not simply performing techniques correctly. It is making thoughtful decisions before, during, and after an experiment. That is the skill I ultimately want them to carry with them beyond my laboratory.

This is free, always will be — but if you want to say thanks, a chai latte tip is always appreciated ☕

Venmo @Jessica-Pullan