WGU C683: Natural Science Lab

What C683 Natural Science Lab Actually Asks of You

WGU C683, Natural Science Lab, is a course most students meet as part of the science requirement in a bachelor's program. It is not a lecture course with a big proctored test at the end. It is a course about doing science: you research a natural-world topic using credible sources, design a simple experiment around a question you can actually answer, run it, record what happened, and write it up as a formal lab report.

Direct answer: C683 has no proctored objective assessment — you pass by submitting a written lab report performance assessment that an evaluator scores against a rubric. Pick a small, boring, easily measurable experiment you can genuinely run, then write each section of the report directly to the rubric line it answers. Precision and completeness matter far more than how impressive your experiment is.

Students land in this course from many programs — IT, business, health, education — and a lot of them have not written anything resembling a lab report since high school. That is fine. The course is not testing whether you remember cell respiration or Newton's laws. It is testing whether you can tell the difference between a credible source and a random blog, state a testable hypothesis, control your variables, and draw a conclusion your data can actually support. Those are transferable skills, and they resurface in capstones and analysis-heavy courses like D601 Data Storytelling for Varied Audiences.

This guide is independent study material from wguproctoredexams.com. We are not affiliated with WGU, and nothing here replaces your course of study, your course materials, or your instructor's guidance. Always follow the task prompt, template and rubric in your own course page — those are the authority.

The Competency Themes Behind the Rubric

The assessment is a written submission organized around a handful of competency themes. Public course descriptions consistently describe the work as centering on:

• Academic research. Locating sources about a natural-world phenomenon and evaluating them for credibility, currency, and relevance — not just citing whatever appeared first in a search.
• Scientific inquiry. Executing the scientific method properly: a clear question, a testable hypothesis, a documented procedure, identified independent and dependent variables, and controls.
• Data collection and presentation. Recording observations and measurements, and presenting them in tables or figures a reader can interpret without your help.
• Drawing conclusions. Connecting what your results actually show back to your hypothesis and your research — including saying plainly when the data did not support the hypothesis.
• Scientific writing and citation. A structured report with in-text citations and a reference list in the required style, written in your own words.

The report itself is commonly described as running through an introduction and literature review, hypothesis, methods, results, and conclusions. Check your own task template before you outline anything — headings and ordering are set by the version of the task in your course, not by this page.

One constraint worth knowing before you start brainstorming: experiments involving human subjects or vertebrate animals are not permitted. Confirm the exact wording in your task instructions, but plan around plants, materials, liquids, or physical processes rather than people or pets.

Because this is a performance assessment, there is no question bank to drill and no score to beat. There is a rubric, and every row of it is a place you can either earn a passing mark or get sent back for revision.

How Hard Is It, and How Long Should You Budget?

Many students report that C683 is one of the more manageable general education courses in terms of intellectual difficulty, but one of the easiest to underestimate in terms of calendar time. The reason is simple: your experiment usually has to run over multiple days. Plant growth, mold on bread, corrosion, dissolving rates observed repeatedly — these need real elapsed time, and you cannot compress them the night before a deadline.

Students commonly describe finishing in a couple of weeks when they choose an experiment quickly and start collecting data immediately, and dragging on much longer when they spend a week deciding what to test or discover mid-write-up that they never recorded a control. Revision cycles add time too, since evaluators return submissions with feedback and you resubmit.

A practical rule: decide your experiment in the first two days, start data collection on day three, and write the front half of the report — introduction, literature review, methods — while the experiment is still running. That single habit is the difference between a two-week course and a two-month course.

A Study Plan Built Around a Deliverable, Not a Test

Traditional exam tactics need adapting here, because what you hand in is a document, not a test score.

