3.2 The History and Nature of Science

Key Takeaways

  • Science is a tentatative, evidence-based enterprise: conclusions shift when new verifiable evidence emerges, so even well-established ideas can be revised.
  • Peer review and replication are the quality-control mechanisms of science — a single study rarely settles a question, but independent confirmation by other scientists builds confidence.
  • Scientific ethics requires honesty and prohibits fabrication, falsification, and plagiarism; human and animal subjects must be protected by informed consent and Institutional Review Board (IRB) oversight.
  • Contributors to scientific knowledge span every background and gender; Marie Curie, Rosalind Franklin, George Washington Carver, Charles Drew, Jane Goodall, and Katherine Johnson illustrate how diverse perspectives drive discovery.
  • When two explanations fit one result, the better explanation is the one that accounts for more evidence, makes fewer unsupported assumptions, and generates testable predictions.
Last updated: August 2026

The Historical Development of Science

Science is not a static collection of facts but a continually refined body of knowledge built by people across cultures, eras, and backgrounds. The history of science shows that major advances often come from unexpected places: Newton built on Galileo's motion studies; Darwin synthesized geology, breeding, and observation; Barbara McClintock's patient corn-genetics work revealed transposable elements decades before molecular biology confirmed them. For TExES 4-8 teachers, the key instructional point is that science advances through cumulative, evidence-driven revision rather than sudden genius moments, and that contributors of both sexes and varied backgrounds have shaped every field.

Diverse Contributors to Scientific Knowledge

The table below lists contributors the TExES framework commonly expects middle-grades candidates to know. Use these as classroom anchors when teaching the nature of science.

ContributorFieldContribution
Marie Curie (1867-1934)Physics / ChemistryFirst person to win Nobel Prizes in two sciences; isolated radium and polonium; pioneered radioactivity research
Rosalind Franklin (1920-1958)BiophysicsX-ray diffraction "Photograph 51" provided the empirical basis for the DNA double-helix model
George Washington Carver (c. 1864-1943)Agricultural scienceDeveloped crop-rotation and hundreds of peanut/sweet-potato products, rebuilding Southern soils depleted by cotton
Charles Drew (1904-1950)Medicine / hematologyEstablished blood-bank and plasma-storage protocols; first African American to earn a Doctor of Science from Columbia
Jane Goodall (b. 1934)Ethology / primatologyLong-term wild chimpanzee study showing tool use and social behavior, reshaping the human-animal boundary
Katherine Johnson (1918-2020)Mathematics / aerospaceOrbital-mechanics calculations for NASA Mercury and Apollo missions; verified early computer-generated trajectories
Tu Youyou (b. 1930)PharmacologyExtracted artemisinin from sweet wormwood, the basis of modern malaria treatment; Nobel Prize 2015
Miguel Altieri (b. 1950)AgroecologyDeveloped agroecology framework linking biodiversity, soil health, and small-farm resilience

The point for instruction is not memorizing dates but illustrating that scientific progress depends on diverse observers asking different questions. Carver's agricultural chemistry, Franklin's imaging, and Johnson's orbital math each advanced knowledge because their backgrounds led them to look where others had not.

The Nature of Science: Empirical, Logical, Tentative

Four characteristics define reliable scientific knowledge:

  1. Verifiable empirical evidence — claims rest on observations and measurements that other trained observers can check. A 4-8 example: students comparing plant growth under different light colors must measure height with the same ruler, not rely on impressions.
  2. Logical reasoning — conclusions follow from evidence through valid inference. Inductive reasoning generalizes from many observations ("all sampled magnets attract iron"), while deductive reasoning tests predictions from a hypothesis ("if light is a wave, it should diffract").
  3. Prediction — a useful hypothesis forecasts what should happen in a new situation. Mendeleev's periodic table predicted unknown elements; their later discovery confirmed the model.
  4. Peer review and replication — before publication, experts evaluate method, data, and reasoning; after publication, other labs repeat the work. Replication is the safeguard against error and fraud: a result that no one can reproduce is treated with suspicion.

Tentativeness follows from these features. Because new evidence can override prior conclusions, scientific knowledge is always open to revision. This is a strength, not a weakness: plate tectonics replaced continental drift once seafloor data became available; classical genetics was expanded, not overturned, by molecular biology. Texas 4-8 students should learn that "changed by new evidence" does not mean "science is just opinion."

Scientific Ethics

Scientific ethics sets standards that keep the enterprise trustworthy:

  • Honesty in reporting — record data as collected; do not omit inconvenient results to make a graph look cleaner.
  • No fabrication, falsification, or plagiarism — fabrication invents data; falsification alters it; plagiarism presents another's work without attribution. Any of these is research misconduct.
  • Protection of human subjects — informed consent, the right to withdraw, and review by an Institutional Review Board (IRB) are required for studies involving people. The Belmont Report principles—respect for persons, beneficence, and justice—guide this work.
  • Protection of animal subjects — the "3 Rs" (Replacement, Reduction, Refinement) minimize animal use and suffering; protocols are reviewed by an Institutional Animal Care and Use Committee (IACUC).
  • Conflicts of interest — financial, personal, or institutional ties that could bias results must be disclosed so reviewers and readers can weigh them.

A 4-8 classroom analogy: a student who changes a measurement to match a friend's answer is committing falsification. Teachers should model honest data recording even when results are unexpected.

Evaluating Multiple Explanations for One Result

A single observation often fits more than one explanation. The TExES expects teachers to guide students through structured comparison:

  • Explanatory scope — which explanation accounts for more of the observed evidence?
  • Assumptions — which makes fewer unsupported assumptions? (Occam's razor favors the simpler adequate explanation.)
  • Testability — which generates new predictions we can check?
  • Consistency — which aligns with established principles?

Example: if tomato plants in two beds grow at different rates, possible explanations include soil nutrients, sunlight, water, or genetics. A student who controls variables one at a time and finds that only nitrogen differs is justified in preferring the nutrient explanation over a vague "some plants are luckier" claim.

The inquiry-process skills that produce this evidence — forming hypotheses, designing controlled investigations, and analyzing data — are covered in the previous section, "The Scientific Inquiry Process." This section focuses on what we do with the evidence once we have it: we reason about it honestly, share it for scrutiny, and stay willing to revise it.

Test Your Knowledge

A researcher changes a few data points so the graph matches the hypothesis. This is best described as:

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Test Your Knowledge

Which feature most clearly distinguishes scientific knowledge from other ways of knowing?

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Test Your Knowledge

Two explanations both fit an observation. Which criterion should most strongly guide a student toward preferring one explanation?

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