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Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214980
Inglês
Texto associado
Vale destacar que, no centro de uma pedagogia crítica da
linguagem, está a crença de que o objetivo é a conscientização
dos alunos tanto da forma como eles existem no mundo quanto
do fato de que esse mundo não é estático, mas está em constante
transformação, cabendo a eles serem seus protagonistas e agentes
transformadores.
Face a esse deslocamento da concepção de língua como
instrumento para a de língua como forma/lugar de interação
social, bem como de uma abordagem neutra e instrumental para
uma abordagem crítica da língua/linguagem, os desafios postos
ao professor não possibilitam respostas fáceis nem receitas
prontas ou infalíveis.
Indubitavelmente, as recentes orientações curriculares
sustentam a revisão e reelaboração de um currículo escolar que
tem se mostrado estéril. Parece cada vez mais evidente que a
educação linguística na língua inglesa, necessária à sociedade
brasileira contemporânea, inclui desenvolvimento de letramento
em discursos multimodais (multiletramentos), percepção crítica
do papel da lingua(gem) nas diversas práticas sociais, além de
capacidade de operar em situações interculturais cada vez mais
frequentes. A abordagem crítica da lingua(gem) parece
devidamente talhada para lidar com silêncio, dúvida, contradição,
incerteza, desestabililização de certezas, desnaturalização do
lugar comum. O objetivo não é formar alunos colonizados, mas
sim questionadores, críticos e agentes transformadores da
realidade que os cerca, marcada por desigualdades, violência e
injustiças sociais, preconceito, baixa autoestima etc.
Maura Regina Dourado. Tendências atuais no ensino de língua inglesa e
implicações para formação de professores. In: Ariús – Revista de
Ciências Humanas e Artes, v. 13, n. 2, jul./dez., 2007 (com adaptações).
No que concerne ao ensino de língua estrangeira e ao conceito de
língua, julgue o item a seguir, considerando o texto precedente.
A prática linguística no contexto da língua escrita deve permanecer como foco de ensino.
A prática linguística no contexto da língua escrita deve permanecer como foco de ensino.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214979
Inglês
Concerning the concepts of skimming and scanning, judge the following item.
It is important to read the summary of an article to stablish
an adequate scanning process.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214978
Inglês
Concerning the concepts of skimming and scanning, judge the following item.
Looking up the meaning of a word in the dictionary is an
example of scanning.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214977
Inglês
Concerning the concepts of skimming and scanning, judge the following item.
Reviewing is one of the applications of the scanning method.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214976
Inglês
Concerning the concepts of skimming and scanning, judge the following item.
To find numbers or dates quickly in a text, we may use the
scanning method.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214975
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
In “He noted that sarcasm and irony only make sense within
this widened context”, the adjective “widened” is
synonymous with expanded.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214974
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
Several human aspects can be regarded as impediments to
correct interpretation of language.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214973
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
Dr. Majfud warns about the excess of reliance on language
technology.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214972
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
Michael Housman is a chess specialist.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214971
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
Julio Cortázar would have called automatic translators
“zombies”.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214970
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Considering information from text 7A1, judge the following item.
In the text, there are examples of English-Portuguese cognate
words such as “sarcasm”, “cultural” and “cemeteries”.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214969
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Dr. Majfud considers that AI will soon be able to interpret
full sentences.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214968
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
According to Dr. Majfud, we have a positive cultural future
if we trust technology.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214967
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Even though language is everywhere, its rules are not as
exact as in games.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214966
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Michael Housman explains that, for machines, it is easier to
translate than to play chess.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214965
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Despite the advances in technology, translation is still a
difficult task for artificial intelligence.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Ciências |
Q2214934
Ciências
Em relação à atmosfera na Terra, julgue o próximo item.
O gás metano (CH4), um dos elementos que constitui a
atmosfera da Terra, é altamente eficiente na retenção de calor.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Ciências |
Q2214933
Ciências
Julgue o próximo item, com referência às condições ambientais e de sobrevivência da Terra.
Água e carbono são essenciais para o surgimento dos seres
vivos no planeta, e a manutenção da vida na Terra pode ser
promovida por diferentes fatores, como temperatura,
camadas da atmosfera, campo magnético e distância do Sol.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Ciências |
Q2214932
Ciências
Julgue o próximo item, com referência às condições ambientais e de sobrevivência da Terra.
A principal justificativa para o fato de muitas espécies de
animais invadirem os centros urbanos é a reprodução
descontrolada que gera aumento populacional dessas
espécies e diminui sua área territorial.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Ciências |
Q2214931
Ciências
Acerca da metodologia de ensino de ciências, julgue o item a seguir.
O ensino por investigação é uma abordagem didática que
congrega diversas estratégias, das mais inovadoras às mais
tradicionais, cuja participação dos estudantes não deve se
restringir a ouvir e copiar o que o professor propõe.
Conheça nossos planos