Safety and evidence boundary
Use only teacher- or parent-approved low-risk investigations, supplied datasets, paper models, or simulations. No human-subject experimentation, personal health data, biological culturing, unknown environmental samples, hazardous chemicals, animal manipulation, ingestion studies, or medical claims are permitted. If a proposed investigation cannot meet these limits, convert it to a data-analysis or model-based study.
Explicit science instruction
A scientific investigation begins with a phenomenon or pattern, but a useful research question must identify what will be compared or measured. Questions that are too broad—such as “How do cells work?”—cannot guide a bounded investigation. Strong questions define the system, variables or categories, and the kind of evidence needed.
Before collecting data, construct an initial model: a representation of the components and relationships you think matter. The model creates predictions that can be tested. A prediction is not the same as a preferred answer; it states what evidence would be expected if the model is useful.
Vocabulary: phenomenon; research question; hypothesis; prediction; variable; comparison; model; operational definition; evidence plan.
Worked example with reasoning
Phenomenon: seedlings in two supplied image sets appear to bend by different amounts. Weak question: “Why do plants bend?” Stronger question: “In the supplied dataset, how does unilateral versus even illumination relate to mean shoot-bending angle after the same observation period?” The stronger question identifies the comparison, response variable, and dataset boundary.
Guided question
What makes a question scientifically testable rather than merely interesting?
Independent work
- Choose one approved phenomenon from this semester's biology topics.
- Write a broad question, then narrow it to one measurable comparison.
- Define the response variable operationally.
- Draw an initial causal or structural model.
- Write a prediction and one result that would challenge the model.
Misconception check
A hypothesis is not required to be correct. A useful hypothesis is clear enough to generate predictions that could fail.
Formative understanding check
Why should a student state what evidence would challenge a model before looking at the results?
Show the worked response
Doing so reduces hindsight reasoning and makes the model genuinely testable rather than allowing any result to be reinterpreted as support.
Open-book formative practice only; not an official mastery attempt or grade.
Mentor evidence conference
Ask Archaemenes to challenge the alignment among your question, method, data, graph, claim, and limitations. The mentor may critique reasoning but does not approve unsafe procedures or provide protected assessment answers.
Open Archaemenes for this lessonTeacher guidance
Foundation: use one of several pre-bounded questions and identify variables. Core: write an original bounded question, model, prediction, and challenge criterion. Extended: compare two competing models and specify evidence that would distinguish between them.
Preserve learning evidence
Keep the research question, model, method, data display, CER, correction record, and limitations in the matching Week 17 evidence field and semester portfolio.
Return to monday Evidence Workspace