astronomy

Michael C. Frank

Michael C. Frank is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Michael C. Frank rather than just read about it. In short: Michael C. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference.

Key takeaways

Michael C. Frank belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Michael C. Frank to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Michael C. Frank from memory before moving on to harder problems.

Reference excerpt

Michael C. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference. He has also studied the role of language in numerical cognition by comparing the performance of native Pirahã language speakers to that of MIT undergraduate students in numeric tasks. For this work, he traveled to Amazonas, Brazil with Daniel Everett, a linguist best known for his claim that Pirahã disproves a crucial component of Noam Chomsky's theory of universal grammar, recursion. Frank won the Cognitive Science Society's prestigious Marr Award for this work in 2008.

LEVANTE Project Frank is now the Director of the Data Coordinating Center for the LEVANTE project. The project is a framework to support long-term longitudinal and cross-cultural studies on what affects learning variability between children.

References

Worked examples

Example 1 — a first encounter with Michael C. Frank

Start with the simplest possible case. Write down what Michael C. Frank claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Michael C. Frank before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Michael C. Frank ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Michael C. Frank

In research: Michael C. Frank appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Michael C. Frank in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Michael C. Frank is common in secondary-school and first-year university syllabi. It links to neighbouring topics American cognitive scientists, Cognitive development researchers, Hunter College High School alumni, so understanding it makes those chapters shorter.
In everyday life: Look for Michael C. Frank outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Michael C. Frank in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Michael C. Frank means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Michael C. Frank out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Michael C. Frank in simple terms?

Michael C. Frank is a developmental psychologist at Stanford University who proposed that infants' language development may be thought of as a process of Bayesian inference.

Why does Michael C. Frank matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Michael C. Frank?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Michael C. Frank.