astronomy

Richard E. Mayer

Richard E. Mayer 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 Richard E. Mayer rather than just read about it. In short: Richard E. Mayer (born 1947) is an American educational psychologist and Professor of Psychology at the University of California, Santa Barbara (UCSB) where he has served since 1975.

Key takeaways

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

Reference excerpt

Richard E. Mayer (born 1947) is an American educational psychologist and Professor of Psychology at the University of California, Santa Barbara (UCSB) where he has served since 1975. He received a PhD in psychology from the University of Michigan (1973), and served as a Visiting Assistant Professor of Psychology at Indiana University (1973–1975). Mayer has made significant contributions to theories of cognition and learning, especially as they relate to problem solving and the design of educational multimedia. His best known contribution to the field of educational psychology is multimedia learning theory, which posits that optimal learning occurs when visual and verbal materials are presented together simultaneously. He is the year 2000 recipient of the E. L. Thorndike Award for career achievement in educational psychology, and the winner of 2008 Distinguished Contribution of Applications of Psychology to Education and Training Award from the American Psychological Association. He was ranked #1 as the most productive educational psychologist in the world for 1997–2001. An autobiographical account of Mayer's intellectual development is available in the "Acquired Wisdom" section of "Education Review".

Writings Mayer is the author of more than 390 publications including 23 books on education and multimedia. A selection:

Multimedia Learning. New York: Cambridge University Press, 2001. ISBN 978-0-521-78749-9 Learning and Instruction. Upper Saddle River, N.J.: Merrill, 2003 ISBN 978-0-13-098396-1 With Clark, Ruth Colvin. E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning. San Francisco, CA: Jossey-Bass/Pfeiffer, 2003. ISBN 978-0-7879-6051-3 The Cambridge Handbook of Multimedia Learning. Cambridge, U.K.: Cambridge University Press, 2005. ISBN 978-0-521-83873-3 The Cambridge Handbook of Multimedia Learning Second Edition. Cambridge, U.K.: Cambridge University Press, 2009. ISBN 978-0-521-51412-5

References

External links Richard Mayer bio, University of California, Santa Barbara

Illustrations

Worked examples

Example 1 — a first encounter with Richard E. Mayer

Start with the simplest possible case. Write down what Richard E. Mayer 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 Richard E. Mayer 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 Richard E. Mayer 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 Richard E. Mayer

In research: Richard E. Mayer 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 Richard E. Mayer 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: Richard E. Mayer is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1947 births, American educational psychologists, American psychologist stubs, so understanding it makes those chapters shorter.
In everyday life: Look for Richard E. Mayer 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 Richard E. Mayer in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Richard E. Mayer 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 Richard E. Mayer out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Richard E. Mayer in simple terms?

Richard E. Mayer (born 1947) is an American educational psychologist and Professor of Psychology at the University of California, Santa Barbara (UCSB) where he has served since 1975.

Why does Richard E. Mayer 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 Richard E. Mayer?

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 Richard E. Mayer.