astronomy

Scott Crossley

Scott Crossley 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 Scott Crossley rather than just read about it. In short: Scott Andrew Crossley (born 1973) is an American linguist. He is a professor of applied linguistics at Vanderbilt University, United States.

Key takeaways

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

Reference excerpt

Scott Andrew Crossley (born 1973) is an American linguist. He is a professor of applied linguistics at Vanderbilt University, United States. His research focuses on natural language processing and the application of computational tools and machine learning algorithms in learning analytics including second language acquisition, second language writing, and readability. His main interest area is the development and use of natural language processing tools in assessing writing quality and text difficulty. Along with Cumming, Hyland, Kormos, Matsuda, Manchón, Ortega, Polio, Storch and Verspoor he is considered one of the most prominent researchers on second language writing.

Career Crossley obtained his Bachelor of Arts degree in history at the California State University of Northridge in 1999. In the same year he obtained a Teaching English as a second or foreign language certificate at the University of Memphis. He got his Master of Arts degree in English language at the University of Memphis in 2002 and a Doctor of Philosophy degree in 2006.

Research Crossley is noted for his work on second language acquisition with a special focus on second language writing and second language vocabulary. In his research he focused on coherence, cohesion, latent semantic analysis, hypernymy and readability. He is noted for the use of computational tools such as Coh-Metrix. Crossley has been involved in the development of numerous natural language processing tools such as Constructed Response Analysis Tool (CRAT), Sentiment Analysis and Cognition Engine (SEANCE), Simple NLP (SiNLP), Tool for the Automatic Analysis of Lexical Sophistication (TAALES), Tool for the Automatic Analysis of Text Cohesion (TAACO), Tool for the Automatic Analysis of Syntactic Sophistication and Complexity (TAASSC).

Publications Crossley's work has been published in the Written Communication, The Modern Language Journal, TESOL Quarterly, Journal of Second Language Writing, Language Learning, and Studies in Second Language Acquisition.

Bibliography

Articles McNamara, Danielle S.; Crossley, Scott A.; McCarthy, Philip M. (January 2010). "Linguistic Features of Writing Quality". Written Communication. 27 (1): 57–86. doi:10.1177/0741088309351547. S2CID 27692609. Crossley, Scott A.; Louwerse, Max M.; McCarthy, Philip M.; McNamara, Danielle S. (March 2007). "A Linguistic Analysis of Simplified and Authentic Texts". The Modern Language Journal. 91 (1): 15–30. doi:10.1111/j.1540-4781.2007.00507.x. Crossley, Scott A.; Greenfield, Jerry; McNamara, Danielle S. (September 2008). "Assessing Text Readability Using Cognitively Based Indices". TESOL Quarterly. 42 (3): 475–493. doi:10.1002/j.1545-7249.2008.tb00142.x. Crossley, Scott A.; McNamara, Danielle S. (June 2009). "Computational assessment of lexical differences in L1 and L2 writing". Journal of Second Language Writing. 18 (2): 119–135. doi:10.1016/j.jslw.2009.02.002. Crossley, Scott A.; Allen, David B.; McNamara, Danielle S. (April 2011). "Text readability and intuitive simplification: A comparison of readability formulas". Reading in a Foreign Language. 23 (1): 86–101. CiteSeerX 10.1.1.1027.251. hdl:10125/66657. ProQuest 1705666907. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)

References

External links Official website

Worked examples

Example 1 — a first encounter with Scott Crossley

Start with the simplest possible case. Write down what Scott Crossley 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 Scott Crossley 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 Scott Crossley 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 Scott Crossley

In research: Scott Crossley 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 Scott Crossley 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: Scott Crossley is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1960 births, American academic journal editors, Applied linguists, so understanding it makes those chapters shorter.
In everyday life: Look for Scott Crossley 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 Scott Crossley in 20 minutes

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

Frequently asked questions

What is Scott Crossley in simple terms?

Scott Andrew Crossley (born 1973) is an American linguist. He is a professor of applied linguistics at Vanderbilt University, United States.

Why does Scott Crossley 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 Scott Crossley?

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 Scott Crossley.