1. Read the rubric before you read anything else. Then turn it into an outline: one heading per rubric row. You are not writing an essay and hoping it covers everything; you are answering a checklist in prose.
2. Choose small and measurable. Good candidates produce numbers you can put in a table — time, count, height, mass, temperature. Avoid anything whose outcome is a matter of opinion, and anything requiring equipment or chemicals you do not have.
3. Use active recall on the vocabulary grading depends on. Independent variable, dependent variable, control, constant, hypothesis versus prediction, qualitative versus quantitative data. Make a dozen flashcards and review them across a few short sessions rather than one long one. Misusing these terms is a frequent reason a report reads as unclear.
4. Practice source evaluation deliberately. For every source you consider, write one sentence on who wrote it, what their credentials are, and why it belongs in a science paper. Peer-reviewed articles and university or government science pages hold up; content farms and product pages do not. The WGU Library is your fastest route to defensible sources.
5. Log data as you go, in a fixed format. A dated spreadsheet with one row per observation. Do not reconstruct measurements from memory later — that is both bad science and easy for an evaluator to spot.
6. Rehearse with simulations if hands-on options are limited. Free tools such as PhET Interactive Simulations from the University of Colorado Boulder are useful for practicing how variables and measurement behave before you commit to your own design.
7. Do a rubric self-audit before submitting. Read each rubric row, then point to the exact paragraph that satisfies it. If you cannot point to it, it is not there.

If you like structured, checklist-driven prep, the same approach transfers to other rubric-scored WGU work — see our guide to C216 MBA Capstone for how rubric-first writing plays out on a much larger project.

Where C683 Submissions Usually Go Wrong

• Picking an experiment that cannot be measured. "Does music affect mood?" has no clean dependent variable in a home setup — and involves human subjects besides. "Does water temperature affect how fast sugar dissolves?" works.
• No control or no constants. If every trial changed in more than one way, your conclusion cannot be supported, and the rubric will say so.
• Too few trials. One measurement is an anecdote. Repeat trials, and report all of them, including the odd one.
• Forcing the conclusion. A hypothesis that was not supported is a perfectly passing result, as long as you say so honestly and discuss why. Bending the interpretation to match your prediction is the classic failure.
• Weak or missing citations. Uncited claims, or citations that appear in the text but not in the reference list, cause returns. So does paraphrasing that stays too close to the original wording — write in your own voice.
• Ignoring the template. If the task provides a form or required headings, use them exactly. Reorganizing to your own taste makes the evaluator hunt for content, and hunting leads to returns.
• Submitting anyone else's lab report. Shared or purchased reports circulating online are an academic integrity violation and are easily detected. Your own small experiment, honestly reported, passes.

C683 Readiness Checklist

• Can you state your research question and hypothesis in one sentence each, without hedging?
• Does your design avoid human subjects and vertebrate animals, as the task requires?
• Can you name your independent variable, dependent variable, control, and at least two constants?
• Could you hand your procedure to a stranger and have them reproduce your experiment exactly?
• Do you have raw data recorded with dates, in a table, across multiple trials?
• Can you defend the credibility of every source in your reference list — author, publisher, and why it qualifies?
• Does every in-text citation have a matching reference entry, and vice versa, in the required style?
• Does your conclusion follow strictly from your data, including an honest statement if the hypothesis was not supported?
• Have you mapped each rubric row to a specific paragraph in your draft?
• Have you proofread once for clarity and once specifically for scientific terminology?

C683 FAQ

Is C683 an objective assessment or a performance assessment?

It is a performance assessment. There is no proctored multiple-choice exam — you submit a written lab report built around an experiment you design and carry out, and an evaluator scores it against a rubric.

Do I need a lab or special equipment?

Generally no. The task is built around an experiment you can run with ordinary, safe materials, and simulations can help you think through design. Choose something cheap and measurable; complexity earns you nothing extra on the rubric. Confirm any equipment or safety expectations in your own task instructions.

How many competency units is C683 worth?

We could not confirm a competency unit value from an official source, so we are not going to guess at one. Your degree plan in the WGU student portal shows the CU value that applies to your program — check there rather than trusting a number from a forum.

How long does C683 usually take?

Many students report finishing within a few weeks, with elapsed time driven mostly by how long the experiment must run and whether the first submission is returned for revision. Starting data collection early is the single biggest time saver.

What happens if my submission is returned?

Returns are routine and are not a failure. You receive specific feedback tied to rubric rows, fix only what was flagged, and resubmit. Students who address the feedback literally, without rewriting unrelated sections, tend to clear it on the next pass.

What if my results contradict my hypothesis?

That is completely acceptable and often makes for a stronger report. Report what happened, discuss plausible reasons, and note limitations in your design. Do not adjust data or reasoning to make the prediction look right.

Where can I find the official course details?

Check your course page in the WGU student portal for the current task prompt, template, and rubric, and see the official WGU website for program-level requirements. Our other general education guides and the full WGU course guide index can help you plan the rest of your term — including quantitative courses like C959 Discrete Mathematics I if that is next on your degree plan.