Questões de Inglês para Concurso
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1. The team at Rutgers was experimenting with creating electric signals.
2. None of the physicists expected pharmaceutical powders to stick together.
3. The small lightning bolt, or electric charge, followed a short time after the powder had fallen apart.
4. The electrical charge only affected powders that have fallen apart suddenly.
5. In the experiment, the electric charge always appeared before the materials fell apart.
Choose the alternative which contains the correct sentences.
( ) Some years ago, a court found that seven scientists were responsible for 300 deaths and 1,500 injuries in the L’Aquila earthquake.
( ) Several research studies in physics and biology show that electric charges may be able to predict earthquakes in the future.
( ) Scientists in Britain and Russia have developed satellites that can already predict earthquakes accurately.
( ) Scientists believe that rocks may become electrically charged before an earthquake.
Choose the alternative which presents the correct sequence, from top to bottom.
“In order to become effective, teachers have to be professionally prepared. Teachers therefore need to experience continuing professional development so as to become more effective (Harris, 2002). For pre-service teachers, teaching practice is one of the key elements in their training (Haigh and Tuck, 1999; Hill and Brodin, 2004). Through pre-service training, student teachers are provided with experience in teaching and learning in and outside the classroom, as well as opportunities to enhance the development of their characters so as to become ethical and professional (Kennedy, 2006). Some past studies have proven that teaching practice helps pre-service teachers to have better discussions with lecturers and mentors, and thus helps pre-service teachers to determine the approaches to use and their implications in teaching (Botha and Reddy, 2011; Agbo, 2003). In addition, teaching practice has been found to help pre-service teachers to enhance those skills related to problem identification, decision making, and the selection of approaches to overcome problems in classroom situations, and has also been found to be incredibly significant in developing pre-service teachers’ confidence in themselves (Khalid, 2014). Nevertheless, teachers’ professional development is not merely limited to preservice training. Berliner (1995) views the initial stage of new teachers’ professionalism as the critical stage in which novice teachers will face numerous conflicts, responsibilities and tasks”.
That being said, relying on linguistic skills and reading techniques, check the answer which is associated with the global meaning of the excerpt of the paper provided.
(A) The Natural Order hypothesis.
(B) The Affective Filter hypothesis.
(C) The Acquisition-Learning hypothesis
(D) The Monitor hypothesis
(E) The Input hypothesis
( ) This hypothesis reinforces that our ability to produce statements in another language is the result of unconscious knowledge and that conscious knowledge has the function of editing and correcting the output (oral productions).
( ) According to this hypothesis, learners who are poorly motivated, insecure, anxious and with low self-esteem would be prevented from connecting the input with the LAD (Language Acquisition Device).
( ) This hypothesis predicts that there is only one way to acquire the language: understanding messages.
( ) This hypothesis predicts that there are two ways to develop a second language. The first one would be unconscious and the second one would be conscious.
( ) This hypothesis suggests that we acquire the rules of a language regardless of how these rules are taught in the classroom.
Planes top 800 mph as near-record winds sweep high over Mid-Atlantic
(Available at: www.washingtonpost.com/weather/2024/02/18/record-jet-stream-winds-dc-flights/ – text
specially adapted for this test)
Text CB1A7
Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco.
California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second.
Internet: <www.economist.com> (adapted).
Text CB1A7
Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco.
California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second.
Internet: <www.economist.com> (adapted).
Text CB1A7
Whenever a global economic transformation takes place, a single city usually drives it forward. Ghent, in modern-day Belgium, was at the core of the burgeoning global wool trade in the 13th century. The first initial public offering took place in Amsterdam in 1602. London was the financial centre of the first wave of globalisation during the 19th century. Today the city is San Francisco.
California’s commercial capital has no serious rival in generative artificial intelligence (AI), a breakthrough technology that has caused a bull market in American stocks and which, many economists hope, will power a global productivity surge. Almost all big AI start-up companies are based in the Bay Area, which comprises the city of San Francisco and Silicon Valley (largely based in Santa Clara county, to the south). OpenAI is there, of course; so are Anthropic, Databricks and Scale AI. Tech giants, including Meta and Microsoft, are also spending big on AI in San Francisco. According to Brookings Metro, a think tank, last year San Francisco accounted for close to a tenth of generative AI job postings in America, more than any other city of the country. New York, with four times as many residents, was second.
Internet: <www.economist.com> (adapted).